CN107516283A - The matching system and method for learned lesson - Google Patents
The matching system and method for learned lesson Download PDFInfo
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Abstract
The present invention relates to the matching system of learned lesson, the matching system of learned lesson of the invention is characterised by, including：Data storage cell, for storing the data of student；Course taxon, classified and stored respectively by learning areas and study stage for multiple learned lessons to having set；Learn matching unit, for receive student from described information memory cell information after, pair learning areas corresponding with student and study stage are analyzed, and fit through at least one learned lesson in the learned lesson that the course taxon is classified；Evaluation result computing unit, for receive student perform by it is described study matching unit matching learned lesson after result and evaluated, to generate or change evaluating data, and the evaluating data is input to the data storage cell.The present invention, which provides, can improve tendency and the interest-degree of each student to improve the matching system and method for the learned lesson of creativeness.
Description
Technical field
The present invention relates to a kind of matching system of learned lesson and method, and be related to one kind can to student match and learn
The learned lesson that is consistent of tendency and interest of member is so as to guiding the matching system of the learned lesson of rebuilding and method.
Background technology
The form of the learning evaluation carried out in the past is as follows：Given lessons learning Content in school, and by the learning Content
Learning outcome carries out quantitative assessment by forms such as fractions.But the achievement represented by fractional form can not break away from examination
Constraint, therefore with reality learning ability may have any different.
Further, since not considering the interest of student, tendency and achievement degree and carrying out machine-made study, there is student
Learning interest the problem of being gradually reduced.In addition, because of the conventional education being defined by quantitative assessment, there is student excessively to concentrate fixed
Measure result, damage student's creativeness the problem of.
The content of the invention
It is therefore an object of the present invention to solve the problems, such as above-mentioned conventional, there is provided a kind of matching system of learned lesson and side
Method, the matching system and method for the learned lesson can improve each student tendency and interest-degree and improve creativeness.
Above-mentioned purpose realized by the matching system of the learned lesson of the present invention, the matching system of learned lesson of the invention
Unite and be characterised by, including：Data storage cell, for storing the data of student；Course taxon, for having set
Multiple learned lessons are classified and stored respectively by learning areas and study stage；Learn matching unit, for from the letter
After ceasing the information that memory cell receives student, pair learning areas corresponding with student and study stage are analyzed, and match logical
At least one learned lesson crossed in the learned lesson of the course taxon classification；Evaluation result computing unit, use
In receive student perform by it is described study matching unit match learned lesson after result and evaluated, with generate or
Evaluating data is changed, and the evaluating data is input in the data storage cell.
According to the present invention, there is provided the matching system and method for a kind of learned lesson, the matching system of the learned lesson and side
Method can be properly matched the learned lesson being consistent with the tendency of student and interest, and efficiency is improved while student's interest so as to excite.
In addition, the learning outcome by evaluating student, and as student for when visiting again student, with field interested or
Coupling learning course based at least one in the current learning outcome of person, so as to more be properly matched learned lesson.
In addition, have the following advantages：By in science, technology, engineering, art and art of mathematics, from meeting student
The field of interest gradually expands learning areas to another learning areas, and experience is obtained in a variety of learning areas so as to improve
Inclusive education effect.
Brief description of the drawings
Fig. 1 is the concept map of the matching system of the learned lesson of one embodiment of the invention.
Embodiment
Below, referring to the drawings, the matching system of the learned lesson of one embodiment of the invention is described in detail.
The matching system of the learned lesson of one embodiment of the invention be related to it is a kind of it can be considered that interest-degree and learning outcome,
Most suitable education content is provided to student, so as to the system for increasing study achievement degree and visiting again number.
According to the matching system of the learned lesson of embodiment can all hardware, or part be hardware, be partly software.
Such as the data of particular form and content to be received and the device that sends and its related soft by electronic communication mode
The each unit (unit) that part can be collectively referred to as the matching system of learned lesson and the system is included.
Term " unit " in this specification means hardware and by the hardware come the combination of software that drives.For example, this
The hardware at place can be the data processing equipment for including CPU or other processors (processor).In addition, driven by hardware
Dynamic software can refer to executory process, object (object), perform file (executable), execution thread (thread
Of execution) and program (program) etc..
