CN101582101A - Method and device thereof for providing individualized learning for user by using computer system - Google Patents

Method and device thereof for providing individualized learning for user by using computer system Download PDF

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Publication number
CN101582101A
CN101582101A CNA2008100375543A CN200810037554A CN101582101A CN 101582101 A CN101582101 A CN 101582101A CN A2008100375543 A CNA2008100375543 A CN A2008100375543A CN 200810037554 A CN200810037554 A CN 200810037554A CN 101582101 A CN101582101 A CN 101582101A
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knowledge point
user
learning
knowledge
information
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梁昌年
严萍宜
张晓峰
李袁
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Abstract

The invention provides a technical scheme for providing individualized learning for a user by using a learning system prestored with knowledge points of preset arrangement, corresponding knowledge contents and evaluation contents, and answers. The learning system provides the knowledge content and the evaluation content of each knowledge point for the user through the interaction with the user, analyzes the answer given by the user to the evaluation content through the preset answer, and determines the subsequent learning knowledge point for the user. The learning system provides different knowledge learning tracks and different learning contents for the users with different learning effects, thereby realizing the technical scheme of individualized learning. In addition, the learning system can record the whole learning procedure of each user, and helps the user effectively determine the knowledge points to be learned later. The recorded procedure information includes the error evaluation contents fed back by the user and can be convenient for providing the user to review at any moment, thereby improving the learning efficiency and the learning effect.

Description

Utilize computer system that the method and the device thereof of individualized learning are provided for the user
Technical field
The present invention relates to computer system, relate in particular to and utilize computer system to be provided as method and device thereof that the user provides study.
Background technology
Along with popularizing of the Internet, increasing Educational website based on the Internet has appearred, wherein also comprise many study websites.But, the knowledge content that is used to learn in these websites often simply the enumerating of information and data (as any arrangement or according to traditional syllabus by grade's layout or the like), lack the systematic generalization and the arrangement that meet the knowledge content characteristic.And existing based on network educational system only limits to it not make full use of the swift and violent and perfect day by day computer system of development and the technical advantage of network as a kind of visit means easily to the utilization of network.
Existing educational system lacks with the user effectively interactive, can not provide real individualized learning scheme for the user, and user's learning ability and potentiality are not being met far away.In addition, existing systems can not provide the effective interaction between the user, makes user's learning outcome be difficult to be shared mutually.The 3rd, do not make full use of the dynamic perfromance of based on network computer system, do not make full use of the collection intelligence of based on network computer system and the ability of self-teaching yet, make user's learning process and ability and the content of gaining knowledge without any relation.
For example, usually after the each login of user, educational system can present a fixing page, and then goes to select it to want the knowledge content of learning by the user, perhaps does one's exercises or tests.Its problem is, these educational systems offer the user normally disperse or study theme at random, or static knowledge content, this is unfavorable for effective study of different levels and the user with different learning abilities.Usually, the use of learning system also needs to be aided with the indication of artificial (teacher or the head of a family), otherwise learning process is difficult to continue carry out.
The version of the knowledge content in the existing Educational website (corresponding to the give lessons teaching notes of mode of tradition) is normally fixing, can not come feedback that knowledge content is described or the immobilized substance that Educational website provides is for example estimated from user's angle by the user.Therefore, limited the enthusiasm that the user participates in widely.Assessment content in the existing Educational website also lacks the layout of system, the simple combination of some exercises or examination question in the past experience normally, not meticulous layout through using at the computing machine aspect, often make the user repeatedly do identical exercise of a large amount of types and test question, wasted user's time and efforts widely, cause burnout and the dislike of user,, even user's physical and mental health had spinoff in the elementary education stage to study.
In addition, in the existing Educational website, for the user at every turn in the learning process of this Educational website, usually do not carry out record, the user can not check its learning records in the past at any time, saying nothing of the learning process information of utilizing the user analyzes to be that the user provides the knowledge content that is fit to this user better, so that this user learns effectively.In addition, owing to lack record to learning outcome, existing Educational website is paid attention to the weak part possibility of the knowledge content that the user grasps, also just can't provide effective guidance of the weak part that exists at each user, and this is each user needs emphasis especially when reviewing learning content in fact.
In a word, existing educational system can not satisfy user's individualized learning demand far away.The feature of these systems is unalterable learning content and general acceptance criteria, and the stiff communication way and the rigid form of expression.User's learning efficiency is compared with predefined results of learning, often differs greatly, and not only causes the waste of resource, has also reduced user's learning interest widely.
Although more existing Educational websites attempt addressing the above problem by customizationization to a certain degree is provided, for example provide different learning stuffs for each user, but these Educational websites also are based on traditional educational mode to a great extent, promptly use the static content of courses.The variation of these educational systems still only limits to external representation, rather than the change of basic framework, thereby make the user be forced to adapt to these educational systems, rather than provide one flexibly learning system with automatic adaptation user so that each user can bring into play its speciality or maximum potential.
Summary of the invention
In order to solve the above-mentioned shortcoming of existing based on network educational system, what the invention provides that a kind of utilization has the knowledge point of predetermined arranged mode and corresponding knowledge content and assessment content and an answer thereof provides the computer system (hereinafter to be referred as " learning system ") of individualized learning for the user.These knowledge points possess specific and the corresponding structure of knowledge of its subject, and by segmenting systematically to be fit to the user in the study on the Internet.Each knowledge point possesses a series of study relevant with the knowledge point and reviews content, comprises knowledge content corresponding with it and assessment content and answer thereof.To any one given knowledge point, learning system is by carrying out alternately with the user, for the user provides the knowledge content relevant with the knowledge point, the assessment content, and analysis user is to assessing the feedback that content is given, then according to the multi-level knowledge point structure of predetermined layout with to the user learning effect Analysis, the next knowledge point of deciding the user to learn.Because user's the answer and different (selection is relevant with factors such as interest, degree and learning abilities) of selection, system can provide unique separately study path for each user, thereby realizes and satisfy the actual requirement of each user individual study.
According to a first aspect of the invention, a kind of method that individualized learning is provided for the user by learning system is provided, wherein, this learning system prestores the relevant information of a plurality of knowledge points and each knowledge point, described relevant information comprises knowledge content and assessment content and answer thereof, described a plurality of knowledge point has predetermined arranged mode, this method may further comprise the steps: a. determines the current knowledge point of user learning, and offers this user with comprising the part of assessing content in the relevant information of described current knowledge point at least; B. according to the answer that prestores described user is analyzed the feedback information of the assessment content in the relevant information of its selected current knowledge point, to obtain the results of learning of described user to this knowledge point; C. according to the results of learning and the described predetermined arranged mode of described knowledge point, be the definite knowledge point of learning subsequently of described user.
The present invention also comprises the record to the user learning procedural information, and learning process information comprises information and/or the described feedback information and/or the described results of learning information of the knowledge point of selection, so that the student reviews the content of being learned, comprises the weak link of oneself.Simultaneously, to the result of the analysis of these information, can help the user to determine the knowledge point that the next one will be learnt effectively and meet the learning content and the assessment content of different user degree.But this system also recording user receives learning content and assessment content that the user provides to the feedback of learning content and assessment content, and the suggestion different user uses versions in various degree or different expression waies.
According to a second aspect of the invention, a kind of study generator that study is provided for the user by learning system is provided, wherein, this learning system prestore a plurality of knowledge points and with the relevant information of each knowledge point, described relevant information comprises knowledge content and assessment content and answer thereof, described a plurality of knowledge point has predetermined arranged mode, and this study generator interactive device, analytical equipment and first are determined device.Wherein, interactive device is used for determining the current knowledge point of user learning, and offers this user with comprising the part of assessing content in the relevant information of described current knowledge point at least; Analytical equipment is used for according to the answer that prestores described user being analyzed the feedback information of the assessment content of the relevant information of its selected knowledge point, to obtain the results of learning of described user to this knowledge point; First determines device, is used for results of learning and described predetermined arranged mode according to described knowledge point, determines the knowledge point of learning subsequently for described user.
Study generator of the present invention also comprises pen recorder, be used for record to the user learning procedural information, learning process information comprises information and/or the described feedback information and/or the described results of learning information of the knowledge point of selection, so that the student reviews the content of being learned, comprise the weak link of oneself.Simultaneously, first determines that device can also be according to the result of analytical equipment to the analysis of these learning process information, for the user determines the next one knowledge point that will learn and the learning content that meets the different user degree and assessment content effectively.This study generator also can comprise the 4th receiving trap, is used for the evaluation of receiving record user to learning content and assessment content.Preferably, the study generator also can comprise the 3rd receiving trap, is used to receive learning content and the assessment content that the user provides.And first determines that device can also be according to the results of learning of user in each knowledge point, and the suggestion different user uses versions in various degree or different expression waies.
The method and apparatus of the application of the invention can be in conjunction with the predetermined arranged mode in knowledge point of the present invention, for different users provides different knowledge point study tracks.And the knowledge content of study and assessment content are also different because of different user, thereby realize the individualized learning on the practical significance.By writing down each user's study overall process, the user can review easily at any time, improves learning efficiency.In order to serve the user better,, encourage the user to propose its own description and assessment content, and receive the evaluation to knowledge content and assessment content, thereby improved user's participation enthusiasm from the user to knowledge content from user's angle.
Description of drawings
By reading the following detailed description of non-limiting example being done with reference to accompanying drawing, it is more obvious that other features, objects and advantages of the present invention will become.
Fig. 1 is the network topology structure figure according to a specific embodiment of the present invention;
Fig. 2 is the page synoptic diagram according to the learning system of a specific embodiment of the present invention;
Fig. 3 is the synoptic diagram according to the tree structure of the part knowledge point of the ABC of mathematics subject of a specific embodiment of the present invention;
Fig. 4 is the synoptic diagram according to the knowledge content of a knowledge point of a specific embodiment of the present invention;
Fig. 5 is learning system provides study for the user the method flow diagram that passes through according to a specific embodiment of the present invention;
How Fig. 6 is for determining the method flow diagram of current knowledge point according to a specific embodiment of the present invention;
Fig. 7 is another page synoptic diagram according to the learning system of a specific embodiment of the present invention;
Fig. 8 is learning system provides the learning process information inquiry for the user the process flow diagram that passes through according to a specific embodiment of the present invention;
Fig. 9 is the structured flowchart that the study generator of study is provided for the user according to a specific embodiment of the present invention in learning system.
In the accompanying drawings, identical with similar Reference numeral is represented same or analogous device or method step.
Embodiment
Before introducing specific embodiment, earlier several terms of mentioning in this instructions are made an explanation:
The knowledge point: the knowledge point is the set of certain subject or a plurality of related disciplines or a cognitive element of the knowledge body in certain educational class.According to the mankind's the cognitive law and the concrete application of knowledge, the present invention is a plurality of knowledge points with the knowledge body differential.The differential method is divided into knowledge body the institutional framework of layering usually, and the knowledge point of the bottom is the ABC point, promptly to the bottom knowledge point carry out again differential for user's study without any practical value or help.For example, the mathematics subject for entry level can be divided into a plurality of one-levels knowledge points such as " number, calculation, amount, usefulness, shapes "; Wherein, " number " this one-level knowledge point can be divided into secondary knowledge points such as " understanding, integer, decimal, mark of number, numbers divide exactly, mark and percentage, ratio and ratio " again; Wherein each secondary knowledge point can be subdivided into a plurality of three grades of knowledge points again.
Knowledge content: knowledge content is the information of describing the information of knowledge point notion and/or describing the knowledge point utilization, and its form of expression can be picture, literal, multimedia animation or audio-video document.Knowledge content is normally didactic, is similar to tradition give lessons teaching notes in the mode, the perhaps content of being put down in writing on the textbook.In the present invention, knowledge content can be (being write by the expert) in the learning system in storing in advance, also can be customer-furnished.
Assessment content and answer thereof: the assessment content refers to be used to the content assessing, diagnose or practise, normally one or more exercises and/or one or more test question and/or one or more comprehensive assessment topic.Assessment content among the present invention all is the meticulous layout of process, when helping the user to grasp the knowledge point, saves user's time to greatest extent, avoids the user to be absorbed in exercises-stuffed teaching method.Answer comprises the final result of assessing content and comprises all processes of deriving answer that for example geometric proof is inscribed.And, in the assessment perhaps the carrying form of answer do not limit yet, can be the combination of literal, numeral, symbol, also can be with picture, animation or audio-video document etc.
Predetermined arranged mode: predetermined arranged mode is meant the set of certain subject or a plurality of related disciplines or the predetermined arranged mode of a plurality of knowledge points in certain educational class, according to the knowledge difficulty of knowledge point and complexity and/or interdependence layout is carried out in a plurality of knowledge points, its structure comprises tree structure, tower structure, star topology, chain structure, ring texture or reticulate texture and combination thereof, comprising the indication information of the internal relation information of each knowledge point and the knowledge point relevant with each knowledge point.Wherein, the relevant information of each knowledge point can further include and previews the knowledge point
Learning system: learning system comprise a plurality of knowledge points with predetermined arranged mode and with the relevant information of each knowledge point, this relevant information comprises knowledge content and assessment content and answer thereof etc.This learning system can receive the input information from the user, and make corresponding feedback processing according to user's input information by the user by user terminal access.Usually before the user uses learning system, prestore a plurality of knowledge points in the learning system, and can adjust a plurality of knowledge points of this predetermined arranged mode at any time with predetermined arranged mode.Learning system is usually expressed as one can be via user terminal, personal computer for example, the website of visit, the webserver for example, certainly, also may be to be stored in the user terminal, regularly or aperiodically obtain the version that upgrades from the webserver by network.Its function can be realized by software or hardware or soft, combination of hardware.
