CN107230174A - A kind of network online interaction learning system and method - Google Patents
A kind of network online interaction learning system and method Download PDFInfo
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Abstract
The present invention provides the interactive on-line teaching system and method for learner center in a kind of on-line study, and the on-line teaching system has server, including：Input unit, output device, computing device, storage device；The computing device includes monitoring unit, keyword placement unit, course recommendation unit, course grid division unit, lesson test unit, learning route planning unit, course teaching unit, scoring unit, learning path adjustment unit；The storage device includes course learning person's information database.Pass through system and method for the present invention, so that learner is in the tutoring system using the present invention, it can realize and teach students in accordance with their aptitude, allow each learner to obtain potential interest/speciality development, and the study course by its development path data for instructing learner thereafter on the basis of oneself is original.
Description
Technical field
The present invention relates to network technique field, more particularly to a kind of learner center based on data switching networks
Online interaction learning system and method.
Background technology
At present, network on-line study is a kind of widely used remote teaching form, in abundant numeral
Under the support and auxiliary of changing resource and all kinds of learning support systems, on-line study person can be adjusted flexibly and draw oneself up
Habit activity and learning process, give full play to the independence of learner.China's online education market scale has reached average annual 200000000000
Member, learner reaches 100,000,000 people, covers the fields such as higher education, education of middle and primary schools, vocational training and preschool education.
In existing teaching practice, the course offered of online teaching is more fixed, generally use one-to-many pattern with
The course that order is set is imparted knowledge to students to be leading, and different learners receive the same content of courses and test.Simultaneously as online
The specific aim of learning support system and ageing not strong, learning activities are excessively homogeneous, along with the concern of teacher is not enough, a lot
Learner can't make full use of online course to carry out autonomous learning, wherein can not be taught students in accordance with their aptitude than a more prominent problem,
Effective, personalized course planning is formed for different learners, it is corresponding to lack comprehensive and personalized teaching evaluation
System.
There are the following problems for teaching practice：The difference of learner is objective reality, and correct understanding learner's difference is real
The premise of individualized teaching is applied, each learner's speed of development is different with track, the target of development also has certain difference
Different, existing online teaching system can not correctly judge the different characteristics and its development potentiality of each learner expansionaryly, be
Each learner proposes to be adapted to the specific targetedly didactic code of its development.
At present, the on-line study system of existing learner center, such as Publication No. CN101908286A's " is based on
The learning system and its assisted learning method of user evaluation data management can not be revised " there is provided the foreign language of learner center
Learning system, regard learner as the important evidence of teaching material evaluation and choice, root to user's evaluation opinion of learned a foreign language teaching material
According to the subjective demand of the actual learning of learner, impression and effect, help learner actively selection be more suitable for oneself basic condition and
The foreign language learning teaching material of characteristics of personality, targetedly adjusts its foreign language learning content and study course, improves autonomous learning energy
Power and efficiency.
But above-mentioned learning system has following problems, the choice of course is set according to the subjective feeling of learner, works as study
It negates that when evaluating more, learner can abandon the course, and change and learn other replacement class that person provides to some units of course
Journey.Thus, learner can be caused and feel difficult because learning some units and abandon whole course, and course is substituted changing
Afterwards, still suffer from greater probability to there is a possibility that to abandon, and then learner can be caused to abandon the subject.
Found based on research, the generation of above mentioned problem is, the planning to subject learning path is short of scientific and individual character
Change, shortcoming flexibility is set for teaching unit, underuse existing teaching resource, only just hobby judgement is a certain learner
It is no to continue to learn, it is impossible to know other people learning paths of peer-level, its own learning path is for other learners also without ginseng
The effect of examining.
The utilization of teaching resource is mentioned in the prior art, for example, patent publication No. is a kind of CN102968751A " medical science
The construction method of morphology course teaching resources bank " proposes screening to teaching resource, arrangement, digitized processing, and carries out
Data gridding, and constitute teaching unit.But the above method only carries out gridding to data, lacks level, while can not base
Effective learning path is provided for learner in this, learner can not know by the above method should be how to a certain subject
Study.
The content of the invention
In view of this, the present invention is intended to provide a kind of online interaction of the learner center based on data switching networks
Learning system and method.