In addition, each unit that the matching system of the learned lesson of embodiments described below is included, being not meant as must
The independent structural element that must physically distinguish.
In addition, each structural element for forming the matching system of the learned lesson of the present embodiment can be such as smart mobile phone
(smartphone) mobile communication terminal, PC (personal computer), notebook (notebook) computer,
Electronic notebook (PDA, personal digital assistant), tablet personal computer (tablet), for Internet protocol electricity
Depending on the set top box (set-top box) or other any meters of machine (IPTV, Internet Protocol Television) etc.
Calculate equipment.
The communication means of each structural element included in the matching system of learned lesson may include to make object and right
As all communication means of networking, it is not limited to wire communication, radio communication, 3G, 4G or the method beyond it.For example,
The matching system of learned lesson may be structured to by the more than one communication means in following communication means and other
The system that device is communicated, but be not limited thereto.The communication means is WLAN (LAN, Local Area
Network), Metropolitan Area Network (MAN) (MAN, MetropolitanArea Network), global mobile network system (GSM, Global
System for Mobile Network), enhanced data rates for gsm evolution technology (EDGE, Enhanced Data GSM
Environment), high speed downlink packet access technology (HSDPA, High Speed Downlink Packet Access), width
Band CDMA (W-CDMA, Wideband Code Division Multiple Access), CDMA (CDMA, Code
Division Multiple Access), time division multiple acess access technology (TDMA, Time Division Multiple
Access), bluetooth (Bluetooth), Zigbee, Wi-Fi, network telephone (VoIP, Voice over Internet
Protocol), Long Term Evolution upgrade version (LTE Advanced), IEEE802,16m, advanced wireless MAN
(WirelessMAN-Advanced), HSPA+, 3GPP LTE (Long Term Evolution), the mobile microwave access whole world are mutual
Operate (Mobile WiMAX, IEEE 802,16e), UMB (formerly EV-DO Rev, C), Flash-OFDM, iBurst
And MBWA (IEEE 802,20) system, high performance city wireless networking (HIPERMAN), beam division multiple access access technology
(Beam-Division Multiple Access, BDMA), inserting of microwave Worldwide Interoperability (Wi-MAX, World
Interoperability for Microwave Access) and using ultrasonic wave communication.
In one embodiment, the matching system of learned lesson is by the webserver (web server) or the webserver
The form of group realizes, makes student so as to provide and runs study class involved in the present invention by accessing the server
The webpage of journey matching process.Student also can be by using web browser (web browser) or the application program of other forms
(application) mode for accessing learning evaluation webpage performs the matching process of learned lesson.
Below, based on content as described above, reference picture 1 is carried out to the matching system of the learned lesson of the present embodiment
Explanation.The matching system of the learned lesson of the present embodiment includes new student's analytic unit 110, data storage cell 120, course point
Class unit 130, study matching unit 140 and evaluation result computing unit 150.
New student's analytic unit 110 is used to receive essential information from new student, and student is analyzed.It is so-called new
Student means new student, the information stored in data storage cell 120 described later.
In addition, new student's analytic unit 110 may be configured as the information for receiving the new student inputted and to new student
The terminal analyzed of information.The new information of trainee that new student's analytic unit 110 is received is not limited, it may include name,
Contact method, age, sex and the answer putd question to evaluation.After the information that new student is inputted is delivered in the form of following
The data storage cell 120 stated.
| Name | Contact method | Age | Sex | Answer 1 | Answer 2 | Answer 3 | Answer 4 |
| John | 555-5555 | 4 | Man | 1 | 2 | 3 | 1 |
Especially, new student's analytic unit 110 is by evaluating with enquirement come the interest-degree to new student on each learning areas
Analyzed.Evaluation can be formed not only with enquirement by one group, can be also made up of multigroup, so as in view of student's
Age, sex etc. optionally determine.Putd question to for example, problems with can turn into evaluation.