Learning process information: learning process information comprise the knowledge point that the user selects information, selection the knowledge point track, to the feedback information of the relevant information of knowledge point, and user such as take time in the learning process uses all procedural informations of learning system.At this, feedback information comprises that the user is to the assessment answer done of content and to the completion rate of assessment content.Comprise and finishing knowledge point study institute's time spent.
Results of learning: results of learning refer to the user from using learning system of the present invention, in the summation of the results of learning of each knowledge point.The results of learning of each knowledge point refer to that learning system comes the evaluation that the user is done the grasp situation of this knowledge point to the feedback information of the assessment content of this knowledge point and/or feedback speed according to the user.Its form of expression can be graduate evaluation (fails, pass, be good, outstanding).Assessment content in the knowledge point is under the situation of forms such as test question or exercise, and a kind of possible form of expression of the results of learning of knowledge point is the number percent that accounts for whole assessment contents of the exercise question that the user answered questions.Being provided with under the situation of score value in the per pass topic, can also be the mark of gained.
User related information: user related information is often referred to user's personal information, comprises the affiliated region of user, age, sex, affiliated class, father and mother's occupation, father and mother's age, other relevant informations such as educational background of father and mother.
Fig. 1 shows the network topology structure figure according to a specific embodiment of the present invention.The webserver 10 and for example personal computer 21,22 ' user terminal all are linked in the internet.As shown in Figure 1, the webserver 10 comprises I/O device, CPU processor, storer etc. based on existing server architecture.The webserver 10 moves the function that the Application Software Program that is pre-stored in wherein realizes learning system.The storer of storing this Application Software Program is any computer-readable medium, for example, hard disk, floppy disk, flash memory, CD etc., certainly, storage medium also can separate with the webserver 10.Also prestore the database of knowledge point and relevant information thereof in the webserver 10.The relevant information of knowledge point comprises knowledge content and assessment content and answer thereof.Wherein a plurality of knowledge points have predetermined arranged mode mentioned above.The user related information, learning process information etc. that preferably, can also comprise each user in the database of the webserver 10.At this, the connotation of user related information and learning process information is as indicated above.
The user can be by personal computer 21 as shown in Figure 1,22 or the user terminal access webserver 10 such as mobile phone 23, after the learning system that user's logging in network server 10 provides, by selecting its interested knowledge point to learn with repeatedly mutual (for example the importing the user name and password etc.) of learning system, and the assessment content of knowledge point correspondence fed back, learning system is assessed its results of learning according to the user to the feedback result of the assessment content of knowledge point, is the definite knowledge point of learning subsequently of user according to user's the results of learning and the predetermined arranged mode of knowledge point then.
Need to prove at this, only show a webserver among Fig. 1, those of ordinary skill in the art will be understood that the function that also can be come together to realize learning system of the present invention by a plurality of webservers alternately.In addition, user terminal also is not limited to the personal computer shown in Fig. 1, mobile phone, can also comprise PDA(Personal Digital Assistant) etc. all can access web server 10 terminal.The communication mode of the user and the webserver 10 also is not limited to above-mentioned login form, and the user can also utilize mobile phone to communicate by the mode and the webserver 10 of message interactive.For example, suppose that the user sends " 101 " to " XYZ " expression and obtains the corresponding assessment content in knowledge point " addition literal topic and application topic " from the webserver 10.
Fig. 2 shows the page synoptic diagram according to the learning system of a specific embodiment of the present invention, and after the user logined this learning system, learning system was presented to the user with content of pages as shown in Figure 2.A plurality of one-levels knowledge point " number ", " calculation ", " amount ", " usefulness ", " shape " of mathematics subject etc. have been shown among Fig. 2, and the user can browse multistage knowledge point below this one-level knowledge point by selecting the one-level knowledge point.Supposed the user before selecting the knowledge point, learning system provides the knowledge point of an acquiescence and assesses content to the user, one-level knowledge point " number " as shown in Figure 2 and corresponding assessment content " 8 * 9=_ " thereof.
Because the relevant information of each knowledge point correspondence comprises knowledge content and assessment content, assess content usually and can be subdivided into again and be used to the content practising, test, assess.The user can select the type of its relevant information that will learn before selecting the knowledge point, " knowledge point exercise " as shown in Figure 2, and then select the knowledge point.Also can select the knowledge point earlier, behind the selected knowledge point of user, learning system provides the type of the relevant information of knowledge point to select relevant information to learn for the user again, and perhaps learning system also can offer the user together with all relevant informations of knowledge point.
Fig. 3 shows the synoptic diagram according to the tree structure of the part knowledge point of the ABC of mathematics subject of a specific embodiment of the present invention.By the mathematics subjects knowledge body of crossing the threshold is carried out differential, it is divided into the institutional framework of layering, the knowledge point of the bottom is the ABC point, for ABC point carry out again differential for user's study without any practical value or help.As shown in Figure 3, this subject of mathematics of crossing the threshold at first is divided into a plurality of one-levels knowledge points such as " number ", " calculation ", " amount ", " usefulness ", " shape "; Wherein, " number " is divided into secondary knowledge points such as " understanding of number ", " integer ", " decimal ", " mark ", " dividing exactly of number ", " mark and percentage ", " ratio and ratio " again; Wherein, " integer " is divided into three grades of knowledge points such as " key concept of integer ", " size of integer relatively ", " addition of integer ", " subtraction of integer ", " multiplication of integer ", " division of integer " again; Wherein, " addition of integer " again differential be level Four knowledge points such as " ten with interior addition ", " 20 with interior addition ", " 100 with interior addition ", " addition literal topic and application topic "." subtraction of integer " differential again is level Four knowledge points such as " ten with interior subtraction ", " 20 with interior subtraction ", " 100 with interior subtraction ", " subtraction literal topic and application topic ".At this, the level Four knowledge point is the ABC point.
Need to prove that at this alleged " one-level knowledge point ", " secondary knowledge point ", " three grades of knowledge points " and " level Four knowledge point " are for the logical relation between the declarative knowledge point, and quote conveniently, there is no other special implications here.
Wherein, the relevant information of each knowledge point comprises knowledge content, the answer of assessment content and assessment content correspondence.For non-bottom knowledge point, the knowledge point that promptly comprises the lower floor knowledge point, its knowledge content can comprise the general description of the knowledge content of one or more lower floors knowledge point that it comprises, its assessment content can be a cover test question or comprehensive assessment topic, is used to test itself and one or more lower floors knowledge point of being comprised thereof.
For example, for bottom knowledge point " ten with interior addition ", its knowledge content can comprise: 1+1=2, and 1+2=3,1+3=4,1+4=5 ..., up to sum formulas such as 8+1=9.Knowledge content also can be that picture or multimedia animation are showed, as shown in Figure 4.Certainly, the form of expression of knowledge content can also be other forms of expression such as audio-video document.The assessment content corresponding with this knowledge point can comprise: Tj1:1+3=(), and Tj2:3+ ()=9, Tj3:()+6=8.
For another example, for bottom knowledge point " addition literal topic and application topic ", its knowledge content can comprise one or more examples, as, Xiao Ming has four loaf sugars, and younger brother has four loaf sugars, may I ask Xiao Ming and younger brother's one total how many loaf sugars? the row formula is calculated: 4+4=8.
Corresponding assessment content can comprise:
Tjw1: Xiao Ming will go to see grandmother from family, needs by the subway and changes a motorbus.The admission fee of subway is 4 yuan, and the admission fee of automobile is 2 yuan, may I ask from his the grandmother family of returning home will spend how many units altogether?
Tjw2: Xiao Ming will go to see grandmother from family, needs by the subway and changes a motorbus.The admission fee of subway is 4 yuan, and the admission fee of automobile is 2 yuan, but he has only 5 yuans, is money that may I ask him enough? (A. is enough; B. not enough.)
Tjw3: Xiao Ming will go to see grandmother from family, needs by the subway and changes a motorbus.The admission fee of subway is 4 yuan, and the admission fee of automobile is 2 yuan, but he has only 3 yuans, may I ask his also poor how many yuans?
Tjw4: Xiao Ming will go to see grandmother from family, needs by the subway and changes a motorbus.The admission fee of subway is 5 yuan, and the admission fee of automobile is 2 yuan, but he has only 4 yuans, should may I ask him be what if? (A. asks that father and mother want 1 yuan; B. ask that father and mother want 2 yuans; C. ask that father and mother want 3 yuans; D. do not charge.)
For another example, for non-bottom knowledge point " addition of integer ", its knowledge content can be: 1+4=5,2+3+4=9,6+7=13,12+5=17,11+23+34=68,17+8=25,5+23=28, row formulas such as 35+62=97 also can be reacted the multimedia animation of these row formula contents.Its assessment content can comprise: 2+3=(), 13+9=(), 67+5+18=(), 25+21=(), 66+33=() etc.
Fig. 5 shows the method flow diagram that study is provided for the user by learning system according to a specific embodiment of the present invention.Below in conjunction with Fig. 1, Fig. 2 and Fig. 3 this flow process is described in detail.
At first, in step S11, learning system is determined the current knowledge point that the user will learn, and will comprise that at least the part of assessing content offers this user in the relevant information of this current knowledge point.For example, the user want to learn integer ten with interior addition, learning system is by determining " ten with interior addition " this knowledge point shown in Figure 3 with the mutual of user, and offers the user with perhaps assessing content in the assessment of this knowledge point correspondence with knowledge content.Perhaps also can earlier knowledge content be offered the user according to the preference of user's setting, and then (for example passing through the schedule time) or passive will assess content offers the user (receiving the selection instruction that the user sends via user terminal) automatically.
Then, in step S12, learning system is made feedback to the user to the assessment content of current knowledge point according to the answer that prestores and is analyzed, to obtain the results of learning of this user to this current knowledge point.At this, the feedback that the user did comprises information such as the answer information of being filled out, answer speed, exercise question performance.Learning system is not only estimated user's results of learning according to the answer that the user filled out, the results of learning that can also estimate the user in conjunction with user's answer speed and exercise question performance.For example, very fast as user's answer speed, accuracy is 80%, thinks that then this user learning effect is for good; Answer speed as the user is very slow, and accuracy is 80%, thinks that then this user learning effect is for passing.Particularly, a kind of implementation of speed of how confirming user's answer speed is as follows: learning system is at the complexity of difference assessment content, different one or more time span threshold values are set, after the answer speed that obtains the user, compare to determine the speed of user's answer speed with one or more time span threshold values of being scheduled to.
At last, in step S13, learning system at the results of learning of current knowledge point and the predetermined arranged mode of knowledge point, is the definite knowledge point of learning subsequently of user according to the user.For example, the link with the knowledge point of learning subsequently offers the user.Concrete how will being described in detail hereinafter for the user determines the knowledge point of learning subsequently.
Particularly, the method for the current knowledge point that definite user will learn in step S11 comprises following dual mode at least:
Mode one: by with user interactions, to determine the current knowledge point via the input information that user terminal sends according to this user.
Particularly, user's input information comprises following several situation at least:
Situation one: information is selected in the knowledge point that the user repeatedly imports;
Situation two: the user clicks " link of the knowledge point of learning subsequently " hereinafter mentioned, and this link is provided in the results of learning of a last knowledge point according to the user by learning system;
Situation three: user's input information also comprises the key word that the user imports, and learning system also has the function of prompting this moment, promptly when the user input part key word, shows the title of the one or more knowledge points relevant with this partial key automatically.For example, when user's input " integer ", learning system shows the relevant knowledge points of integer such as " key concept of integer ", " size of integer relatively ", " addition of integer " automatically.The knowledge point title that the user can select it to want from information, perhaps all import the title of this knowledge point, then can be by clicking for example acknowledgement key of " Enter ", the expression input finishes, learning system provides this user with comprising the part of assessing content in the relevant information of this knowledge point at least after receiving the title of the knowledge point that the user selects.
Mode two: in order to keep the continuity of user learning, after the user logins learning system, need not to carry out alternately with learning system, the study schedule when learning system was logged off according to the user who has write down last time is defined as the current knowledge point that the user will learn with corresponding knowledge point.Here corresponding knowledge point comprises last knowledge point that the user learn last time, perhaps learning system according to the user in the definite knowledge point of learning subsequently of the results of learning of this last knowledge point.The simplest a kind of implementation is as follows: the page when learning system can directly withdraw from the user last time is presented to the user again.
How Fig. 6 is for determining the method flow diagram of current knowledge point according to a specific embodiment of the present invention.Below in conjunction with Fig. 6 an embodiment of the situation in the aforesaid way one one is described in detail.
At first, in step S111, learning system receives the input information that is used to select a certain knowledge point from user terminal.User's input action can be by for example clicking the mouse or button or choose in the menu that shows a plurality of knowledge points a certain knowledge point to finish.