According to one object of the present invention, there is provided a kind of online of the learner center based on data switching networks
Information Exchange System is practised, including：Input unit, output device, computing device, storage device, wherein input unit can be key
Disk, mouse, handwriting pad etc.；Output device can be display；Computing device includes monitoring unit, keyword placement unit, class
Journey recommendation unit, course grid division unit, lesson test unit, learning route planning unit, course teaching unit, is commented
Subdivision, learning path adjustment unit；Storage device includes course learning person's information database.
The learner information data-base recording learner personal information, curricula-variable information, course examination achievement, from main line
All information related to the learner such as learning path.
Behavior during monitoring unit monitoring learner's on-line study, including browse information and autonomous Online Learning
Path.
The keyword placement unit, to the word for the keyword related to learning process set in advance/frequently occur
Captured.
The course recommendation unit, according to the personal preference information of learner, interest point information recommends course to learner.
The course grid division unit, according to the characteristics of online course, by course according to the definition of core knowledge point/general
Read, and some course grids are divided into deep order by basis.According to the characteristics of online course, by course root
M × n course grid is divided into deep order according to definition/concept of core knowledge point, and by basis, it is each
Grid course is defined as C (i, j), (i≤m, j≤n), and each level course is defined as C (i), and m is by basis to deep level
Number, wherein n are definition/concept number of same level core knowledge point, and for common learners, same level
The study in rear knowledge point without based on the study in preceding knowledge point.That is, core knowledge point C (i, j) net
Lattice implication is j-th of knowledge point in the i-th level, also, in the i-th level, first learns C (i, j) or C (i, j+1).
The reason for using above-mentioned dividing mode, is, for different common learners, it is necessary to first learn low level
Course, the course of higher level can be learnt.But for the course of same rank, which common learners successively learn and know
Know point, difficulty difference less, but due to individual otherness, each learner for same rank knowledge point according to different
Serial order learning, it is different that it grasps situation.Each learner is being obtained in same rank learning path, and at the beginning of obtaining it
Under conditions of beginning level and background condition information, recommend the Optimal Learning road of type identical learner therewith to new learner
Footpath, can obtain higher learning efficiency.
The lesson test unit, carries out lesson test and provides to refer to fraction to the initial study condition of learner, with
And the study condition after learning to learner is tested again.
The learning route planning unit, the learning path of the course for generating learner.
The course teaching unit, provides teaching resource for learner according to learning path, is gone to school for learners' corpora line
Practise.
The scoring unit, according to learner's self-appraisal, he comment, evaluation of teacher is calculated, and show that the synthesis of learner is commented
Valency result.
Learning path adjustment unit, is adjusted by instructor to learning path, generates new learning path.
According to another object of the present invention, there is provided a kind of online of the learner center based on data switching networks
Practise information and exchange teaching method, including obtain from initial position the log-on message of learner, the log-on message reflects study comprehensively
Person's background, carries out rough estimates and analysis to learner's point of interest/speciality point, and be stored in system clothes according to log-on message
It is engaged in device learning person's information database.
This method is free to navigate through including learner to Internet resources, and the Internet resources can be given range resource,
Can be whole Internet resources.
It is polymerize by the way that learner's Internet resources are browsed with history and combines log-on message, obtains the actual interest of learner
Point/speciality point.
Further, suitable course is recommended to learner based on above-mentioned point of interest/speciality point.
Learner carries out curricula-variable according to system recommendation according to own situation.
After course is selected, mesh generation is carried out to it, m × n class journey C (i, j) (i≤m, j≤n) are broken down into, if
The learning objective G (i, j) (i≤m, j≤n) of fixed each course grid.
Learner carries out lesson test 1 before teaching, and system provides evaluation score to its course grid knowledge point situation.
Situation is grasped based on learner, and other equal initial level/point of interest/speciality point study for having completed course
Person's learning path recommends the standard study path P (i, j) (i≤m, j≤n) suitable for the learner.
Learner carries out the learning path that autonomous Online Learning/system gathers the learner simultaneously according to recommendation paths.
After learner's study is finished, application carries out lesson test 2.
The evaluation result of lesson test 2 is evaluated and taught to this learner by this learner self-assessment, other learners
Teacher evaluates this learner composition overall merit.