New student's analytic unit 110 with enquirement by being analyzed to determine the interest-degree of new student, interest-degree evaluation
It is stored in after being evaluated by " science " field, " technology " field, " engineering " field, " art " field and " mathematics " field aftermentioned
Data storage cell 120 in.Interest-degree of the student evaluated in this way on each learning areas, which will be used as, to be used to match
The information of new student's learned lesson uses.
The data storage cell 120 stores student's essential information for being inputted from above-mentioned new student's analytic unit 110 and again
Access the evaluating data of student.Storage information in the form of following of data storage cell 120 (following table is one of new information of trainee).
Multiple learned lessons are categorized as a plurality of study in multiple learning areas by the course taxon 130
One in stage.
The learning areas for the benchmark classified as the course taxon 130 by the present embodiment are by " science
(Science) " field, " technology (Technology) " field, " engineering (Engineering) " field, " artistic (Art) " field
And " mathematics (Mathematics) " field is formed, each learned lesson is classified as a neck in above-mentioned five learning areas
Domain.
In addition, the study stage for the benchmark classified as the course taxon 130 by the present embodiment is by " the first stage
(observational learning stage) ", " second stage (make calligraphy learning stage) " and " phase III (design learning stage) " are formed, respectively
Learned lesson is classified as a stage in the above three study stage.
This is described as follows more understandablely：Course taxon 130 learns by five learning areas and three
Learned lesson is arranged on 2 × 2 matrixes that stage is formed as row and column.In addition, learned lesson is possible without one to one
On all items for matching 2 × 2 matrixes, and it is also possible to dead zone be present on matrix.
In addition, course taxon 130 can not also arrange course on 2 × 2 matrixes, but except learning areas and study stage
Outside, by age section can also be classified by each learned lesson, so as in final classification to 3 × 3 matrixes.
Although unrestricted, classification basal age section by PG (four years old~five years old), G13 (six years old~eight years old), G46 (it is long year
~11 years old) form, the age bracket that learned lesson can be categorized as in age bracket.
At the same time, course taxon 130 is analyzed the degree of association of each learned lesson and each learning areas.That is,
By analysis, even if some learned lesson has the higher degree of association with engineering field, but other learning areas are also possible to
Produce results of learning.Therefore degree, the i.e. degree of association that a learned lesson may have an impact to each learning areas is evaluated.
Such as in upper table, although being science neck with the degree of association highest learning areas of " making gyro " learned lesson
Domain, but exploitation on other learning areas is realized by " making gyro " learned lesson simultaneously, thus the learned lesson and its
His learning areas also relevant property, so can be analyzed as follows by course taxon 130.
It is described study matching unit 140 be for based on the information being stored in data storage cell 120 to student
The unit of suitable learned lesson is matched or suggests, its coupling learning course based on the information related to student.
That is, described study matching unit 140 is the unit for matching suitable learned lesson to student, and it is with student's
Suitable learned lesson is matched to new student based on interest-degree.
That is, the interest-degree information that matching unit 140 receives student from data storage cell 120 is learnt, and to new student
Fit through at least one course in the learned lesson of the classification of course taxon 130.
The interest-degree of student is quantized by each learning areas to evaluate, and student's matching is being belonged to glaier
A course in the learned lesson of the learning areas of interesting degree.
Now, when student is new student, the learned lesson of first stage is belonged to student's matching.For example, when data are deposited
When the interest-degree for the new student that storage unit 120 provides is judged as " engineering " field, because the study stage of new student is " first
Stage ", therefore " experience toy " study class in the learned lesson of the classification of course taxon 130 is fitted through to new student
Journey.
In addition, when student is to visit again student, considers evaluating data, match in addition to the learning areas of executed
Practise course.
That is, visiting again student has had the experience received an education before, and maintains what is obtained by the result after study
Evaluating data, therefore suitable learned lesson is matched based on the data different from new student, and matched by this
Journey excludes the content received an education, and allows it to receive the education in insufficient field, is uniformly taught on all spectra so as to realize
Educate, therefore efficient study can be realized.
Moreover, in another embodiment of the invention, learn matching unit 140 and determine student's interest-degree highest
Habit field and the high learning areas of interest-degree second, and interest is met to student's matching and the degree of association order of each learning areas
The learned lesson of degree order.