Secondly, in step S112, learning system is according to the input information of user terminal and the predetermined arranged mode of knowledge point, search the one or more knowledge points of lower floor of this a certain knowledge point correspondence, i.e. the one or more knowledge points of lower floor of this a certain knowledge point of internal relation information searching of each knowledge point that comprises in the predetermined arranged mode of basis.Preferably, can comprise the indication information of the one or more knowledge points of lower floor of this a certain knowledge point in the relevant information of this a certain knowledge point, learning system can also be searched the one or more knowledge points of lower floor of this a certain knowledge point according to this indication information.
Then, in step S113, when finding the one or more knowledge points of lower floor, learning system then sends to user terminal with the one or more knowledge points of described lower floor.
In step S114, learning system is as judging that this a certain knowledge point does not have the lower floor knowledge point, perhaps receive the indication information that stops of indication shut-down operation that the user sends via user terminal, then determine that at step S115 this a certain knowledge point is the current knowledge point, and will comprise that at least the part of assessing content offers this user in the relevant information of this current knowledge point; Otherwise, get back to step S111 again.
Is example below in conjunction with Fig. 7 with the situation shown in the page among Fig. 2, and an embodiment determining the flow process of the current knowledge point that the user will learn among Fig. 6 is described.
After learning system offered the user with the page that comprises a plurality of one-levels knowledge point shown in Figure 2, the user therefrom selected " number " this knowledge point.Receive user's selection instruction when learning system after, search all knowledge points of lower floor of " number " this knowledge point, and send to user terminal.User terminal is presented to the user, shown in the drop-down menu as shown in Figure 7 after receiving all knowledge points of the lower floor of this " number " this knowledge point.Knowledge point in this drop-down menu of suppose user clicks " 100 with interior addition ".In this embodiment, when learning system receives user's selection instruction, because all knowledge points of lower floor of " number " this knowledge point have sent to the user, learning system is not carried out the knowledge point finding step S112 of lower floor at this moment, wait receives after user's the instruction of indication shut-down operation after (promptly clicking button " to the new knowledge point " as shown in Figure 7), and the information of part correlation at least of knowledge point " 100 with interior addition " is offered the user.
Above with reference to Fig. 7 an embodiment among Fig. 6 is had been described in detail.Situation shown in Fig. 7 is after the user selects certain one-level knowledge point, learning system is with all lower floor knowledge points of one-level knowledge point, being about to " number " knowledge point is root node, and the hierarchical relationship between all intermediate nodes under it and each knowledge point of leaf node and each knowledge point all sends to user terminal.User's situation of therefrom selecting certain knowledge point to learn again then.
One as embodiment shown in Figure 7 changes example, and learning system also can be according to the hierarchical structure relation of knowledge point, and the information with the knowledge point offers the user layer by layer, determines the current knowledge point according to a plurality of selection information of user.As shown in Figure 3, the user is if want study " integer hundred with interior addition ", then can utilize user terminal from " number ", " calculation ", " amount ", " usefulness ", select " number " this knowledge point in a plurality of one-levels knowledge points such as " shapes ", this selection instruction sends to learning system via user terminal, after learning system receives this selection instruction, predetermined arranged mode according to a plurality of knowledge points, search the next stage knowledge point of " number " this knowledge point, i.e. " understanding of number " as shown in Figure 3, " integer ", " decimal ", " mark ", " dividing exactly of number ", " mark and percentage ", secondary knowledge points such as " ratio and ratios "; Then these secondary knowledge points are sent to user terminal, further select for this user.
User terminal receives " understanding of number ", " integer ", " decimal ", " mark ", " dividing exactly of number ", " mark and percentage ", behind the secondary knowledge points such as " ratio and ratios ", present to the user, the user further therefrom selects " integer " this knowledge point, this selection instruction sends to learning system via user terminal, after learning system receives this selection instruction, the knowledge point structure predetermined according to the mathematics subject that prestores, search the next stage knowledge point of this knowledge point of integer, i.e. " key concept of integer " as shown in Figure 3, " size of integer relatively ", " addition of integer ", " subtraction of integer ", " multiplication of integer ", three grades of knowledge points such as " divisions of integer "; Learning system sends to user terminal with these three grades of knowledge points then, further selects for this user.
User terminal receives " key concept of integer ", " size of integer relatively ", " addition of integer ", " subtraction of integer ", " multiplication of integer ", behind three grades of knowledge points such as " division of integer ", present to the user, the user further therefrom selects " addition of integer " this knowledge point, this selection instruction sends to learning system via user terminal, after learning system receives this selection instruction, predetermined arranged mode according to a plurality of knowledge points, search the next stage knowledge point of this knowledge point of addition of integer, i.e. " ten with interior addition " as shown in Figure 3, " 20 with interior addition ", " 100 with interior addition ", level Four knowledge points such as " addition literal topics and application topic ".Learning system sends to user terminal with these level Four knowledge points then, further selects for this user.
After user terminal receives level Four knowledge points such as " ten with interior addition ", " 20 with interior addition ", " 100 with interior addition ", " addition literal topic and application topic ", present to the user, the user further therefrom selects " 100 with interior addition " this knowledge point, this selection instruction sends to learning system via user terminal, after learning system receives this instruction, according to the layout structure of a plurality of knowledge points, search the next stage knowledge point of " 100 with interior addition " this knowledge point.Because this knowledge point does not have the next stage knowledge point.Therefore, learning system determines " 100 with interior addition " to be the current knowledge point that the user will learn, and with the information of part correlation at least of this knowledge point, for example assesses content and offer the user.
After user terminal receives the assessment content of " 100 with interior addition ", the assessment content is fed back, promptly its answer is sent to learning system via user terminal, learning system receives after the answer that the user does, according to the answer of this assessment content that prestores, the answer that the user did is analyzed, to obtain the results of learning of user to knowledge point " 100 with interior addition ", and, be that the user determines the knowledge point of learning subsequently according to user's results of learning.
In addition, in step S11, how learning system can also comprise following mode for the user determines the mode of current knowledge point: for example, if the learning process information of learning system recording user, as the user is to use learning system the non-first time, correlated process information (for example last knowledge point of learning of the knowledge point that learning system can be learnt at last according to the user of record, field feedback, results of learning information etc.), determine the current knowledge point, this current knowledge point can be last knowledge point of study last time, it also can be the next knowledge point (according to predetermined arranged mode) of this last knowledge point, or this last knowledge point preview knowledge point or other relevant knowledge points, will be described in detail this hereinafter.
Below to the results of learning of learning system, determine that for the user process of the knowledge point of learning subsequently is elaborated according to the user.
Learning system is according to the selection information of user's input, for the user provides corresponding assessment content.As shown in Figure 3, at user learning behind the knowledge content of " 100 with interior addition " this knowledge point, select to assess content accordingly and practise to check its results of learning with this knowledge point; Perhaps the user directly selects the assessment content of knowledge point " 100 with interior addition " to test.The hypothesis evaluation content is ten road test questions, and the user submits to learning system by its employed user terminal with the answer of this ten problem.Learning system is analyzed user's answer according to the answer that prestores after the answer that receives from the user, obtaining the results of learning of this user to this knowledge point, and is that the user determines the knowledge point of learning subsequently according to results of learning.Need to prove, be under the situation of forms such as test question or assessment topic in the assessment content, and a kind of possible avatar of results of learning is the number percent that accounts for whole assessment contents of the exercise question that the user answers questions.
If user's results of learning are higher than first predetermined threshold, learning system is then determined the knowledge point that learn subsequently for the user the next knowledge point of current learning knowledge point according to predetermined arranged mode.Next knowledge point may be the knowledge point that this current knowledge point is in same level, also can put a high level than current knowledge, also can be than the low level of current knowledge point.For example, as shown in Figure 3, be " 100 with interior addition " as current knowledge point, then next knowledge point is " an addition literal topic and application topic "; Be " addition literal topic and application topic " as current knowledge point, then next knowledge point is " addition of integer "; As current knowledge point is " addition of integer ", and then next knowledge point is " ten with an interior subtraction ".
If results of learning are lower than second predetermined threshold, the knowledge point that learning system is then determined current knowledge point or learn subsequently for the user knowledge point of the even lower level that is associated with the knowledge content of current knowledge point other or same level.For example, current knowledge point is " 100 with an interior addition ", because results of learning are lower than second predetermined threshold, think that then the user does not grasp current knowledge point, need relearn the current knowledge point, perhaps " 20 with interior addition ", even " ten with interior addition ", then this moment, learning system determined that next knowledge point may be " hundred with interior addition ", also may be " 20 with interior addition " even " ten with interior addition ".At this, learning system can also be determined user's the knowledge point of learning subsequently in conjunction with the user's who is write down learning process information (this will can be described in detail hereinafter).Still connect the example of literary composition, suppose learning system go to consult this user of having write down in the knowledge point results of learning of " 20 with interior addition " and " ten with interior addition ", find that the user is very good in the results of learning of these two knowledge points, for example to the accuracy of feedback of assessment content all greater than 90%, think that then therefore the user is that current knowledge point " 100 with interior addition " is not succeeded in school, determine that knowledge point " 100 with interior addition " is the knowledge point that the user learns subsequently.If learning system is according to the learning process information that has write down, find the user in the knowledge point results of learning of " ten with interior addition " fine, the results of learning of " 20 with interior addition " are bad and in the knowledge point, for example the accuracy of feedback to the assessment content only is 50%, therefore, determine that " 20 with interior addition " is the knowledge point that the user learns subsequently.
Particularly, the value of first predetermined threshold can be 60%, if the user has answered questions ten problems, think that then this user is fine to the results of learning of " 100 with interior addition ", the suggestion user directly enters the study of next knowledge point, i.e. " addition literal topic with application topic " as shown in Figure 3, and the link of this knowledge point is provided for the user.The value of second predetermined threshold can be 50%, if the user has answered questions four problems, thinks that then this user is not fine to the results of learning of current knowledge point " 100 with interior addition ", is necessary to learn again.
At this, need to prove, first predetermined threshold can be identical with second predetermined threshold, also can be different, promptly first predetermined threshold is greater than second predetermined threshold, at this moment, if user's results of learning between first predetermined threshold and second predetermined threshold, then learning system can then can take the decision-making of other types to determine the knowledge point that the user learns subsequently.
Preferably, in the relevant information of each knowledge point or in the predetermined arranged mode information, also include the indication information that previews the knowledge point of each knowledge point correspondence, this indication information can simply be a sign that previews the knowledge point of each knowledge point correspondence.For example, the knowledge point that previews of knowledge point " 100 with interior addition " is " 20 with interior addition ", also can comprise " ten with interior addition ".Learning system can be according to the user is determined that to the results of learning of knowledge point " 100 with interior addition " and/or the indication information that previews the knowledge point of " 100 with interior addition " one or more previews the knowledge point that learn subsequently for this user the knowledge point.
Still connect the example of face, if the user has only answered questions 2 problems, think then that this user may the front preview knowledge point " 20 with interior addition " in addition " ten with interior addition " do not grasped.According to the indication information that previews the knowledge point of this current knowledge point, indicate this user to relearn " 20 with interior addition " even " ten with interior addition ".Certainly, as indicated above at this, learning system can also be in conjunction with the user's who is write down learning process information, and promptly the user determines user's the knowledge point of learning subsequently in each results of learning that preview the knowledge point.For example, all fine if learning system is found this user in the results of learning that each previews the knowledge point, think that promptly this user is only bad in the results of learning of current knowledge point, therefore, will current knowledge point as this user's the knowledge point of learning subsequently.If find that the user is bad in the results of learning that certain previews the knowledge point, certain previews the knowledge point that learn subsequently for this user the knowledge point then to determine this.
For the situation that previews in the relevant information that an indication information is included in the knowledge point.Preferably, the assessment content can also combine with the indication information that previews the knowledge point, also just assess content and comprise that also each that be used to test current knowledge point previews the test question of knowledge point, make learning system according to the feedback of user to test question, can diagnose the user to each grasp situation that previews the knowledge point, where is the problem thereby diagnose out the user.For example, in hundred four fundamental rules hybrid operations with interior integer, the assessment content can comprise following five road test questions:
SZ1：12+23＝()；
SZ2：45-31＝()；
SZ3：3×15＝()；
SZ4：20÷5＝()；
SZ5：36+8×13÷4-28＝()。
If it is wrong that user's exercise question SZ5 answers, can judge that to the answer result of front four problems the user makes mistakes wherein according to the user.For example, the user has answered exercise question SZ5 and SZ4 wrong, has answered questions SZ1, SZ2, SZ3, can think that then this user " double-digit division " does not learn well, indicates this user to relearn this moment or only exercise " double-digit division ".For another example, the user has answered exercise question SZ5 and SZ3 wrong, has answered questions SZ1, SZ2, SZ4, can think that then this user " double-digit multiplication " does not learn well, indicates this user to relearn this moment or only exercise " double-digit multiplication ".For another example, the user has answered exercise question SZ5 wrong, has answered questions SZ1, SZ2, SZ3, SZ4, and the rule that then can think this user's four fundamental rules hybrid operation is not grasped or be careless, and can indicate this user to relearn the rule of four fundamental rules hybrid operation this moment; Also can allow this user do the exercise of a four fundamental rules hybrid operation earlier earlier,, indicate this user to relearn the rule of four fundamental rules hybrid operation again,, then can think what this user's carelessness caused if this time the user has answered questions if this time the user still answers mistake.For another example, if the above-mentioned five road exercise questions of user are all answered wrong, think that then this user need learn whole knowledge points, indicate this user to relearn all knowledge points that previews this moment, i.e. " hundred with interior addition ", " hundred with interior subtraction ", " double-digit multiplication " and " double-digit division ".