If the overall merit is not up to course grid C (i, j) learning objective G (i, j), by instructor in overall merit
On the basis of adjustment suitable for the learner learning path, the study of the grid is carried out again；If the overall merit reaches curriculum net
Lattice Ci × j learning objective G (i, j), the learner enter next course grid Ci, (j+1)/C (i+1), j study, meanwhile,
The learning path of the learner is checked/adjusted on the basis of overall merit by instructor, amendment/generation is used it on an equal basis just
The mesh standard learning path P (i, j) (i≤m, j≤n) of beginning level/point of interest/speciality point learner.
Taught students in accordance with their aptitude by system and method for the present invention with realizing, allow each learner on oneself original basis
On all obtain the development of potential interest/speciality, and its development path to be used for the study course that instructs learner thereafter.
This general introduction be provided be in order to introduce in simplified form will be described in detail below in the selection that further describes
Concept.This general introduction is not intended as the key feature or essential feature of mark claimed subject, is intended to be used to limit institute
The scope of claimed main body, in addition, theme claimed is not limited to solve mentioned in any portion in the present invention
Any or all shortcoming realization.
Brief description of the drawings
Fig. 1 is the online interaction learning method flow chart of steps according to the present invention；
Fig. 2 is the detailed maps of Fig. 1 system server；With
Fig. 3 is the detailed maps of Fig. 1 scoring unit.
Embodiment
For problems of the prior art, the present invention propose it is a kind of based on data switching networks using learner in
The on-line study information of the heart exchanges teaching, it is intended to teach students in accordance with their aptitude, and the study development path of individual is learnt thereafter for instructing
The study course of person.
To make technical scheme clearer, clear, develop simultaneously embodiment referring to the drawings, to of the present invention
Scheme, which is done, further to be described in detail.
Fig. 1 is the schematic diagram of the interactive online teaching of learner center in on-line study community.
For the ease of describing and distinguishing, use learner X1, X2 ... represents a series of learners registered.
According to one object of the present invention, to teach students in accordance with their aptitude, the background situation of learner need to be understood, it includes educating shape
Condition, employment status, interest information etc., to set suitable course to be selected for it.
Step S101：When receiving any learner X1 registration request task, the learner is pointed out to fill in registration letter
Breath, carries out rough estimates and analysis, and be stored in system server according to log-on message to learner's point of interest/speciality point
In learning person's information database.
The log-on message can be the information labels inventory previously generated, wherein may include various society's category of learner
Property, e.g., age, sex, income, job specification, affiliated industry, residence etc. may also comprise the education background of learner, e.g.,
Educational background, the achievement at school, graduation universities and colleges, affiliated specialty etc., here it is particularly advantageous that the interest information including learner, e.g., read inclined
Good, motion preference, artistic preference etc..
The purpose for collecting above- mentioned information is there is provided comprehensive, accurate, personalized customization learning path as far as possible, online
In Learning Community, life-long education and fragmentation learn to have become the important mode of learning of digital times, for system,
Basic condition of the learner before registration is that system institute is unknown.The aim of learning of any learner be obtain for itself into
Long beneficial course, is different from conventional mechanical mode of giving lessons, in some cases, learner do not know the speciality of itself and
Potential point of interest, and the interest model based on above-mentioned label from approval of the learner to different labels and degree of dependence come analytics
The interest of habit person, further according to by labeled packet, then calculating the labels of different groups respectively, there is common feature to carry
Take learner's the strongest point of interest and potential speciality point.For example, a certain system for inhabiting financial center city (label 1)
Medicine industry research staff (label 2), university's mathematical statistics during school is studied well (label 3) with probability theory, is keen to economy
The reading (label 4) of books is learned, Zeng Renjiao football teamleaders (label 5) delivered Organization Behavior paper one (label 6), three
The secondary virtual speculation in stocks contest of participation, and win a prize once (label 7).Label 1,3,4,7 has pointed to the learner in finance and number jointly
Potential interest/speciality in terms of, it is potential that label 2,5,6 has pointed to the learner's observation/leading capacity/Research Ability aspect
Interest/speciality, the above-mentioned label of comprehensive analysis, learner has potential interest/speciality of investment type industry.
Step S102：It is comprehensive with point of interest/speciality point for being obtained in step S101 based on browsing crawl point of interest/speciality point
Actual interest point/speciality point of learner is drawn after conjunction.