Such as in upper table, (first is suitable for the interest-degree highest that new student's (Wilson's) is be evaluated as in scientific domain
Sequence), the interest-degree second in technical field is high (the second order), therefore new student's matching is led in the degree of association with science
Belong to learned lesson, i.e. " making gyro " learned lesson of first stage in the high learned lesson of domain, technical field order.Exist
In this embodiment, do not consider a learning areas in coupling learning course but consider the interest on a variety of learning areas
Degree, so as to further lift the study of student achievement degree.
In addition, in course taxon 130 except learning areas and further increase age bracket conduct in addition to the study stage
In the case that learned lesson is formed 3 × 3 matrixes by benchmark of classifying, it is also contemplated that the age information of new student and coupling learning
Course.
The evaluation result computing unit 150 is used for the result after being accepted the education to student and is analyzed and generate New Appraisement
The interest-degree of each student is readjusted while data or modification current evaluating data.
After student pays attention to the class the educational class by learning the matching of matching unit 140, its result is passed to evaluation result
Computing unit 150, evaluation result computing unit 150 transmit evaluating data to data storage cell 120 after analyzing it.
At the same time, because the interest-degree of the student after learned lesson is performed is possible to change, thus it is emerging readjusting
The interesting backward data storage cell 120 of degree transmits.
Below, the matching process of the learned lesson of the matching system of the learned lesson using the present embodiment is illustrated.
The matching process of the learned lesson of the present embodiment includes：The input step of new information of trainee, interest-degree analytical procedure,
Classifying step, matching step and evaluation procedure.
The step of new information of trainee that the input step of the new information of trainee is inputted by reception.The basis letter of new student
Breath is input into new student's analytic unit 110, and the Back ground Information of the new student inputted is not limited, it may include name, connection
It is mode, age, sex and the answer putd question to evaluation.The information that new student is inputted is passed to data storage cell
120, data storage cell 120 stores this information.
In addition, evaluation is made up of multigroup with enquirement, in this step, can be selected according to age of new student, sex
And provide it is multigroup in an evaluation enquirement group.New student inputs the answer to selected evaluation with enquirement group, thus finally
Terminate this step.
After the interest-degree analytical procedure is analyzes the Back ground Information inputted, the interest-degree of new student is carried out
The step of analysis.
After analyzing this interest-degree, used in matching step described later during coupling learning course.
In this step, the evaluation inputted in the input step of new information of trainee is divided with the answering model putd question to
Analyse and interest-degree is analyzed.In this step, will be by scientific domain, technical field, engineering field, world of art and mathematics
Field quantizes to calculate totally come the interest-degree on five learning areas formed.In this step, when the new student's interest of completion
After the analysis of degree, include the Back ground Information of new student inputted in the input step of new information of trainee and the data of interest-degree
Automatically it is stored in data storage cell 120.
The classifying step is the step of classification according to the benchmark set to multiple learned lessons, so as to aftermentioned
Matching step in can be suitably used.
In this step, course taxon 130 to the multiple learned lessons stored by five learning areas and three
The study stage is classified.It is further described as follows：In this step, as being classified by course taxon 130
The learning areas of benchmark are by " science (Science) " field, " technology (Technology) " field, " engineering
(Engineering) " field, " artistic (Art) " field and " mathematics (Mathematics) " field are formed, each learned lesson
A field being classified as in above-mentioned five learning areas.
In addition, the study stage for the benchmark classified as the course taxon 130 by the present embodiment is by " the first stage
(observational learning stage) ", " second stage (make calligraphy learning stage) " and " phase III (design learning stage) " are formed, respectively
Learned lesson is classified as a stage in the above three study stage.
Therefore, course taxon 130 by five learning areas and three study stages as row and column come form 2
Learned lesson is arranged on × 2 matrixes.In addition, learned lesson is possible without matching all items of 2 × 2 matrixes one to one
On, it is also possible to dead zone be present on matrix.
In addition, course taxon 130 can not also arrange course on 2 × 2 matrixes, but except learning areas and study rank
Beyond section, age-based section is classified to each learned lesson, so as to finally be classified on 3 × 3 matrixes.