In addition, for in the relevant information of each knowledge point or also include the situation of the indication information that previews the knowledge point of each knowledge point correspondence in the predetermined arranged mode information, the situation that previews the knowledge point that its correspondence is also promptly arranged for the knowledge point, the knowledge point that the user learns subsequently also may be according to predetermined arranged mode or according to the knowledge point that previews of being scheduled to the definite next knowledge point of arranged mode and results of learning.
Particularly, when each current knowledge point of user learning, can now preview the knowledge point and offer the user, be convenient to it and preview, for the study of current knowledge point is prepared.
Moreover, can also be further combined with the results of learning of user, to determine whether that the knowledge point that previews of next knowledge point is offered the user to current knowledge point.For example, for knowledge point " rectangular parallelepiped ", it comprises two lower floor knowledge points " surface area of rectangular parallelepiped ", " volume of rectangular parallelepiped ".Suppose that current knowledge point is " surface area of rectangular parallelepiped ", the user is general to the results of learning of current knowledge point, for example have ten road exercises in the assessment of this current knowledge point and the user only does right seven problems, according to the analysis that user's feedback result is carried out, find that this user might not grasp by multiplication, before next " volume of rectangular parallelepiped " offered the user, earlier with the one or more users of offering in knowledge point-a series of multiplication knowledge point of previewing of " volume of rectangular parallelepiped ".
More than enumerated several simple example how learning system has been determined for the user that according to user's results of learning the process of the knowledge point of learning subsequently describes.Those of ordinary skill in the art will be understood that, method of the present invention is not limited to above-mentioned two embodiment, in the reality, because the difference of the arranged mode of knowledge point and assessment content, also be not quite similar in the results of learning of certain knowledge point method for the definite knowledge point of learning subsequently of user according to the user.
If the current knowledge point of user learning is last knowledge point in the predetermined arranged mode, then need not to determine next knowledge point, at this moment, learning system can provide corresponding prompt information, notifies the user to learn all knowledge points in this predetermined arranged mode.Preferably, at this moment, learning system can also provide user's a total results of learning information mean value of the results of learning of each knowledge point (for example), and encouragement information etc.
More than described learning system and gathered the situation of (a plurality of knowledge points in this set have predetermined arranged mode) for the user provides single knowledge point.Preferably, if comprise a plurality of subjects knowledge points in the learning system, and a plurality of knowledge points of each subject are divided into a plurality of set according to complexity (perhaps according to current at present year grade standard), after the user finishes wherein knowledge point in certain set, can advise that the user begins the study of the higher knowledge point set of difficulty level.For example, be a plurality of set with the mathematics subject according to existing criteria of dividing in the learning system by grade, finish the knowledge point set of first grade of primary school mathematics the user after, can advise that the user begins the knowledge point set of one learns in grade school second grade mathematics.
In addition, need to prove that the value of first predetermined threshold, second predetermined threshold and the 3rd predetermined threshold can be completely or partially identical, also can have nothing in common with each other.Concrete value is decided by the particular content of the assessment content of learning system.
Has the corresponding situation that previews the knowledge point for the knowledge point, learning system can also be determined the knowledge point that previews of current knowledge point for the user, and will preview the knowledge point and offer the user, the assessment content or the knowledge content that perhaps this are previewed the knowledge point provide this user together.
Particularly, learning system has following dual mode at least for the user determines the mode that previews the knowledge point of current knowledge point: mode one: the knowledge point that previews of determining current knowledge point according to the predetermined arranged mode of knowledge point for the user; Mode two: the knowledge point that previews of determining current knowledge point for the user in the results of learning of current knowledge point according to the predetermined arranged mode and the user of knowledge point.
Following elder generation is illustrated mode one.After a user logins learning system, selected its interested knowledge point according to reciprocal process mentioned above, for example " rectangular area ", it previews the knowledge point and comprises a series of multiplication knowledge point.Learning system is with the part or all of relevant information of " rectangular area ", for example knowledge content with preview the knowledge point indication information, perhaps assess content and preview knowledge point information, perhaps knowledge content, assessment content offer the user with previewing the knowledge point indication information.If the user feels to be necessary, can browse the relevant information that previews the knowledge point earlier, to learn current knowledge point " rectangular area " better.
For another example, after the user selects " rectangular area ", find that the test question in the assessment content does not have can not do together, also see not too clear for knowledge point contents, it is necessary that study previews knowledge point " multiplication of integer ", then the predetermined arranged mode of the basis that provides according to learning system provides previews an indication information (for example, reaching the link of " multiplication of integer "), and study previews knowledge point " multiplication of integer " first.
The method that previews the knowledge point of determining current knowledge point for the user in the results of learning of current knowledge point according to the predetermined arranged mode of knowledge point and user in the mode two is identical with the method that previews the knowledge point of learning subsequently for the user knowledge point of described definite current knowledge point above, does not repeat them here.
One as the method flow shown in Fig. 5 changes example, the relevant information of each knowledge point in the learning system also comprises the version that a plurality of grade of difficulty are different, in the step S13 shown in Fig. 5, learning system can also may further comprise the steps in the predetermined arranged mode of the results of learning of current knowledge point and knowledge point is determined the step of the knowledge point of learning subsequently for the user according to the user: according to user's results of learning, determine the grade of difficulty of the relevant information of the knowledge point of learning subsequently for the user.For example, the relevant information of knowledge point comprises basic, normal, high Three Estate.If the user is fine in the results of learning of current knowledge point, for example all correct to being fed back to of assessment content, the grade of difficulty of then determining the relevant information of the knowledge point that this user learns subsequently is high.Also promptly in repeating Fig. 5 during the method flow shown in the step S11 to S13, the part that grade of difficulty is high in the relevant information of the knowledge point that will learn subsequently in step S11 offers the user.If the user is good in the results of learning of current knowledge point, for example the accuracy to the feedback of assessment content is 85%, during the grade of difficulty of then determining the relevant information of the knowledge point that this user learns subsequently is.Certainly, only illustrate here, in the reality, decide by the particular content of relevant information for the foundation of the grade of difficulty of the relevant information of the definite knowledge point of learning subsequently of user in the results of learning of current knowledge point according to the user.Certainly, the grade of difficulty of the relevant information of first knowledge point of user learning can be selected by user oneself, also can determine according to the user's who hereinafter mentions user related information by learning system, perhaps select at random, perhaps be preset as a fixedly grade of difficulty by learning system by learning system.
Preferably, learning system of the present invention can also be learnt for this user for the user determines a knowledge point set based on predetermined arranged mode and user's input information, and the knowledge point during gather this knowledge point is some or all of in described all knowledge points with predetermined arranged mode.For example, the user related information according to user's input is that different user is determined different knowledge point set.Use learning system the first time of supposing a child of ten years old.Learning system can allow the user import its basic user related information earlier, as age, sex, affiliated school and/or grade, class, the geographic area at place, father and mother's occupation, father and mother's age, educational background of father and mother or the like.Learning system can according in its basic user related information partly or entirely, for example the grade according to the user as shown in Figure 2 determines that a knowledge point gathers to be used for this user's study.
Then, learning system comes the knowledge point in this knowledge point set is adjusted to the feedback of assessment content in the relevant information of knowledge point according to the user.
For example, learning system is for example attended school grade according to user related information, for this user has established a knowledge point set { A, B, C, D, E, ..., according to the feedback of user, determine that user couple other knowledge point of the even lower level B0, the B1 that are associated with knowledge point B do not grasp to the assessment content of knowledge point B, so, knowledge point B0, B1 are joined in the knowledge point set that this user will learn.
In addition, learning system also can be determined a knowledge point set for the user in the following way: at first, provide a initial testing to inscribe to the user, receive feedback information then from the user, for example answer, answer according to the initial testing that prestores topic comes user's feedback is analyzed, and determining user's know-how, and then gathers for this user determines corresponding knowledge point.Further, if the user uses learning system for some time, write down the learning process information of the knowledge point that the user learned in the learning system, then learning system can also be in conjunction with user's learning process information, for example information such as results of learning, answer speed is gathered for the user determines corresponding knowledge point.
As mentioned above, when a plurality of knowledge point of user learning, can carry out as shown in Figure 5 method flow to the learning process of each knowledge point.Even being different users, learning system determined identical initial knowledge point set, because different users' results of learning difference, learning system is that different users determines the different knowledge points of learning subsequently, thereby for different users provides different knowledge point study tracks, to reach the purpose that realizes individualized learning.
Preferably, learning system can also be set up an archive database for each user, when the user uses learning system at every turn, and the learning process information of recording user.Learning process information comprise the knowledge point that the user selects information, selection the knowledge point track, to the feedback information of the relevant information of knowledge point, for example answer that the assessment content is done and all procedural informations of users such as the feedback speed of assessment content, results of learning, experience of study being used learning system.
Along with the user uses the time of learning system long more, this user's who writes down in the learning system learning process information is also just many more, also be that archive database is the database of a dynamic change, thereby learning system is also more and more understood this user.Learning system is according to each user's who has write down learning process information, analyze each user's weak part, thereby provide different study schemes at each user, for example provide different knowledge point tracks for different users, for same knowledge point, provide the relevant information of different difficulty etc. for different users.
Learning system can also be diagnosed the grasp situation of user to each knowledge point quickly and easily according to the user's who has write down learning process information.
For example, for knowledge point " rectangular area ", it previews the knowledge point can comprise a series of multiplication knowledge point, and its knowledge content is the introduction of rectangular area formula, and corresponding assessment content can comprise following content:
One rectangular wide be 3m, length is 7m, what square metres is may I ask rectangular area?
If user's answer that learning system receives is: rectangular area=20, if the procedural information of this each multiplication of user learning not in the learning system, then learning system can not determine which link of this user is out of joint, the multiplication that is one digit number is not grasped, still is not rectangular area formula grasped?
If this user's that basis has write down in the learning system learning process information, find that this user is fine in the results of learning of the knowledge point of " multiplication of one digit number ", then learning system determines that this user's rectangular area formula do not grasp, thereby determines the knowledge point that " rectangular area " still learnt subsequently for this user.
Because learning system has write down user's learning process information, the user can also inquire about and review at any time.The user especially for its part of makeing mistakes, can help the user to get a real idea of and grasp by its knowledge content learnt of frequent inquiry and the assessment content of doing, and makes a mistake once more with after avoiding.For its part of having grasped, often review, memory also can sharpen understanding.
Fig. 8 shows according to a specific embodiment of the present invention and is used to the user that the process flow diagram of learning process information inquiry is provided in learning system.
At first, in step S21, learning system receives the learning process information inquiry message that sends via its employed user terminal from the user.For example, can comprise its time starting point that will inquire about that the user sets in this query messages, and its content that will inquire about of setting, the knowledge content of the knowledge point of for example learning, perhaps the assessment content of the knowledge point of being done etc.Especially, this learning process query messages is used to inquire about the assessment content of described user feedback mistake, so that the user reviews, consults its weak part at any time.
Then, in step S22, learning system is according to learning process information inquiry message, and the generated query response message comprises the learning process information of described user inquiring in this query response message.
At last, in step S23, learning system sends to the employed user terminal of user with query response message, by this user terminal the learning process information that comprises in the inquiry response information is offered this user.
In addition, effectively teach for the weak part that exists at the user among the present invention, when the user reviews corresponding knowledge point, the feedback to the assessment content of this knowledge point that the user can also have been made (perhaps only being those assessment contents of feedback error) (perhaps its link) offers the user in the lump, and the information that also is about to the assessment content of user feedback mistake also is used as the part of relevant information of knowledge point to offer the user.
Preferably, in order to improve the interactivity with the user, can also receive in the learning system from the user content relevant user with relevant information certain knowledge point, and store this user content explicitly with the relevant information of this knowledge point, with another version, use when this knowledge point of study for other users and/or this user as the relevant information of this knowledge point.In addition, this user content can also be a part in the user learning procedural information that writes down previously, for example the user in the gains in depth of comprehension of certain knowledge point, user to the novel viewpoint of the knowledge content of certain knowledge point etc.
Particularly, the knowledge content of certain knowledge point that provides with respect to learning system is described, the user thinks that it has better description (perhaps another kind of a description for the knowledge content of this knowledge point, not necessarily be better than the description of the knowledge content that learning system provides), perhaps the user is provided by the assessment content of certain knowledge point of providing with respect to learning system, and it has better one group of assessment content.Here, description or the assessment content with user's knowledge content is referred to as user content.The user can be by with learning system mutual, user content is sent to learning system.The relevant information of learning system and this knowledge point is stored user content explicitly, so that use when learning this knowledge point other users and/or this user.For example, when the user used knowledge content that learning system provides or assessment content, learning system can point out the knowledge content that this user also has other or the version of assessment content to select for this user.