In this step, the log-on message voluntarily filled in by learner X1 in step S101 is different from, set based on browsing
Point of interest crawl step.This is due to the limitation by self-recognition, and (it recognizes information in terms of the relevant interest that learner fills in
The interest or ability that should have for oneself) and its actual potential interest or ability it sometimes appear that deviation, that is to say, that this
When information importer there is understanding deviation/deliberately avoid to itself actual conditions, thus can cause point of interest/speciality point label
The inaccuracy of information.Therefore, in order to provide more accurate personal information, the step is set.
In this step, the internet browsing of uncertain internet browsing and given range is included, and to browsing note
Record extracts keyword and is combined cluster, to identify the point of interest embodied in browsing.For example, history browsed X1 is believed
Breath is processed as the form of suffix, is then merged with the difference of similarity degree, the emerging of learner's different levels is predicted with this
Interest, or, first according to multiple learner X1, the semanteme of X2 ... search and the keyword in browsing pages is marked,
Recycle cluster mode that the learner with similar interest is identified.
In another example, data processing step S1021 can also be included, the meaning of this process step is, will
Optimized in step S101 with point of interest/speciality point data for being all referred in step S102, groundwork therein is exactly：Subtract
Make an uproar and recognize.
Noise abatement：Learner behavior data are that learner produces in navigation process, it there may be substantial amounts of noise and
Maloperation, can filter out the noise in behavioral data by data mining algorithm.
Identification：As it was previously stated, when calculating the point of interest of learner, to consistent emerging in step S101 and in step S102
Interest point is recorded, and is defined as learner's actual interest point.As it was previously stated, the interest information filled in of learner with it is browsed
The actual interest information reflected in journey can there is a situation where it is inconsistent, now, for same in step S101 and step S102
The inconsistent information of one point of interest, it is necessary to be further processed.
In one example, learner fill in step S101 for history, geography, biology, philosophy be interested in/
Speciality, during the internet browsing of knowledge, in step s 102, is carried in terms of above-mentioned four in given equal amount of reading
Take out learner is for the pageview ratio of above-mentioned four aspects knowledge：50:10:5:35, it is known that, on history, philosophy, study
The registration interest of person is substantially uniform with navigation interest, is designated as actual interest.Further, for geographical and biological, then carry out pair
Browsed in the given range of the above-mentioned equal amount of reading of two subjects, while adding the content that news etc. Gong browses, now, learner is clear
Record of looking at is shown, is 70 for geographical, biological, news pageview ratio:20:10, it is known that, learner is emerging to geographical registration
Interest is substantially uniform with navigation interest, is designated as actual interest.Browsing for further given biological and other guide, passes through pageview
Ratio, determines if there is interest to biology, if being found by contrast, to biological and indifferent to, it may be determined that on life
Thing, the registration interest and navigation interest of the learner is inconsistent, i.e., biological not actual interest, and biology is designated as into non-point of interest,
Recommend without follow-up course.
According to another object of the present invention, learner is helped to excavate itself unknown point of interest.Research is found, is limited by
The personal subjective assessment to itself of learner, or based on personal conventional experience, large number of learner does not know about to itself
Subject or knowledge module there is fear, it often shows as ignoring these knowledge modules, in fact, due to the judgement of itself
Deviation, learner really understands some potential points of interest under many circumstances, not.For this reason, it may be necessary to meet the feelings of learner
In the case of thread demand for security, potential course is recommended to it, and the satisfaction of this mood demand for security largely according to
Processing of the Lai Yu to learner's Given information, and its learner's relevant information similar with remaining comparison and calculating, especially
Preference information.
In one example, the learner X1 message reflection that browses goes out to have strong preference for English literature.
Step S103：Recommend suitable potential course to learner based on above-mentioned point of interest/speciality point.
In this step, the pass between learner is calculated the attitude and preference of same interest point according to different learners
System, carries out course recommendation between the learner for having identical hobby.If for example, two learners of X1, X2 have been directed to x, y, z tri-
Class label, and it is marked as that there is interest to this three classes label in the information of S101 and S102 steps.So X1
Just belong to same class learner with X2.The course C1, C2 ... ... that X2 can be selected for learning knowledge c1, c2 ... ...
Recommend learner X1.
In one example, Oral English Practice course, English Writing course and English Reading course are recommended to learner X1.
Step S104：Learner is according to recommendation curricula-variable.