That is, although unrestricted, classification basal age section can be by PG (4 years old~5 years old), G13 (6 years old~8 years old), G46 (9 years old
~11 years old) form, the age bracket that learned lesson can be categorized as in age bracket.
At the same time, in this step, course taxon 130 is entered to the degree of association of each learned lesson and each learning areas
Row analysis.I.e., by analysis, even if some learned lesson has the higher degree of association with engineering field, but in other study necks
It is also possible to produce results of learning in domain.Therefore, evaluate a learned lesson each learning areas may be had an impact degree,
That is the degree of association.
Such as in upper table, although being science neck with the degree of association highest learning areas of " making gyro " learned lesson
Domain, but exploitation on other learning areas is realized by " making gyro " learned lesson simultaneously, thus with other learning areas
Relevant property, therefore following analysis can be carried out by course taxon 130.
In the matching step, study matching unit 140 matches suitable learned lesson to student.
It is as follows that the present invention is described in more detail：Learn matching unit 140 and receive student's from data storage cell 120
Interest-degree information.Learning areas consistent with interest-degree is selected in the learned lesson classified by course taxon 130
Practise course.For new student, due to the experience that it did not learn in the past, therefore learn the stage equivalent to " first stage ", selection
The learned lesson consistent with its.
In addition, it is possible to that learned lesson is not present on the learning areas field consistent with the study stage, now, to student
Match the learned lesson in next study stage.
In the process, the course learnt first is matched according to the interest-degree of new student and tendency, thus student with
The concentration degree of height learns, and after completing to learn, also for the possibility that is visited again using other learned lessons compared with
It is high.
Moreover, in another embodiment of the invention, the interest-degree highest that matching unit 140 determines student is learnt
Learning areas and the high learning areas of interest-degree second, and the degree of association of student's matching and each learning areas is sequentially met emerging
The learned lesson of interesting degree order.
Such as in upper table, student's (Wilson's) be evaluated as in scientific domain have highest interest-degree (first is suitable
Sequence), there is the second high interest-degree (the second order) in technical field, therefore the student is matched in the degree of association with science
The learned lesson for belonging to the first stage, i.e. " making gyro " study class in the high learned lesson of field, the order of technical field
Journey.I.e. in such an embodiment, in coupling learning course, a learning areas are not considered, but consider a variety of learning areas
On interest-degree, so as to further lifted the study of student achievement degree.
In the evaluation procedure, evaluation result computing unit 150 performs the result after coupling learning course with student
Based on generation or modification evaluating data, and change interest-degree again.
In the present embodiment, evaluating data is formed in the form of the achievement stage for inputting each learning areas.That is, number is evaluated
Study achievement rank on each field of new settings or reset in science, technology, engineering, art and mathematics according to this
The form of section is formed.
In this step, evaluation result computing unit 150 receive student perform learned lesson after result and to the result
Analyzed, when obtaining the achievement of more than predeterminated level, increase the study achievement rank on the learning areas of corresponding learned lesson
Section.On the contrary, when result is below predeterminated level, the study on the learning areas of corresponding learned lesson is kept to achieve the stage.
In addition, in this step, the interest-degree for performing the student changed after each learned lesson is reappraised, so as to
Used in coupling learning course after visiting again.
Below, the embodiment of the matching process of learned lesson is divided into new student and the situation that visits again student is said
It is bright.
I, first embodiment (educational object is the situation of new student)
1st, the input step of new information of trainee
New student's analytic unit 110 receives the information of the new student inputted, and the input information received is as follows.
| Name | Contact method | Age | Sex | Answer 1 | Answer 2 | Answer 3 | Answer 4 |
| Amy | 123-4567 | 5 | Female | 2 | 5 | 1 | 1 |
2nd, interest-degree analytical procedure
New student's analytic unit 110 with the answer putd question to being divided evaluating in the new information of trainee inputted
Analysis, and field interested in new student is analyzed.After the analysis to field interested is completed, in data storage list
Following information is stored in member 120.
3rd, classifying step
Course taxon 130 is divided the multiple learned lessons prestored respectively by learning areas and study stage
Class.
In addition, calculate the degree of association of each learned lesson and each learning areas.