Because learning system can receive the user content from the user, therefore, for certain knowledge point, its relevant information can have one or more versions.Preferably, learning system also receives the evaluation information to one or more versions of the relevant information of knowledge point from a plurality of users; Then by relatively determining the version of having higher rating, to offer the user from a plurality of users' evaluation information to one or more versions.
Preferably, the experience of study relevant with certain knowledge point (part that can be used as the relevant information of this certain knowledge point is stored) that learning system can also receive from the user waits other user contents, carries out reference for this user and/or other users.
Preferably, learning system can also be according to the user to the feedback done of assessment content, determines whether the knowledge content of the knowledge point of assessment content correspondence and/or the answer of assessment content correspondence are offered this user.For example, when the assessment content with knowledge point " 100 with interior addition " offers the user, if do not receive any feedback from the user in preset time length, then the knowledge content with this knowledge point " 100 with interior addition " offers this user.After receiving the feedback that the user does the assessment content, also being the answer that the user did, the answer of this assessment content correspondence that also system can be prestored offers the user.Certainly, before knowledge content or the answer that prestores are initiatively offered the user, also can inquire the answer whether this user needs learning system knowledge content to be provided or to prestore.
More than each preferred embodiment of the present invention is described in detail,, need to prove that above-mentioned each embodiment can implement separately at this, enforcement also can mutually combine.Also be that learning system of the present invention can comprise the multinomial function of appointing in described a plurality of functions in above-mentioned a plurality of preferred embodiment, and this multinomial function can interact, and mutually promotes, and provides individualized learning for the user better.For example, after the set of certain knowledge point, learning system can be determined the difficulty level of the relevant information of knowledge point in set of next knowledge point and the set according to the results of learning of this user in this knowledge point set for the user in the intact learning system of user learning.For another example, the learning system user content that also user can be provided regards that the part of learning process information carries out record as.
Fig. 9 shows according to a specific embodiment of the present invention and is arranged in learning system provides the study generator 100 of study for the user structured flowchart.Study generator 100 comprises interactive device 101, analytical equipment 102, first definite device 103, pen recorder 104, second receiving trap 105, generating apparatus 106, second dispensing device 107, the 3rd receiving trap 108, memory storage 109, the 4th receiving trap the 110, the 3rd definite device 111.Wherein, interactive device 101 can comprise first receiving device 1011, search device 1012, first dispensing device 1013 and control device 1014.Here for brevity, figure 9 illustrates the optional sub-device in many preferred embodiments, those skilled in the art are according to the instruction of this instructions, will be understood that wherein only interactive device 101, analytical equipment 102 and first determine that device 103 is to implement the necessary device of the present invention, other sub-devices are option means.
Below in conjunction with Fig. 1, Fig. 2 and Fig. 3, the study generator 100 shown in Fig. 9 for providing the process of study, the user is elaborated.At this, the function that study generator 100 is realized is identical with the function of the learning system that the CPU software applications shown in Fig. 1 is realized, also be, study generator 100 can with shown in Fig. 1 deposit a plurality of knowledge points with and the storer of relevant information (storage medium is not limit,) constituting learning system of the present invention, this learning system can be arranged in the webserver 10 of Fig. 1.Certainly, those of ordinary skill in the art will be understood that, study generator 100 and a plurality of knowledge points of storage with and the storer of relevant information also can be arranged in the different webservers, between the different webservers, carry out alternately function with the realization learning system.
At first, interactive device 101 is determined the current knowledge point that the user will learn, and will comprise that at least the part of assessing content offers this user in the relevant information of this current knowledge point.For example, the user want to learn integer ten with interior addition, interactive device 101 is by determining " ten with interior addition " this knowledge point shown in Figure 3 with the mutual of user, and offers the user with perhaps assessing content in the assessment of this knowledge point correspondence with knowledge content.Perhaps interactive device 101 also can be according to the preference of user's setting, earlier knowledge content is offered the user, and then (for example passing through the schedule time) or passive will assess content offers the user (receiving the selection instruction that the user sends via user terminal) automatically.
Then, analytical equipment 102 is made feedback according to the answer that prestores to the assessment content of user-selected current knowledge point and is analyzed, to obtain the results of learning of this user to this current knowledge point.At this, the feedback that the user did comprises information such as the answer information of being filled out, answer speed, exercise question performance.Analytical equipment 102 is not only estimated user's results of learning according to the answer that the user filled out, the results of learning that can also estimate the user in conjunction with user's answer speed and exercise question performance.For example, very fast as user's answer speed, accuracy is 80%, thinks that then this user learning effect is for good; Answer speed as the user is very slow, and accuracy is 80%, thinks that then this user learning effect is for passing.Particularly, a kind of implementation of speed of how confirming user's answer speed is as follows: learning system is at the complexity of difference assessment content, different one or more time span threshold values are set, analytical equipment 102 compares to determine the speed of user's answer speed with one or more time span threshold values of being scheduled to after the answer speed that obtains the user.
At last, first definite device 103 at the results of learning of current knowledge point and the predetermined arranged mode of knowledge point, is the definite knowledge point of learning subsequently of user according to the user.Concrete how will being described in detail hereinafter for the user determines the knowledge point of learning subsequently.
Particularly, interactive device 101 determines that the method for the current knowledge point that the user will learn comprises following dual mode at least:
Mode one: by with user interactions, to determine the current knowledge point via the input information that user terminal sends according to this user.
Particularly, user's input information comprises following several situation at least:
Situation one: information is selected in the knowledge point that the user repeatedly imports;
Situation two: the user clicks " link of the knowledge point of learning subsequently " hereinafter mentioned, and this link is provided in the results of learning of a last knowledge point according to the user by learning system;
Situation three: user's input information also comprises the key word that the user imports, and interactive device also has the function of prompting 101 this moments, promptly when the user input part key word, shows the title of the one or more knowledge points relevant with this partial key automatically.For example, when user's input " integer ", learning system shows the relevant knowledge points of integer such as " key concept of integer ", " size of integer relatively ", " addition of integer " automatically.The knowledge point title that the user can select it to want from information, perhaps all import the title of this knowledge point, then can be by clicking for example acknowledgement key of " Enter ", the expression input finishes, interactive device 101 provides this user with comprising the part of assessing content in the relevant information of this knowledge point at least after receiving the title of the knowledge point that the user selects.
Second kind: in order to keep the continuity of user learning, after the user logins learning system, need not to carry out alternately with learning system, the study schedule when interactive device 101 was logged off according to the user who has write down last time is defined as the current knowledge point that the user will learn with corresponding knowledge point.Here corresponding knowledge point comprises last knowledge point that the user learn last time, perhaps learning system according to the user in the definite knowledge point of learning subsequently of the results of learning of this last knowledge point.The simplest a kind of implementation is as follows: the page when interactive device 101 can directly withdraw from the user last time is presented to the user again.
Particularly, at a specific embodiment of the situation in the aforesaid way one one, the process of interactive device 101 and user interactions again can be by first receiving device 1011, search device 1012, first dispensing device 1013 and control device 1014 carries out respectively.
At first, first receiving device 1011 receptions are from the input information that is used to select a certain knowledge point of user terminal.User's input action can be by for example clicking the mouse or button or choose in the menu that shows a plurality of knowledge points a certain knowledge point to finish.User's input action also can be finished by the mode of input key word, first receiving device 1011 also has the function of prompting at this moment, promptly when the user input part key word, show the title of the one or more knowledge points relevant automatically with this partial key.For example, when user's input " integer ", first receiving device 1011 shows the relevant knowledge points of integer such as " key concept of integer ", " size of integer relatively ", " addition of integer " automatically.
Secondly, search device 1012 according to the input information of user terminal and the predetermined arranged mode of knowledge point, the one or more knowledge points of lower floor of searching this a certain knowledge point correspondence are the one or more knowledge points of lower floor according to this a certain knowledge point of internal relation information searching of each knowledge point that comprises in the predetermined arranged mode.Preferably, in the relevant information of this a certain knowledge point, can comprise the indication information of the one or more knowledge points of lower floor of this a certain knowledge point, search the one or more knowledge points of lower floor that device 1012 can also be searched this a certain knowledge point according to this indication information.
Then, find down the one or more knowledge points of one deck when searching device 1012, first dispensing device 1013 sends to user terminal with the described one or more knowledge points of one deck down.
Control device 1014 control first receiving devices 1011, search device 1012, first dispensing device 1013 and repeat aforesaid operations successively and do not find the indication information that stops that the lower floor knowledge point of this a certain knowledge point or first receiving device 1011 receive indication shut-down operation that the user sends via user terminal until searching device 1012.
Mutual below with reference to Fig. 2 and Fig. 3 to carrying out between interactive device 101 and the user, how to determine that the current knowledge point process that the user will learn is illustrated.
After learning system offered the user with the page that comprises a plurality of one-levels knowledge point shown in Figure 2, the user therefrom selected " number " this knowledge point.Receive user's selection instruction when first receiving device 1011 after, search all knowledge points of lower floor that device 1012 is searched " number " this knowledge point, and send to user terminal by first dispensing device 1013.User terminal is presented to the user, shown in the drop-down menu as shown in Figure 7 after receiving all knowledge points of the lower floor of this " number " this knowledge point.Knowledge point in this drop-down menu of suppose user clicks " 100 with interior addition ".In this embodiment, when first receiving device 1011 receives user's selection instruction, because all knowledge points of lower floor of " number " this knowledge point have sent to the user, at this moment, control device 1014 controls are searched device 1012 and are not carried out lower floor's knowledge point finding step, receive Deng first receiving trap 1011 after user's the instruction of indication shut-down operation after (promptly clicking button " to the new knowledge point " as shown in Figure 7), then to be defined as knowledge point " 100 with interior addition " be the current knowledge point to interactive device 101, and the information of part correlation at least of knowledge point " 100 with interior addition " is offered the user.
One as the foregoing description changes example, and interactive device 101 also can be according to the hierarchical structure relation of knowledge point, and the information with the knowledge point offers the user layer by layer, determines the current knowledge point according to a plurality of selection information of user, hereinafter this is elaborated.
As shown in Figure 3, the user is if want study " integer hundred with interior addition ", user terminal is from " number ", " calculation ", " amount ", " usefulness ", select " number " this knowledge point in a plurality of one-levels knowledge points such as " shapes ", this selection instruction sends to first receiving device 1011 via user terminal, after first receiving device 1011 receives this selection instruction, search the predetermined arranged mode of device 1012 according to a plurality of knowledge points, search the next stage knowledge point of " number " this knowledge point, i.e. " understanding of number " as shown in Figure 3, " integer ", " decimal ", " mark ", " dividing exactly of number ", " mark and percentage ", secondary knowledge points such as " ratio and ratios "; First dispensing device 1013 sends to user terminal with these secondary knowledge points then, further selects for this user.
User terminal receives " understanding of number ", " integer ", " decimal ", " mark ", " dividing exactly of number ", " mark and percentage ", behind the secondary knowledge points such as " ratio and ratios ", present to the user, the user further therefrom selects " integer " this knowledge point then, this selection instruction sends to first receiving device 1011 via user terminal, after first receiving device 1011 receives this selection instruction, search device 1012 knowledge point structure predetermined according to the mathematics subject that prestores, search the next stage knowledge point of " integer " this knowledge point, i.e. " key concept of integer " as shown in Figure 3, " size of integer relatively ", " addition of integer ", " subtraction of integer ", " multiplication of integer ", three grades of secondary knowledge points such as knowledge point such as " divisions of integer "; First dispensing device 1013 sends to user terminal with these three grades of knowledge points then, further selects for this user.
User terminal receives " key concept of integer ", " size of integer relatively ", " addition of integer ", " subtraction of integer ", " multiplication of integer ", behind three grades of knowledge points such as " division of integer ", present to the user, the user further therefrom selects " addition of integer " this knowledge point, this selection instruction sends to first receiving device 1011 via user terminal, after first receiving device 1011 receives this selection instruction, search the predetermined arranged mode of device 1012 according to a plurality of knowledge points, search the next stage knowledge point of " addition of integer " this knowledge point, i.e. " ten with interior addition " as shown in Figure 3, " 20 with interior addition ", " 100 with interior addition ", level Four knowledge points such as " addition literal topics and application topic ".First dispensing device 1013 sends to user terminal with these level Four knowledge points then, further selects for this user.
After user terminal receives level Four knowledge points such as " ten with interior addition ", " 20 with interior addition ", " 100 with interior addition ", " addition literal topic and application topic ", present to the user, the user further therefrom selects " 100 with interior addition " this knowledge point, this selection instruction sends to first receiving device 1011 via user terminal, after first receiving device 1011 receives this instruction, search the layout structure of device 1012, search the next stage knowledge point of " 100 with interior addition " this knowledge point according to a plurality of knowledge points.Because this knowledge point do not have the next stage knowledge point, therefore, interactive device 101 determines " 100 with interior addition " to be the current knowledge point that the user will learn, and with the information of part correlation at least of this knowledge point, for example assesses content and offer the user.