In this step, due to the incomprehensive of information solicitation and the deviation calculated, the recommendation that learner institute X1 is received
Course perhaps to have grasped, perhaps to lose interest in, is perhaps (potential) point of interest, now needs learner emerging according to itself
Interest and ability voluntarily curricula-variable, and curricula-variable information is submitted in learner's X1 databases of system server.
In one example, learner X1 have selected course C.
Step S105：To the mesh generation of target course.
According to the characteristics of online course, by definition/concepts of the course C according to core knowledge point, and by basis to deeply
Order, be divided into m × n course grid, each grid course is defined as C (i, j), (i≤m, j≤n), each level
Course is defined as C (i), and m is that, by basis to deep level number, wherein n is definition/concept of same level core knowledge point
Number, and for common learners, the study in rear knowledge point of same level is without with the study of preceding knowledge point
Based on.That is, core knowledge point C (i, j) grid implication is j-th of knowledge point in the i-th level, also, i-th
In level, first learn C (i, j) or C (i, j+1).
In one example, course C is English Writing course, and learner X1 is zero-base plinth student, now, according to selected class
Course C is divided into the course grid (i.e. m=5) of 5 levels by journey C knowledge point：C1 words, C2 phrases, C3 sentences, C4 sections
Fall, C5 articles；And C5 articles are divided into：C (5,1) expository writing (exposition), C (5,2) narrative (narration), C
(5,3) argumentative writing (argumentation), C (5,4) are described literary (description).In this example, the difficulty of course from
Most basic C1 words increase to most deep C5 articles with the increase of level, but in same level, each knowledge point
Learning sequence each other is without premised on the study of other knowledge points, for example, not completing the situation of expository writing study
Under, narrative or argumentative writing can equally be learnt.
Step S106：It is determined that study/objectives of examination.
In this step, study/objectives of examination G is set to each core knowledge point C (i, j) of each level after division
(i, j), only learner X1 reach that this target G (i, j) could carry out the study of next knowledge point, complete whole m × n knowledge points
Learning objective after, course C study is qualified.
Step S107：First lesson test.
In this step, initial testing is carried out to learner X1, in this test, to being wrapped in course C selected by learner X1
The 1st grade contained carries out, by the 1st to j-th of progressively test, EOT end of test threshold value being set as needed to i-stage knowledge point：
Example, 1) tested by i-stage as learner, but when can not correctly provide i+1 level script for continuous three times, terminate this i-th+
1 grade of test, the achievement of recording learning person's lesson test 1 is designated as Gi,；And test information is submitted to the learner of system server
In X1 databases.
In one example, English learner X1 has passed through all tests of C1 word levels and C2 phrase ranks, but
In the test of C3 sentences, continuously not by declarative sentence, interrogative sentence, imperative sentence test, then record the lesson test 1 of the learner
Achievement is G2.
Step S108：The standard study path planning of Emergent Curriculum.
In this step, contrasted according to the achievement of lesson test 1 and study/objectives of examination, for not by the part of test,
Learner X1 course C (i) learning path P (i, j) is generated, including：To having completed course C (i) study and by test
Qualified learner X2, X3 ... ... learning path are clustered afterwards, are fitted suitable for possessing equal water by lesson test 1
Flat/point of interest/speciality point learner X1 mesh standard learning path the P (i, j), the fit standard path includes course C (i)
The information such as the learning sequence of interior knowledge point, stay time, the time point that need to be consolidated.
In one example, it is G2 according to the initial level of lesson test 1, and between 20-25 Sui, junior middle school's schooling,
Preference read Foreign Literature Chinese translation other by English composition course C several learners in preceding learning path, recommend
Go out to be suitable to learner X1 C3 sentence-C5 article learning paths, for example, in the learning process of C3 sentences, exclamative sentence, statement
Sentence, interrogative sentence, the learning path of imperative sentence are more suitable for learner X1, now, are in the standard study path P (i, j) of C3 sentences：
P (3,1), P (3,2), P (3,3), P (3,4), wherein P (3,1) learn for exclamative sentence, and P (3,2) learns for declarative sentence, P (3,3)
Learn for interrogative sentence, P (3,4) learns for imperative sentence.
Step S109：Learner carry out from main line attend class journey study.