4th, matching step
Study matching unit 140 matches new based on the information for the new student being stored in data storage cell 120
The learned lesson that member will pay attention to the class.Because the interest-degree highest learning areas of new student are " technology " field, it is thus determined that
It is classified as the learned lesson in " technology " field in learning areas.
Because new student does not have learning experience, therefore it is classified as of " first stage " to new student's coupling learning stage
Practise course.But in the present embodiment, due in the absence of the learned lesson for belonging to " technology " field and " first stage ", therefore to learning
Member's matching belongs to " using glue, the scissors and chi " learned lesson in next study stage i.e. " second stage ".Student will perform
Matched " using glue, scissors and chi " learned lesson.
5th, evaluation procedure
Evaluation result computing unit receives the result after performing " using glue, scissors and chi " learned lesson.When performing knot
When fruit is more than predetermined extent, increases the achievement stage in " technology " field and generate following evaluating data.
| Learning areas | Scientific domain | Technical field | Engineering field | World of art | Art of mathematics |
| The achievement stage | 0 | 0.8 | 0 | 0 | 0 |
When implementing result is not up to predetermined extent, the achievement stage in " technology " field is remained 0, it is as follows so as to generate
Evaluating data.
| Learning areas | Scientific domain | Technical field | Engineering field | World of art | Art of mathematics |
| The achievement stage | 0 | 0 | 0 | 0 | 0 |
The evaluating data generated is ultimately stored in data storage cell 120, and is suitably made when student visits again
With.
In addition, in this evaluation procedure, after performing " using glue, scissors and chi " learned lesson, the interest-degree of student has
It may change, therefore it is revalued.The evaluating data and modified interest-degree generated in this step is with following
Form stores.
II, second embodiment (educational object is the situation for visiting again student)
1st, the input step of new information of trainee
When educational object is to visit again student, this step is not performed.
2nd, interest-degree analytical procedure
When educational object is to visit again student, this step is not performed.
3rd, classifying step
Course taxon 130 is divided the multiple learned lessons prestored by learning areas and study stage respectively
Class, this is identical with foregoing teachings, therefore the repetitive description thereof will be omitted.
4th, matching step
Study matching unit 140 is matched based on the information for visiting again student being stored in data storage cell 120
The learned lesson that new student will pay attention to the class.In this step, following information is received from data storage cell 120.
After study matching unit 140 is analyzed this information, matching belongs to interest-degree highest learning areas
Practise course.Here, the interest-degree highest in " science " field, therefore matching belongs to the learned lesson in " science " field.In addition, " section
The achievement degree in " field is relatively low and does not perform the learned lesson of correlation, therefore the study stage is defined as into " the first rank
Section ".
Finally, the learned lesson of " first stage " in " science " field is belonged to student's matching.
But in the present embodiment, belong to the learned lesson totally three of " first stage " in " science " field, therefore to matching
The method of one of them illustrates.
That is, through evaluation, because student has highest interest-degree (the first order) in scientific domain, in technical field
With the second high interest-degree (the second order), therefore finally matching is led in the degree of association with scientific domain, technology to the student
The learned lesson for belonging to the first stage, i.e. " making gyro " learned lesson in the high learned lesson of the order in domain.
5th, evaluation procedure
Evaluation result computing unit receives the result after performing " making gyro " learned lesson.When implementing result is predetermined journey
When more than degree, increase the achievement stage in " science " field and generate following evaluating data.
| Learning areas | Scientific domain | Technical field | Engineering field | World of art | Art of mathematics |
| The achievement stage | 0.8 | 0.8 | 0 | 0 | 0 |
When implementing result is not up to predetermined extent, increases the numerical value in the achievement stage in " science " field on a small quantity and generate such as
Under evaluating data.
| Learning areas | Scientific domain | Technical field | Engineering field | World of art | Art of mathematics |
| The achievement stage | 0.2 | 0.8 | 0 | 0 | 0 |
In addition, in this evaluation procedure, after performing " making gyro " learned lesson, the interest-degree of student is possible to change,
Therefore it is revalued.The evaluating data and modified interest-degree generated in this step is stored in the form of following.