User terminal is presented to the user after receiving the relevant information of " 100 with interior addition ".The user learns according to the knowledge content in the relevant information then, and the assessment content of this knowledge point practised, via user terminal its answer is sent to analytical equipment 102, analytical equipment 102 receives after the answer that the user does, answer according to this assessment content that prestores, the answer that the user did is analyzed, to obtain the results of learning of user knowledge point " 100 with interior addition ".Then, first determines the results of learning of device 103 according to the user, determines the knowledge point of learning subsequently for the user.
In addition, how interactive device 101 can also comprise following mode for the user determines the mode of current knowledge point: for example, if the learning process information of pen recorder 104 recording users, as the user is to use learning system the non-first time, correlated process information (for example last knowledge point of learning of the knowledge point that interactive device 101 can be learnt at last according to the user of record, field feedback, results of learning information etc.), determine the current knowledge point, this current knowledge point can be last knowledge point of study last time, it also can be the next knowledge point (according to predetermined arranged mode) of this last knowledge point, or this last knowledge point preview knowledge point or other relevant knowledge points, will be described in detail this hereinafter.
Determine the results of learning of device 103 to first below, determine that for the user process of the knowledge point of learning subsequently is elaborated according to the user.
Learning system is according to the selection information of user's input, for the user provides corresponding assessment content.As shown in Figure 3, finish the knowledge content of " 100 with interior addition " this knowledge point the user after, select to assess content accordingly and practise to check its results of learning with this knowledge point; Perhaps the user directly selects the assessment content of knowledge point " 100 with interior addition " to test.The hypothesis evaluation content is ten road test questions, and the user submits to analytical equipment 102 by its employed user terminal with the answer of this ten problem.Analytical equipment 102 is after the answer that receives from the user, according to the answer that prestores user's answer is analyzed, to obtain the results of learning of this user to this knowledge point, first determines that device 103 is the definite knowledge point of learning subsequently of user according to results of learning then.Need to prove, be under the situation of forms such as test question or assessment topic in the assessment content, and a kind of possible avatar of results of learning is the number percent that accounts for whole assessment contents of the exercise question that the user answers questions.
If user's results of learning are higher than first predetermined threshold, the predetermined arranged mode of first definite 103 bases of device is determined the knowledge point that learn subsequently for the user the next knowledge point of current learning knowledge point.Next knowledge point may be the knowledge point that this current knowledge point is in same level, also can put a high level than current knowledge, also can be than the low level of current knowledge point.For example, as shown in Figure 3, be " 100 with interior addition " as current knowledge point, then next knowledge point is " an addition literal topic and application topic "; Be " addition literal topic and application topic " as current knowledge point, then next knowledge point is " addition of integer "; As current knowledge point is " addition of integer ", and then next knowledge point is " ten with an interior subtraction ".
If results of learning are lower than second predetermined threshold, first determines 103 definite current knowledge points of device or the knowledge point that learns subsequently for the user knowledge point of the even lower level that is associated with the knowledge content of current knowledge point other or same level.For example, current knowledge point is " 100 with an interior addition ", because results of learning are lower than second predetermined threshold, think that then the user does not grasp current knowledge point, need relearn the current knowledge point, perhaps " 20 with interior addition ", even " ten with interior addition ", determine that then device 103 definite next knowledge points may be " hundred with interior addition ", also may be " 20 with interior addition " even " ten with interior addition " this moment first.At this, first definite device 103 can also be determined user's the knowledge point of learning subsequently in conjunction with the user's who is write down learning process information (this will can be described in detail hereinafter).Still connect the example of literary composition, suppose first determine device 103 go to consult this user of having write down in the knowledge point results of learning of " 20 with interior addition " and " ten with interior addition ", find that the user is very good in the results of learning of these two knowledge points, for example to the accuracy of feedback of assessment content all greater than 90%, think that then the user is that current knowledge point " 100 with interior addition " is succeeded in school, therefore first determines that device 103 definite knowledge points " 100 with interior addition " are the knowledge point that the user learns subsequently.If first determines that device 103 is according to the learning process information that has write down, find the user in the knowledge point results of learning of " ten with interior addition " fine, the results of learning of " 20 with interior addition " are bad and in the knowledge point, for example the accuracy of feedback to the assessment content only is 50%, therefore, first determines that device 103 definite " 20 with interior addition " is the knowledge point that the user learns subsequently.
Particularly, the value of first predetermined threshold can be 60%, if the user has answered questions ten problems, then first definite device 103 thinks that this user is fine to the results of learning of " 100 with interior addition ", the suggestion user directly enters the study of next knowledge point, i.e. " addition literal topic with application topic " as shown in Figure 3, and the link of this knowledge point is provided for the user.The value of second predetermined threshold can be 50%, if the user has answered questions four problems, then first definite device 103 thinks that this user is not fine to the results of learning of current knowledge point " 100 with interior addition ", is necessary to learn again.
Preferably, in the relevant information or predetermined arranged mode information of each knowledge point, also include the indication information that previews the knowledge point of each knowledge point correspondence, this indication information can simply be a sign that previews the knowledge point of each knowledge point correspondence.For example, the knowledge point that previews of knowledge point " 100 with interior addition " is " 20 with interior addition ", also can comprise " ten with interior addition ".First definite device 103 can determine that to the results of learning of knowledge point " 100 with interior addition " and the indication information that previews the knowledge point of " 100 with interior addition " one or more previews the knowledge point that learn subsequently for this user the knowledge point according to the user.
Still connect the example of face, if the user has only answered questions 2 problems, then first determine that device 103 thinks that this user may the front preview knowledge point " 20 with interior addition " in addition " ten with interior addition " do not grasped.First determines the indication information that preview knowledge point of device 103 according to this current knowledge point, indicates this user to relearn " 20 with interior addition " even " ten with interior addition ".Certainly, as indicated above at this, first determines that device 103 can also be in conjunction with the user's who is write down learning process information, and promptly the user determines user's the knowledge point of learning subsequently in each results of learning that preview the knowledge point.For example, if first determines that device 103 these users of discovery are fine in the results of learning that each previews the knowledge point, think that promptly this user is only bad in the results of learning of current knowledge point, therefore, will current knowledge point as this user's the knowledge point of learning subsequently.If find that the user is bad in the results of learning that certain previews the knowledge point, certain previews the knowledge point that learn subsequently for this user the knowledge point then to determine this.
For the situation that previews in the relevant information that an indication information is included in the knowledge point.Preferably, the assessment content can also combine with the indication information that previews the knowledge point, also just assess content and comprise that also each that be used to test current knowledge point previews the test question of knowledge point, make learning system according to the feedback of user to test question, can diagnose the user to each grasp situation that previews the knowledge point, where is the problem thereby diagnose out the user.For example, in hundred four fundamental rules hybrid operations with interior integer, the assessment content can comprise following five road test questions:
SZ1：12+23＝()；
SZ2：45-31＝()；
SZ3：3×15＝()；
SZ4：20÷5＝()；
SZ5：36+8×13÷4-28＝()。
If it is wrong that user's exercise question SZ5 answers, first determines that device 103 can judge that to the answer result of front four problems the user makes mistakes wherein according to the user.For example, the user has answered exercise question SZ5 and SZ4 wrong, has answered questions SZ1, SZ2, SZ3, can think that then this user " double-digit division " does not learn well, determines that device 103 these users of indication relearn or only exercise " double-digit division " this moment first.For another example, the user has answered exercise question SZ5 and SZ3 wrong, has answered questions SZ1, SZ2, SZ4, can think that then this user " double-digit multiplication " does not learn well, determines that device 103 these users of indication relearn or only exercise " double-digit multiplication " this moment first.For another example, the user has answered exercise question SZ5 wrong, answered questions SZ1, SZ2, SZ3, SZ4, can think that then the rule of this user's four fundamental rules hybrid operation is not grasped or carelessness, determined that device 103 these users of indication relearn the rule of four fundamental rules hybrid operation this moment first; Also can allow this user do the exercise of a four fundamental rules hybrid operation earlier earlier,, indicate this user to relearn the rule of four fundamental rules hybrid operation again,, then can think what this user's carelessness caused if this time the user has answered questions if this time the user still answers mistake.For another example, if the above-mentioned five road exercise questions of user are all answered wrong, think that then this user need learn whole knowledge points, determine that device 103 these users of indication relearn all knowledge points that previews this moment first, i.e. " hundred with interior addition ", " hundred with interior subtraction ", " double-digit multiplication " and " double-digit division ".
In addition, for in the relevant information of each knowledge point or also include the situation of the indication information that previews the knowledge point of each knowledge point correspondence in the predetermined arranged mode information, the situation that previews the knowledge point that its correspondence is also promptly arranged for the knowledge point, the knowledge point that the user learns subsequently also may be that first definite device 103 is according to predetermined arranged mode or according to the knowledge point that previews of being scheduled to the definite next knowledge point of arranged mode and results of learning.
Particularly, when each current knowledge point of user learning, first determines that device 103 can now preview the knowledge point and offer the user, is convenient to it and previews, for the study of current knowledge point is prepared.
Moreover first determines that device 103 can also be further combined with the results of learning of user to current knowledge point, to determine whether that the knowledge point that previews of next knowledge point is offered the user.For example, for knowledge point " rectangular parallelepiped ", it comprises two lower floor knowledge points " surface area of rectangular parallelepiped ", " volume of rectangular parallelepiped ".Suppose that current knowledge point is " surface area of rectangular parallelepiped ", the user is general to the results of learning of current knowledge point, for example have ten road exercises in the assessment of this current knowledge point and the user only does right seven problems, first determines that device 103 is according to the analysis that user's feedback result is carried out, find that this user might not grasp by multiplication, before next " volume of rectangular parallelepiped " offered the user, first determined that device 103 is earlier with the one or more users of offering in knowledge point-a series of multiplication knowledge point of previewing of " volume of rectangular parallelepiped ".
Below only lifted several simple example and determined that to first how device 103 describes according to user's the results of learning process for the definite knowledge point of learning subsequently of user.Those of ordinary skill in the art will be understood that, the invention is not restricted to above-mentioned two embodiment, in the reality, because the difference of the arranged mode of knowledge point and assessment content, first determines that device 103 also is not quite similar in the results of learning of certain knowledge point method for the definite knowledge point of learning subsequently of user according to the user.Certainly, if the current knowledge point of user learning is last knowledge point in the predetermined arranged mode, then need not to determine next knowledge point.At this moment, first determines that device 103 can provide corresponding prompt information, notifies the user to learn all knowledge points in this predetermined arranged mode.Preferably, at this moment, first determines that device 103 can also provide user's a total results of learning information mean value of the results of learning of each knowledge point (for example), and encouragement information etc.
More than described study generator 100 and gathered the situation of (a plurality of knowledge points in this set have predetermined arranged mode) for the user provides single knowledge point.Preferably, if comprise a plurality of subjects knowledge points in the learning system, and a plurality of knowledge points of each subject are divided into a plurality of set according to complexity (perhaps according to current at present year grade standard), after the user finished wherein knowledge point in certain set, first determined that device 103 can advise that the user begins the study of the higher knowledge point set of difficulty level.For example, be a plurality of set with the mathematics subject according to existing criteria of dividing in the learning system by grade, finish the knowledge point set of first grade of primary school mathematics the user after, first definite device 103 can advise that the user begins the knowledge point set of one learns in grade school second grade mathematics.
In addition, need to prove that the value of first predetermined threshold, second predetermined threshold and the 3rd predetermined threshold can be completely or partially identical, also can have nothing in common with each other.Concrete value is decided by the particular content of the assessment content of learning system.
For the knowledge point have corresponding preview the knowledge point situation, first definite device 103 can also be determined the knowledge point that previews of current knowledge point for the user, interactive device 101 previews the knowledge point with this and offers the user then, and the assessment content or the knowledge content that perhaps this are previewed the knowledge point provide this user together.
Particularly, first determines that device 103 has following dual mode at least for the user determines the mode that previews the knowledge point of current knowledge point: mode one: the knowledge point that previews of determining current knowledge point according to the predetermined arranged mode of knowledge point for the user; Mode two: the knowledge point that previews of determining current knowledge point for the user in the results of learning of current knowledge point according to the predetermined arranged mode and the user of knowledge point.
Following elder generation is illustrated mode one.For example, after a user logins learning system, selected its interested knowledge point according to the reciprocal process with interactive device 101 mentioned above, for example " rectangular area ", it previews the knowledge point and comprises a series of multiplication knowledge point.Interactive device 101 part or all of relevant informations with " rectangular area ", for example knowledge content with preview the knowledge point indication information, perhaps assess content and preview knowledge point information, perhaps knowledge content, assessment content offer the user with previewing the knowledge point indication information.If the user feels to be necessary, can browse the relevant information that previews the knowledge point earlier, to learn current knowledge point " rectangular area " better.
For another example, after the user selects " rectangular area ", find that the test question in the assessment content does not have can not do together, also see not too clear for knowledge point contents, it is necessary that study previews knowledge point " multiplication of integer ", then according to first that determine that device 103 is determined according to the arranged mode of predetermined knowledge point, interactive device 101 provides previews an indication information (for example, reaching the link of " multiplication of integer "), learns to preview knowledge point " multiplication of integer " first.