In this step, standard study path P (i, j) of the system according to course step S108 generations provides for learner X1
Relevant knowledge content, while relational learning roads of the monitoring collection learner X1 when completing by standard routes P (i, j) to learn
Footpath information X1 (i, j) is simultaneously stored in learner information database, includes the study of learner X1 knowledge points in course C (i)
Sequentially, the information such as stay time, the time point that need to be consolidated.
In one example, learner X1 according to exclamative sentence, declarative sentence, interrogative sentence, imperative sentence learning path
Practise, simultaneity factor record relational learning information.
Step S110：Second lesson test, and generate the overall merit of learner's courses taken.
In this step, learner X1 is tested again, this learner X1 course C (i, j) overall merit knot is drawn
Really (Evaluation):E1(i,j).The evaluation result of lesson test 2 is by this learner X1 self-assessments X (1,1), r, Qi Tatong
Grid learner X2, X3 ..., Xt are to this learner X1 evaluation X (2,1), r, X (3,1), r ... ..., X (t, 1), r and instruct
Teacher evaluates this learner X (s, 1), r composition overall merit E1 (i, j).
This learner X1 evaluates X (1,2), r, X (1,3) to other learner X2, X3 ..., Xt of same course grid
R ... ..., X (1, t) r, the comprehensive evaluation result for calculating other learner X2, X3 ..., Xt:E2 (i, j), E3 (i,
j),…,Et(i,j)。
In one example, learner X1 is in the lesson test of grid C (3,1), and its school grade E1 (3,1) is by three
It is grouped into：X1 evaluates achievement X (1,1) to the lesson test result to itself providing；The common on-line study person X2 of same grid,
X3 evaluation achievement X (2,1), r, X (3,1), r, and the evaluation X (s, 1) that instructor provides to X1, r.
Wherein, instructor comments according to X1 test case and X1 on-line study person X2, X3 common to same grid
The X1 that valency is reflected provides X1 evaluation X (s, 1), r to the Grasping level of the grid knowledge point.
In addition X1 provides evaluation achievement X (1,2) to common on-line study person X2, X3 of same grid simultaneously, r, X (1,
3), r.
Step S111：Into next course learning, or a course is relearned, until reaching objectives of examination.
E1 (i, j) and G (i, j) are compared, if E1 (i, j) ＜ G (i, j), i.e. overall merit are not up to course grid C
The learning objective G (i, j) of (i, j), the learning path for being suitable to the learner is adjusted by instructor on the basis of overall merit, then
The secondary study for carrying out the grid；If E1 (i, j) >=G (i, j), i.e. overall merit reaches course grid Ci × j learning objective G
(i, j), the learner enter next course grid Ci, j/Ci, the study of (j+1), meanwhile, by instructor in overall merit base
The learning path of the learner is checked/adjusted on plinth, uses it for the equal initial level/point of interest/speciality point of amendment/generation
The mesh standard learning path P (i, j) (i≤m, j≤n) of habit person.
In another example, overall merit E1 (i, j) can be calculated as below：
(wherein a ＞ 0, b ＞ 0, c ＞ 0, and a+b+c=1, p be span 3 to the natural number between t-1)
Learner X1 is in next course grid study circulation is entered, until completing the study to all courses.In study
In person X1 learning process, it understands the learning level of each other learners of same mesh of study, meanwhile, instructor obtains
The learning level of different learners, in addition, by knowing course evaluations of the X1 to other learners so that instructor obtains
On data of the learner X1 to course grasp situation, it is possible thereby to regularized learning algorithm path or the ginseng to be used as standard learning path
Examine index.
In one example, learner X1 grid C (3,1) overall merit achievement is E1 (3,1)<G (3,1), is instructed
Teacher by learner X1 each learning route of C (3) grid analysis, with reference to other learners similar with X1 levels
After learning path, learning path is adjusted to P (3,1) and learnt for interrogative sentence, P (3,2) learns for declarative sentence, P (3,3) is exclamation
Sentence study, P (3,4) learns for imperative sentence, and learner X1 reaches qualified level after learning again；Meanwhile, multidigit and X1 initial waters
Gentle background identical learner is learnt using P (3,1) for interrogative sentence, and P (3,2) learns for declarative sentence, and P (3,3) is exclamative sentence
Study, after P (3,4) is the path that imperative sentence learns, also reaches qualified level, now, system is by the standard of same type learner
Learning path is revised as above-mentioned path.