The information generated is ultimately stored in data storage cell 120, and situation about being visited again in same student
Under, used as information during coupling learning course.
The interest field of the present invention is not limited to above-described embodiment, can be by a variety of in the range of appended claims
The embodiment of form is realized.In the scope for not departing from claims the present invention for required protection spirit, institute of the present invention
The category flexible various scopes of those skilled in the art are fallen within the scope described in claims of the present invention.
Description of reference numerals
110：New student's analytic unit
120：Data storage cell
130：Course taxon
140：Learn matching unit
150：Evaluation result computing unit.
Claims (12)
- A kind of 1. matching system of learned lesson, it is characterised in that including：Data storage cell, for storing the data of student；Course taxon, for being classified respectively simultaneously by learning areas and study stage to the multiple learned lessons set Storage；Learn matching unit, for receiving the information of student, pair learning areas corresponding with student from described information memory cell Analyzed, and fitted through at least one in the learned lesson of the course taxon classification with the study stage Learned lesson；Evaluation result computing unit, for receiving the knot after student performs the learned lesson matched by the study matching unit Fruit is simultaneously evaluated, and to generate or change evaluating data, and the evaluating data is input into the data storage cell.
- 2. the matching system of learned lesson according to claim 1, it is characterised in thatThe course taxon is used to the multiple course being categorized as in scientific domain, technical field, engineering field, art A learning areas in field and art of mathematics.
- 3. the matching system of learned lesson according to claim 2, it is characterised in that further comprise：New student's analytic unit, for based on the fresh information that is inputted by the student in the absence of storage information, to the student Interest-degree analyzed, and the interest-degree is stored in the data storage cell, wherein, the interest-degree corresponds to described A field in learning areas,The study matching unit is used for based on the interest-degree, and the student is matched in the learned lesson extremely A few learned lesson.
- 4. the matching system of learned lesson according to claim 1, it is characterised in thatThe evaluation result computing unit is stored in the data storage cell after the interest-degree for changing student.
- 5. the matching system of learned lesson according to claim 4, it is characterised in thatThe evaluation result computing unit is used for after the learning outcome of the student is received, on each learning areas into Stage is evaluated and reflects the evaluating data.
- 6. the matching system of learned lesson according to claim 5, it is characterised in thatThe course taxon is used to evaluate each learned lesson its degree of association with each learning areas,It is described study matching unit be used for determine the interest-degree highest learning areas of student and interest-degree second it is high study neck Domain, and sequentially meet the degree of association of student matching and each learning areas the learned lesson of interest-degree order.
- 7. the matching system of learned lesson according to claim 1, it is characterised in thatThe course taxon is used to classify to the multiple learned lesson the age by student,The study matching unit is used for the age information that student is received from described information memory cell, and according to the year of student In age, at least one learned lesson in the learned lesson is matched to the student.
- A kind of 8. matching process of learned lesson, it is characterised in that including：The input step of new information of trainee, when student is new student, receive inputted information of trainee；Interest-degree analytical procedure, the interest-degree of new student is analyzed using the information inputted；Matching step, at least one learned lesson in multiple learned lessons is matched to student；AndEvaluation procedure, pay attention to the class student the result after the learned lesson matched and analyze, to generate or change evaluation number According to,In the matching step, the student and the learned lesson are matched based on the interest-degree.
- 9. the matching process of learned lesson according to claim 8, it is characterised in thatThe interest-degree of student is changed in the evaluation procedure.
- 10. the matching process of learned lesson according to claim 9, it is characterised in that further comprise：Classifying step, multiple learned lessons are classified respectively by multiple learning areas and multiple study stages,Interest-degree of the student on each learning areas is analyzed in the interest-degree analytical procedure.
- 11. the matching process of learned lesson according to claim 10, it is characterised in thatThe learning areas are scientific domain, technical field, engineering field, world of art and art of mathematics.
- 12. the matching process of learned lesson according to claim 10, it is characterised in thatIts degree of association with each learning areas is evaluated each learned lesson in the classifying step,The interest-degree highest learning areas of student and the learning areas that interest-degree second is high are determined in the matching step, and And sequentially meet the degree of association of student matching and each learning areas the learned lesson of interest-degree order.
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