First determines that the method that previews the knowledge point of learning subsequently for the user knowledge point of device 103 is determined current knowledge point according to the predetermined arranged mode and the user of knowledge point for the user in the results of learning of current knowledge point the same above described definite current knowledge point of the method that previews the knowledge point is identical in the mode two, does not repeat them here.
One as the foregoing description changes example, the relevant information of each knowledge point in the learning system also comprises the version that a plurality of grade of difficulty are different, first determines that device 103 can also may further comprise the steps in the step of predetermined arranged mode for the definite knowledge point of learning subsequently of user of the results of learning of current knowledge point and knowledge point according to the user: according to user's results of learning, be the grade of difficulty of the relevant information of the definite knowledge point of learning subsequently of user.For example, the relevant information of knowledge point comprises basic, normal, high Three Estate.If the user is fine in the results of learning of current knowledge point, for example all correct to being fed back to of assessment content, the grade of difficulty of then determining the relevant information of the knowledge point that this user learns subsequently is high.Also promptly determine that by interactive device 101, analytical equipment 102, first device 103 repeats in above-mentioned mutual, analysis, the deterministic process, the part that grade of difficulty is high in the relevant information of the knowledge point that interactive device 101 will be learnt subsequently offers the user.If the user is good in the results of learning of current knowledge point, for example the accuracy to the feedback of assessment content is 85%, and then first determines that device 103 determines that the grade of difficulty of the relevant information of the knowledge point that these users learn subsequently is.Certainly, only illustrate here, in the reality, decide by the particular content of relevant information for the foundation of the grade of difficulty of the relevant information of the definite knowledge point of learning subsequently of user in the results of learning of current knowledge point according to the user.Certainly, the grade of difficulty of the relevant information of first knowledge point of user learning can be selected by user oneself, also can determine according to the user's who hereinafter mentions user related information by learning system, perhaps select at random, perhaps be preset as a fixedly grade of difficulty by learning system by learning system.
In addition, study generator 100 can also comprise that one second is determined device and adjusting gear (for brevity, not shown among Fig. 9), second determines that device learns for this user for the user determines a knowledge point set via the input information of interactive device 101 inputs based on predetermined arranged mode and user, and the knowledge point during gather this knowledge point is some or all of in described all knowledge points with predetermined arranged mode.For example, the user related information according to user's input is that different user is determined different knowledge point set.Use learning system the first time of supposing a child of ten years old.Interactive device 101 can allow the user import its basic user related information earlier, as age, sex, affiliated school and/or grade, class, the geographic area at place, father and mother's occupation, father and mother's age, educational background of father and mother or the like.Second determine device can according in its basic user related information partly or entirely, for example the grade according to the user as shown in Figure 2 determines that a knowledge point gathers to be used for this user's study.
Then, adjusting gear comes the knowledge point of this knowledge point set is adjusted to the feedback of assessment content in the relevant information of knowledge point according to the user.
For example, second definite device is for example attended school grade according to user related information, for this user has established a knowledge point set { A, B, C, D, E, ..., adjusting gear determines that according to the feedback of user via the assessment content of 101 couples of knowledge point B of interactive device user couple other knowledge point of the even lower level B0, the B1 that are associated with knowledge point B do not grasp, so, knowledge point B0, B1 are joined in the knowledge point set that this user will learn.
In addition, second definite device also can be determined a knowledge point set for the user in the following way: at first, provide a initial testing to inscribe to the user, receive feedback information then from the user, for example answer, answer according to the initial testing that prestores topic comes user's feedback is analyzed, and determining user's know-how, and then gathers for this user determines corresponding knowledge point.
Further, if the user uses learning system for some time, pen recorder 104 has write down the learning process information of the knowledge point that the user learned, then second determines that device can also be in conjunction with user's learning process information, for example information such as results of learning, answer speed is gathered for the user determines corresponding knowledge point.
As mentioned above, when a plurality of knowledge point of user learning, can determine that device 103 carries out above-mentioned mutual, analysis, deterministic process by interactive device 101, analytical equipment 102 and first to the learning process of each knowledge point.Even second determines that device is that different users has determined identical initial knowledge point set, because different users' results of learning difference, first determines that device 103 determines the different knowledge points of learning subsequently for different users, thereby for different users provides different knowledge point study tracks, to reach the purpose that realizes individualized learning.
Preferably, study generator 100 can also be set up an archive database for each user, when the user uses learning system at every turn, and the learning process information of pen recorder 104 recording users.Learning process information comprises the information of the knowledge point that the user selects, and the track of the knowledge point of selecting, to the feedback information of the relevant information of knowledge point, for example answer that the assessment content is done and all procedural informations of users such as the feedback speed of assessment content, results of learning, experience of study being used learning system.
Along with the user uses the time of learning system long more, this user's of pen recorder 104 records learning process information is also just many more, also is that archive database is the database of a dynamic change, thereby study generator 100 is also more and more understood this user.Study generator 100 learning process information according to each user who has write down, analyze each user's weak part, thereby provide different study schemes at each user, for example provide different knowledge point tracks for different users, for same knowledge point, provide the relevant information of different difficulty etc. for different users.
Study generator 100 can also be diagnosed the grasp situation of user to each knowledge point quickly and easily according to the user's who has write down learning process information.
For example, for knowledge point " rectangular area ", it previews the knowledge point can comprise a series of multiplication knowledge point, and its knowledge content is the introduction of rectangular area formula, and corresponding assessment content can comprise following content:
One rectangular wide be 3m, length is 7m, what square metres is may I ask rectangular area?
If user's answer that interactive device 103 receives is: rectangular area=20, if the procedural information of this each multiplication of user learning not in the study generator 100, then learn generator 100 and can not determine which link of this user is out of joint, the multiplication that is one digit number is not grasped, still is not rectangular area formula grasped?
If study generator 100 learning process information according to this user who has write down, find that this user is fine in the results of learning of the knowledge point of " multiplication of one digit number ", then learn generator 100 definite these users' rectangular area formula and do not grasp, thereby determine the knowledge point that " rectangular area " still learnt subsequently for this user.
Because pen recorder 104 has write down user's learning process information, the user can also inquire about and review at any time.The user especially for its part of makeing mistakes, can help the user to get a real idea of and grasp by its knowledge content learnt of frequent inquiry and the assessment content of doing, and makes a mistake once more with after avoiding.For its part of having grasped, often review, memory also can sharpen understanding.
Below second receiving trap 105, generating apparatus 106 and second dispensing device 107 of study in the generator 100 is elaborated for the user provides the process of learning process information inquiry.
At first, second receiving trap 105 receives the learning process information inquiry message that sends via its employed user terminal from the user.For example, can comprise its time starting point that will inquire about that the user sets in this query messages, and its content that will inquire about of setting, the knowledge content of the knowledge point of for example learning, perhaps the assessment content of the knowledge point of being done etc.
Then, generating apparatus 106 is according to learning process information inquiry message, and the generated query response message comprises the learning process information of described user inquiring in this query response message.Especially, this learning process query messages is used to inquire about the assessment content of described user feedback mistake, so that the user reviews, consults its weak part at any time.
At last, second dispensing device 107 sends to the employed user terminal of user with query response message, by this user terminal the learning process information that comprises in the inquiry response information is offered this user.
Effectively teach for the weak part that exists at the user among the present invention, when the user reviews corresponding knowledge point, the feedback to the assessment content of this knowledge point that interactive device 101 can also have been made the user (perhaps only being those assessment contents of feedback error) (perhaps its link) offers the user in the lump, and the information that also is about to the assessment content of user feedback mistake also is used as the part of relevant information of knowledge point to offer the user.
Preferably, in order to improve the interactivity with the user, the 3rd receiving trap 108 receives from the user content relevant with relevant information certain knowledge point the user, and memory storage 109 is stored this user content explicitly with the relevant information of this knowledge point, with another version, use when this knowledge point of study for other users and/or this user as the relevant information of this knowledge point.In addition, this user content can also be a part in the user learning procedural information of front pen recorder 104 record, for example the user in the gains in depth of comprehension of certain knowledge point, user to the novel viewpoint of the knowledge content of certain knowledge point etc.
Particularly, the knowledge content of certain knowledge point that provides with respect to learning system is described, the user thinks that it has better description (perhaps another kind of a description for the knowledge content of this knowledge point, not necessarily be better than the description of the knowledge content that learning system provides), perhaps the user is provided by the assessment content of certain knowledge point of providing with respect to learning system, and it has better one group of assessment content.Here, description or the assessment content with user's knowledge content is referred to as user content.The user can be by with learning system mutual, user content is sent to the 3rd receiving trap 108.Memory storage 109 is stored user content explicitly with the relevant information of this knowledge point, so that use when learning this knowledge point other users and/or this user.For example, when the user used knowledge content that learning system provides or assessment content, learning system can point out the knowledge content that this user also has other or the version of assessment content to select for this user.
Because the 3rd receiving trap 108 can receive the user content from the user, therefore, for certain knowledge point, its relevant information can have one or more versions.Preferably, the 4th receiving trap 110 also receives the evaluation information to one or more versions of the relevant information of knowledge point from a plurality of users; The 3rd determines that device 111 is by relatively determining the version of having higher rating from a plurality of users' the evaluation information to one or more versions, to offer the user then.
Preferably, the experience of study relevant with certain knowledge point (part that can be used as the relevant information of this certain knowledge point is stored) that the 3rd receiving trap 108 can also receive from the user waits other user contents, carries out reference for this user and/or other users.
Preferably, analytical equipment 102 can also be according to the user to the feedback done of assessment content, determines whether the knowledge content of the knowledge point of assessment content correspondence and/or the answer of assessment content correspondence are offered this user.For example, when the assessment content with knowledge point " 100 with interior addition " offers the user, if learning system does not receive any feedback from the user in preset time length, then analytical equipment 102 offers this user with the knowledge content of this knowledge point " 100 with interior addition ".After learning system received the feedback that the user does the assessment content, also is the answer that the user did, the answer of this assessment content correspondence that analytical equipment 102 also can prestore system offered the user.Certainly, before knowledge content or the answer that prestores were initiatively offered the user, analytical equipment 102 also can be inquired the answer whether this user needs learning system knowledge content to be provided or to prestore.
Need to prove, more than from view of function study generator 100 operating process of each height device have been described in detail, those of ordinary skill in the art will be understood that the function of first receiving device 1011, second receiving trap 105, the 3rd receiving trap 108 and the 4th receiving trap 110 can be finished by same physics receiving trap; The function of first dispensing device 1013 and second dispensing device 107 also can be finished by same physics dispensing device.
In addition, study generator 100 of the present invention can comprise and appoint a plurality of other optional sub-devices except comprising interactive device 101, analytical equipment 102 and first definite device 103.And these a plurality of sub-devices can interact, and mutually promote, and provide individualized learning for the user better.For example, after user learning finishes the set of certain knowledge point in the learning system, second determines the results of learning that device can be gathered in this knowledge point according to this user of pen recorder 104 records, determines the difficulty level of the relevant information of knowledge point in set of next knowledge point and the set for the user.For another example, pen recorder 104 user content that also user that the 3rd receiving trap 108 receives can be provided regards that the part of learning process information carries out record as.
Another one need to prove, the invention is not restricted to network topology structure shown in Figure 1, personal computer 21,22 even mobile phone 23 also can be realized the function of learning system of the present invention, be that personal computer 21,22 even mobile phone 23 can move the software application of realizing learning system function of the present invention, and regularly or aperiodically by network from the webserver 10 update software versions.Study generator 100 also can be to be arranged in personal computer 11,12 even mobile phone 23.
It is pointed out that the study that the invention is not restricted to provide basic subject aspect knowledge, also be applicable to the job training of application for the user.(High VolumeManufacturing) is example with large-scale production, can be to product yield (yield), product test (Test), in line defect monitoring (Inline Defect Monitor), process parameter monitoring (ProcessParameter Monitor), the processing procedure principle, aspect such as manufacturing equipment and product reliability (subject), and each aspect, manufacture of semiconductor for example, can be divided into different sub-subjects (sub-subject) again: photoetching (Lithography), etching (Etch), thin film deposition (ThinFilm Deposition), ion injects (Ion Implantation), chemical cleaning (WetCleaning), diffusion and annealing in process (Diffusion and Thermal Processing/LaserAnnealing), cmp (Chemical Mechanical Polishing) etc.By utilizing method and apparatus of the present invention, can for the user provide in various degree and training and exercise item targetedly, greatly improve result of training and convenience, reduce the high training cost of traditional Training Methodology widely.
In sum, by technology and the speciality thereof that effectively utilizes and bring into play computing machine and the Internet, and the knowledge point structure of meticulously layout and the learning content of selection scientifically, individualized learning method of the present invention can satisfy user's generally needs in various degree.In addition, user's participation, learning system self enrich constantly and perfect, bring entirely different learning experience to the user, will greatly improve user's learning interest.
More than specific embodiments of the invention are described.It will be appreciated that the present invention is not limited to above-mentioned specific implementations, those skilled in the art can make various distortion or modification within the scope of the appended claims.