There is provided a kind of interactive on-line teaching system service of learner center according to another aspect of the present invention
Device.The system server includes：Learner information database, monitoring unit, keyword placement unit, course recommendation unit, class
Journey mesh generation unit, lesson test unit, learning route planning unit, course teaching unit, scoring unit.
Learner information data-base recording learner personal information, curricula-variable information, course examination achievement, autonomous Online Learning
All information related to the learner such as path.
Behavior during monitoring unit monitoring learner's on-line study, including browse information and autonomous Online Learning road
Footpath.
Keyword placement unit, enters to the keyword for the keyword related to learning process set in advance/frequently occur
Row crawl；In another example, in addition to data-optimized module, the number after noise abatement and the placement unit processing of identification keyword
According to the more accurate keyword of output.
Course recommendation unit, according to the personal preference information of learner, interest point information recommends course to learner.
Course grid division unit, according to the characteristics of online course, by definition/concept of the course according to core knowledge point,
And it is divided into some course grids to deep order by basis.
Lesson test unit, carries out lesson test and provides to refer to fraction to the initial study condition of learner, and right
Study condition after learner's study is tested again.
In another example, the initial testing of lesson test unit is tested for objective item.
In another example, the test again of lesson test unit is tested for subjective item.
Learning route planning unit, the learning path of the course for generating learner.
In another example, the initial testing achievement generation learning path according to learner.
It is that current learner's generation is learned according to the standard learning path for having completed study learner in another example
Practise path.
In another example, the initial testing achievement of foundation learner and the standard learning path life for having completed learner
Into the learning path of current learner.
Course teaching unit, provides teaching resource, for learners' corpora Online Learning according to learning path for learner.
Score unit, according to learner's self-appraisal, he comment, evaluation of teacher is calculated, and draws the overall merit knot of learner
Really.
In another example, including learning path adjustment unit, learning path is adjusted by instructor, generated
New learning path.
In another example, course grid learning objective is not up to learner's overall merit, is existed by instructor
Learning path of the adjustment suitable for the learner, carries out the study of the grid again on the basis of overall merit.
In another example, course grid learning objective is reached to overall merit, by instructor in overall merit
On the basis of check/adjust the learning path of the learner, use it for the equal initial level/point of interest of amendment/generation/speciality point
The mesh standard learning path of learner.
The systems and methods can be used in on-line study community in the teaching of learner center, so as to solve
Curricula mentioned by background section sets and can not met individual requirements, it is impossible to excavate the potential point of interest of learner/
The problem of speciality point.
It should be understood that affiliated configuration herein and/method are inherently exemplary, and these specific embodiments or
Example is not considered as limitation, because multiple variants are possible.Logic subsystem journey or method can be with tables
Show one or more of any amount of processing strategy.Thus, each shown action can be performed by shown order, pressed
Other order perform, are performed in parallel or are omitted in some cases.It is also possible to change the order of said process.
Subject of the present invention includes various processes, system and configuration, other features disclosed herein, function, action,
And/or characteristic and all novel and non-obvious combination of its any and whole equivalent and sub-portfolio.
Claims (12)
1. a kind of network online interaction learning system, including input unit, output device, computing device, storage device；
The computing device includes monitoring unit, keyword placement unit, course recommendation unit, lesson test unit, course teaching list
Member, scoring unit；Characterized in that,
The computing device also includes：Course grid division unit, multiple independent grids are divided into by target course；Course
Path planning unit is practised, is the learning path that learner generates above-mentioned grid；Learning path adjustment unit, is commented according to course learning
Valency result, associative learning person's own situation, regularized learning algorithm path.
2. method according to claim 1, it is characterised in that
The course grid division unit, according to the characteristics of online course, by definition/concept of the course according to core knowledge point,
Some level course grids are divided into deep order according to by basis, study of the same level in rear knowledge point need not
Based on the study in preceding knowledge point.
3. system according to claim 1, it is characterised in that
The learning route planning unit, according to the initial level of learner, background information, curricula-variable situation, with reference to its
Same type has completed same course and course grid learning sequence and stay time has been given birth to by other learners of test
Into the standard learning path of current learner's course.
4. system according to claim 1, it is characterised in that
The storage device includes course learning person's information database, recording learning person's personal information, curricula-variable information, course examination
The information related to the learner such as achievement, autonomous Online Learning path；
The keyword placement unit, is carried out to the word for the keyword related to learning process set in advance/frequently occur
Crawl.
The course recommendation unit, according to the personal preference information of learner, interest point information recommends course to learner；
The lesson test unit, carries out lesson test and provides to refer to fraction to the initial study condition of learner, and right
Study condition after learner's study is tested again；
The course teaching unit, provides teaching resource, for learners' corpora Online Learning according to learning path for learner.
5. system according to claim 1, it is characterised in that
The scoring unit, according to learner's self-appraisal, he comment, evaluation of teacher is calculated, and draws the overall merit knot of learner
Really；
Learning path adjustment unit, when the evaluation result of learner is unqualified, instructor by learner to curriculum net
The analysis of lattice learning path, with reference to after its initial level and background identical other learner's learning paths, to learning path
The order of upper course grid and time make adjustment, after current learner learns again until reach qualified level and multidigit with
Initial level and background identical learner qualified water is also reached usually using the path that learns after adjustment, system is by same type
The standard learning path of learner is revised as above-mentioned path.
6. a kind of network online interaction learning method, comprises the following steps：
Step S101：When receiving the registration request of learner, learner's filling registration information is pointed out, according to log-on message pair
Learner's point of interest/speciality point carries out rough estimates and analysis, and is stored in system server learning person's information data
In storehouse；
Step S102：Based on browsing crawl point of interest/speciality point, after being integrated with point of interest/speciality point for being obtained in step S101
Draw actual interest point/speciality point of learner；
Step S103：Matching primitives are carried out by the keyword and alternative course of crawl, thus recommend course to learner；
Step S104：Learner's selection target course from course is recommended；
Step S105：Mesh generation is carried out to target course, different levels are divided into, each level has different curriculum nets
Lattice；
Step S106：Determine objectives of examination；
Step S107：Carry out the first lesson test；
Step S108：Generate the standard study path planning of each level course：
Contrasted according to the achievement of the first lesson test and objectives of examination, for not by the part of test, according to the first of learner
Beginning level, background information, curricula-variable situation, with reference to its same type completed same course and pass through test other learn
Person generates the standard learning path of current learner's level course to course grid learning sequence and stay time.
Step S109：Learner carries out the target course learning from main line；
Step S110：The second lesson test is carried out, the overall merit of learner's target course is generated；
Step S111：Into next course learning, or a upper course is learned again, until reaching objectives of examination.
7. method according to claim 6, it is characterised in that
If the overall merit of learner does not meet objectives of examination in step S110, learning path is set to adjust step after step S110
Suddenly：
Instructor by the analysis to learner to course grid learning path, with reference to its initial level and background identical
After other learner's learning paths, the order of course grid and time on learning path are made adjustment, current learner is again
After study until reach qualified level and multidigit therewith initial level and background identical learner using learning after adjustment
Path also reaches qualified water usually, and the standard learning path of same type learner is revised as above-mentioned path by system.
8. method according to claim 6, it is characterised in that
M × n course grid is formed in step S105, each grid course is defined as C (i, j), (i≤m, j≤n), each layer
Level course is defined as C (i), and m is to arrive deep level number by basis, wherein n for same level core knowledge point definition/generally
Number is read, and for common learners, the study in rear knowledge point of same level is without with preceding knowledge point
Based on habit.
9. method according to claim 6, it is characterised in that
The evaluation result of lesson test 2 by this learner X1 self-assessments X (1,1), r, other same grid learner X2, X3 ...,
Xt is to this learner X1 evaluation X (2,1), and r, X (3,1) r ... ..., X (t, 1) r and instructor evaluate X to this learner
(s, 1), r composition overall merit E1 (i, j).
10. method according to claim 9, it is characterised in that
(wherein a ＞ 0, b ＞ 0, c ＞ 0, and a+b+c=1, p be span 3 to the natural number between t-1).
11. a kind of computer equipment, including memory, processor and storage are on a memory and the meter that can run on a processor
Calculation machine program, it is characterised in that can be realized such as any one of claim 6-10 during the computing device described program
Method and step.
12. a kind of computer-readable storage medium, can be real during execution described program which stores the program that can be computer-executed
Now such as any one of claim 6-10 method and step.
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| WO2018227762A1 (en) | 2018-12-20 |
| CN107230174B (en) | 2021-04-06 |
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