Claims (45)

1. method that study is provided for the user by learning system, wherein, this learning system prestores the relevant information of a plurality of knowledge points and each knowledge point, described relevant information comprises knowledge content and assessment content and answer thereof, described a plurality of knowledge point has predetermined arranged mode, and this method may further comprise the steps:
A. determine the current knowledge point of user learning, and offer this user comprising the part of assessing content in the relevant information of described current knowledge point at least;
B. according to the answer that prestores described user is analyzed the feedback information of the assessment content in the relevant information of its selected current knowledge point, to obtain the results of learning of described user to this knowledge point;
C. according to the results of learning and the described predetermined arranged mode of described knowledge point, be the definite knowledge point of learning subsequently of described user.
2. method according to claim 1, wherein, determine among the described step a that the step of described current knowledge point may further comprise the steps:
A1. receive the input information that is used to select a certain knowledge point that sends via described user terminal from described user;
A2. according to described input information and described predetermined arranged mode, search the one or more knowledge points of subordinate of this a certain knowledge point correspondence;
A3. ought find the one or more knowledge points of subordinate, then the one or more knowledge points of described subordinate be sent to described user terminal;
Repeat above-mentioned steps a1-a3, do not have the subordinate knowledge point, or receive the indication information that stops of indication shut-down operation that described user sends via described user terminal, determine that then this a certain knowledge point is described current knowledge point until this a certain knowledge point.
3. method according to claim 1, wherein, further comprising the steps of:
I. write down the learning process information of the each study of described user, this learning process information comprises information and/or the described feedback information and/or the described results of learning information of the knowledge point that described input information is selected.
4. method according to claim 3, wherein, described step c is further comprising the steps of:
-according to the results of learning and the described predetermined arranged mode of described knowledge point, and in conjunction with the described described user's who has write down learning process information, be that described user determines the knowledge point of learning subsequently.
5. method according to claim 1, wherein, described step c may further comprise the steps:
C1. judge whether described user is higher than first predetermined threshold to the results of learning of described current knowledge point;
If c2. described results of learning are higher than first predetermined threshold, determine that according to described predetermined arranged mode the next knowledge point of described current knowledge point is the knowledge point that described user learns subsequently.
6. method according to claim 1, wherein, further comprising the steps of:
C2 ' if. described results of learning are lower than second predetermined threshold, determine that described current knowledge point or and knowledge point that difficulty lower or identical connection with described current knowledge spot correlation are the knowledge point that described user learns subsequently.
7. method according to claim 1, wherein, further comprising the steps of:
-determine the knowledge point that previews of described current knowledge point;
-the described knowledge point that previews is offered described user.
8. method according to claim 7, wherein, described definite described step that previews the knowledge point may further comprise the steps:
-determine the knowledge point that previews of described current knowledge point according to the predetermined arranged mode information of described a plurality of knowledge points.
9. method according to claim 7, wherein, describedly determine that the described step that previews the knowledge point is further comprising the steps of:
-according to described user to the feedback information of the assessment content of described current knowledge point analyze the described user that obtains the results of learning of described current knowledge point are determined the described knowledge point that previews.
10. method according to claim 9, wherein, the assessment content of described current knowledge point comprises being used to test and comprises described current knowledge point and the described one or more test questions that preview a plurality of knowledge points of knowledge point.
11. method according to claim 1, wherein, described knowledge point of learning subsequently comprises the knowledge point that previews of current knowledge point, and is further comprising the steps of:
-based on predetermined arranged mode information and described user the feedback information of the assessment content of described current knowledge point is determined the described knowledge point that previews according to described a plurality of knowledge points.
12. method according to claim 1 is characterized in that, described knowledge point of learning subsequently is included in the knowledge point that previews of the knowledge point of learning after this knowledge point of learning subsequently, and is further comprising the steps of:
-based on predetermined arranged mode information and described user the feedback information of the assessment content of described current knowledge point is determined the described knowledge point that previews according to described a plurality of knowledge points.
13. method according to claim 1 is wherein, further comprising the steps of:
-determine a knowledge point set that is used to learn based on described predetermined arranged mode and user's input information for the user;
-according to the feedback of described user, adjust the one or more knowledge points in the set of described knowledge point to the assessment content in the relevant information of knowledge point in the set of described knowledge point.
14. method according to claim 1 is wherein, further comprising the steps of:
-receive from the user content relevant described user with the relevant information knowledge point;
-store described user content explicitly with the relevant information of described knowledge point, with another version, when learning described knowledge point, use for described user and/or other users as described relevant information.
15. method according to claim 13, wherein, the relevant information of described knowledge point comprises one or more versions, and this method is further comprising the steps of:
-receive from the evaluation information of a plurality of users one or more versions of the relevant information of knowledge point;
-by relatively determining the version of having higher rating, to offer the user from a plurality of users' evaluation information to described one or more versions.
16. method according to claim 1, wherein, described step b is further comprising the steps of:
-according to described user's feedback, determine whether the knowledge content of the knowledge point of described assessment content correspondence and/or the answer of described assessment content correspondence are offered described user to described assessment content.
17. method according to claim 3 is wherein, further comprising the steps of:
A. receive the learning process information inquiry message that sends via described user terminal from the user;
B. according to described learning process information inquiry message, the generated query response message comprises the learning process information of described user inquiring in this query response message;
C. described query response message is sent to described user terminal, the learning process information that comprises in the described inquiry response information is offered described user by described user terminal.
18. method according to claim 1 wherein, comprises the part of assessing content at least and comprises that also this user who has write down is in the past to assessing the feedback information that content was done in the described relevant information.
19. method according to claim 1, wherein, knowledge content in the relevant information of described each knowledge point and/or assessment content are arranged according to its knowledge difficulty and/or interdependence.
20. method according to claim 1, described predetermined arranged mode comprise in tree structure, tower structure, star topology, chain structure, ring texture or the reticulate texture each or wherein appoint multinomial combination, wherein comprise the indication information of described each knowledge point and relative knowledge point.
21. method according to claim 1, wherein, the knowledge content of described knowledge point comprises the information of describing this knowledge point notion and/or describes the information of this knowledge point utilization.
22. method according to claim 1, wherein, described assessment content comprises one or more exercises and/or one or more test question and/or one or more comprehensive assessment topic.
23. study generator that study is provided for the user in learning system, wherein, this learning system prestore a plurality of knowledge points and with the relevant information of each knowledge point, described relevant information comprises knowledge content and assessment content and answer thereof, described a plurality of knowledge point has predetermined arranged mode, and this study generator comprises:
Interactive device is used for determining the current knowledge point of user learning, and offers this user with comprising the part of assessing content in the relevant information of described current knowledge point at least;
Analytical equipment is used for according to the answer that prestores described user being analyzed the feedback information of the assessment content of the relevant information of its selected knowledge point, to obtain the results of learning of described user to this knowledge point;
First determines device, is used for results of learning and described predetermined arranged mode according to described knowledge point, determines the knowledge point of learning subsequently for described user.
24. study generator according to claim 23, wherein, described interactive device comprises:
First receiving device is used to receive the input information that is used to select a certain knowledge point that sends via described user terminal from described user;
Search device, be used for searching the one or more knowledge points of next stage of this a certain knowledge point correspondence according to described input information and described predetermined arranged mode;
First dispensing device is used for the one or more knowledge points of the next stage that is found are sent to described user terminal;
Control device, be used to control described first receiving device, search device and dispensing device repeats aforesaid operations, until determining that described a certain knowledge point does not have subordinate knowledge point or described first receiving device to receive the indication information that stops of indication shut-down operation that described user sends via described user terminal, determines that then this a certain knowledge point is described current knowledge point.
25. study generator according to claim 23 wherein, also comprises:
Pen recorder is used to write down the learning process information of the each study of described user, and this learning process information comprises information and/or the described feedback information and/or the described results of learning information of the knowledge point that described input information is selected.
26. study generator according to claim 25, wherein, described first determines that device also is used for:
-according to the results of learning and the described predetermined arranged mode of described knowledge point, and the described user's who has write down in conjunction with described pen recorder learning process information is that described user determines the knowledge point of learning subsequently.
27. study generator according to claim 23, wherein, described first determines that device also is used for:
Judge whether described user is higher than first predetermined threshold to the results of learning of current knowledge point;
If described results of learning are higher than first predetermined threshold, be the knowledge point that described user learns subsequently according to the next knowledge point of knowledge point described in the described predetermined arranged mode.
28. study generator according to claim 23, wherein, described first determines that device also is used for:
If-described results of learning are lower than second predetermined threshold, determine that described current knowledge point or and knowledge point that difficulty lower or identical connection with described current knowledge spot correlation are the knowledge point that described user learns subsequently.
29. study generator according to claim 23, wherein, described first determines that device also is used for:
-determine the knowledge point that previews of described current knowledge point;
Described interactive device also is used for
-the described knowledge point that previews is offered described user.
30. study generator according to claim 29, wherein, described first determines that device also is used for:
-determine the knowledge point that previews of described current knowledge point according to the predetermined arranged mode of described a plurality of knowledge points.
31. study generator according to claim 29, wherein, described first determines that device also is used for:
-according to described user to the feedback information of the assessment content of described current knowledge point analyze the described user that obtains the results of learning of described current knowledge point are determined the described knowledge point that previews.
32. study generator according to claim 31, wherein, the assessment content of described current knowledge point comprises being used to test and comprises described current knowledge point and the described one or more test questions that preview a plurality of knowledge points of knowledge point.
33. study generator according to claim 23, wherein, described knowledge point of learning subsequently comprises the knowledge point that previews of current knowledge point, and described first determines that device also is used for:
-according to the predetermined arranged mode and the described user of described a plurality of knowledge points the feedback information of the assessment content of described current knowledge point is determined the described knowledge point that previews.
34. study generator according to claim 23 is characterized in that, described knowledge point of learning subsequently is included in the knowledge point that previews of the knowledge point of learning after this knowledge point of learning subsequently, and described first determines that device also is used for:
-according to the predetermined arranged mode and the described user of described a plurality of knowledge points the feedback information of the assessment content of described current knowledge point is determined the described knowledge point that previews.
35. study generator according to claim 23 wherein, also comprises:
Second determines device, is used for determining a knowledge point set that is used to learn based on described predetermined arranged mode and user's input information for the user;
Adjusting gear is used for the feedback to the assessment content in the relevant information of set knowledge point, described knowledge point according to described user, adjusts the one or more knowledge points in the set of described knowledge point.
36. study generator according to claim 23 wherein, also comprises:
The 3rd receiving trap is used to receive from the user content relevant with the relevant information knowledge point described user;
Memory storage is used for storing described user content explicitly with the relevant information of described knowledge point, with another version as described relevant information, uses when learning described knowledge point for described user and/or other users.
37. study generator according to claim 23, wherein, the relevant information of described knowledge point comprises one or more versions, also comprises:
The 4th receiving trap is used to receive the evaluation information to one or more versions of the relevant information of knowledge point from a plurality of users;
The 3rd determines device, is used for by relatively determining the version of having higher rating from a plurality of users' the evaluation information to described one or more versions, to offer the user.
38. study generator according to claim 23, wherein, described analytical equipment also is used for:
-according to described user's feedback, determine whether the knowledge content of the knowledge point of described assessment content correspondence and/or the answer of described assessment content correspondence are offered described user to described assessment content.
39. study generator according to claim 25 wherein, also comprises:
Second receiving trap is used to receive the learning process information inquiry message that sends via described user terminal from the user;
Generating apparatus is used for according to described learning process information inquiry message, and the generated query response message comprises the learning process information of described user inquiring in this query response message;
Second dispensing device is used for described query response message is sent to described user terminal, by described user terminal the learning process information that comprises in the described inquiry response information is offered described user.
40. study generator according to claim 23 wherein, comprises the part of assessing content at least and comprises that also this user who has write down is in the past to assessing the feedback information that content was done in the described relevant information.
41. study generator according to claim 23, wherein, knowledge content in the relevant information of described each knowledge point and/or assessment content are arranged according to its knowledge difficulty and/or interdependence.
42. study generator according to claim 23, described predetermined arranged mode comprises in tree structure, tower structure, star topology, chain structure, ring texture or the reticulate texture each or wherein appoints multinomial combination, wherein comprises the indication information of described each knowledge point and relative knowledge point.
43. study generator according to claim 23 is characterized in that, the knowledge content of described knowledge point comprises the information of describing this knowledge point notion and/or describes the information of this knowledge point utilization.
44. study generator according to claim 23, wherein, described assessment content comprises one or more exercises and/or one or more test question and/or one or more comprehensive assessment topic.
45. one or more computer-readable mediums, wherein store a plurality of knowledge points and relevant information thereof, and a plurality of instructions, wherein, described a plurality of knowledge point has predetermined arranged mode, described relevant information comprises knowledge content and assessment content and answer thereof, when one or more processors move described a plurality of instruction, carries out following the operation:
-by with user interactions, determine the current knowledge point of user learning with the input information that sends via user terminal according to this user, and offer this user comprising the part of assessing content in the relevant information of described current knowledge point at least;
-according to the answer that prestores described user is analyzed the feedback information of the assessment content in the relevant information of its selected current knowledge point, to obtain the results of learning of described user this knowledge point;
-according to the results of learning and the described predetermined arranged mode of described knowledge point, be the definite knowledge point of learning subsequently of described user.
CNA2008100375543A 2008-05-15 2008-05-15 Method and device thereof for providing individualized learning for user by using computer system Pending CN101582101A (en)

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