CN110111223A - Adaptive educational method and system based on artificial intelligence - Google Patents
Adaptive educational method and system based on artificial intelligence Download PDFInfo
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Abstract
The invention discloses the adaptive educational systems based on artificial intelligence, including control centre, teacher side, student side, it further include learning the interim assessment unit evaluated and tested to student, the learning evaluation unit that student's study schedule situation is assessed, the learning path customization units of individualized learning scheme are formulated according to student's study schedule difference, store the knowledge storing unit for covering entire padagogical knowledge system, the control centre respectively with teacher side, student side, assessment unit, learning evaluation unit, learning path customization units, knowledge storing unit connection；The invention also provides the adaptive educational methods based on artificial intelligence.The present invention can adapt to the study condition of student automatically, and carry out dynamic regulation teaching with this, land the individualized education of " student-oriented model " really, really realize and " teach students in accordance with their aptitude " described in Confucius.
Description
Technical field
The present invention relates to field of Educational Technology, more particularly to adaptive educational system and its method based on artificial intelligence.
Background technique
Currently, fast in the new technologies new concept such as cloud computing, big data, Internet of Things, internet, intelligent recognition, information management
Under the double drive of speed development and economic society demand, information technology, which is walked quickly, marches toward the intelligent stage, and Artificial Intelligence Development welcomes
New era.
Therefore, when IT application in education sector infrastructure is still popularizing perfect, " internet+" and education still in mutual catalysis fusion
When, higher developing stage of the artificial intelligence as information technology unquestionably profound can push reform in education and teaching and innovation
Development, and then opportunities and challenges are brought to future education.
Currently, application of the artificial intelligence in terms of education is not goed deep into, some basic education have been merely related to, such as
Speech recognition and semantic analysis technology can be used in spoken assessment, and image recognition technology, which is used in write a composition to correct and take pictures, searches topic, together
When, the limitation in time and space is broken in education merely by carriers such as computers on current line, on the time, can pass through recorded broadcast class
It realizes study, spatially, does not need to impart knowledge to students same place is aspectant, be only the change of teaching condition, to religion
Learning content, there is no substantive changes, i.e., currently based on the education of artificial intelligence or centered on teacher, there is no true
It is positive to realize student-oriented model.
Summary of the invention
In view of the above drawbacks of the prior art, the present invention provides the adaptive educational method based on artificial intelligence and it is
System, can effectively improve the prior art, allow education being capable of real student-oriented model.
On the one hand, the present invention provides a kind of adaptive educational method based on artificial intelligence, comprising the following steps: S1, right
The study situation of student is evaluated and tested, and test report is formed；S2, test report is assessed, forms diagnostic analysis report；
S3, it is reported based on diagnostic analysis, obtains the knowledge point that the needs of student learn；S4, the knowledge point learnt as needed are generated a
Property Learning Scheme；S5, according to individualized learning scheme, teach student to learn；And it S6, dynamically adjusts in learning process
Whole individualized learning scheme.
In some embodiments, optionally, step S2 further includes steps of S21, collects test report；S22,
Test content in test report is resolved into multiple knowledge points, to be diagnosed to be the advantageous point and weak tendency point of student；S23, base
In multiple knowledge points, sorts out the knowledge point group of grasp of student and do not grasp knowledge point group；And S24, extraction have been grasped and have been known
Know point group and do not grasp knowledge point group, forms diagnostic analysis report.
In some embodiments, optionally, step S3 further includes steps of S31, will not grasp knowledge point assembling and dismantling
Solution does not grasp knowledge point at multiple；S32, it does not grasp knowledge point for each, carries out lateral classification, to carry out subject point
Class；And S33, do not grasp knowledge point for each, longitudinal classification is carried out, thus the knowledge that the needs for obtaining student learn
Point.
In some embodiments, optionally, the knowledge that step S4 further includes steps of S41, analysis needs to learn
The time that importance ratio and needs of the point in laterally sorted sequence learn, obtain horizontal analysis result；S42, divide
The time that analysis needs importance ratio and needs of the knowledge point learnt in longitudinal sorted sequence to learn, obtain longitudinal direction
Analyze result；And S43, according to horizontal analysis result and vertical analysis as a result, generate individualized learning scheme.
In some embodiments, optionally, step S6 further includes steps of S61, in learning process, dynamic
The study situation of student is analyzed, dynamic analysis result is formed；And S62, according to dynamic analysis result, routine adjustment knowledge point road
Diameter and difficulty of knowledge points, so as to adjust individualized learning scheme.
In some embodiments, optionally, step S1-S6 is repeated, until student completes learning objective.
On the other hand, the present invention also provides a kind of adaptive educational system based on artificial intelligence, including control centre, religion
Shi Duan, student side, further includes: the interim assessment unit evaluated and tested is learnt to student；Student's study schedule situation is carried out
The learning evaluation unit of assessment；The learning path customization for formulating individualized learning scheme according to student's study schedule difference is single
Member；And store the knowledge storing unit for covering entire padagogical knowledge system；Wherein, control centre respectively with teacher side, learn
It causes trouble, the connection of unit of testing and assessing, learning evaluation unit, learning path customization units, knowledge storing unit；Teacher side is known for imparting knowledge to students
Know, intervene dynamic learning process, monitoring student's situation, emotional exchange in real time；And student side is for receiving knowledge, feedback learning
Problem.
In some embodiments, optionally, learning evaluation unit includes: the student for capturing student's learning dynamics data
Learning dynamics data collection module；For diagnosing student's learning dynamics data analysis module of study advantageous point and weak tendency point；With
And student's learning dynamics data processing module for online processing study advantageous point and weak tendency point.
In some embodiments, optionally, learning path customization units include: dynamic for learning to assessment unit and student
The study schedule dynamic analysis module that the information that the transmission of state data processing module comes is integrated；It is weak for real-time regularized learning algorithm
The learning path dynamic adjustment module of knowledge point；And the learning difficulty real-time monitoring for adjusting knowledge point complexity in real time
Module.
In some embodiments, optionally, knowledge storing unit includes: knowledge point categorization module, knowledge point categorization module
With laterally classification and longitudinal classification, laterally classification includes different section's purposes knowledge point, is longitudinally classified as to chase after in same subject
The knowledge point that root is traced to the source；Knowledge point sorting module, knowledge point sorting module for knowledge point is divided into grasped knowledge point group and
Knowledge point group is not grasped；And knowledge point extraction module, knowledge point extraction module from knowledge storing unit for extracting student
Hold the knowledge point needed.
By above-mentioned method and system, the present invention at least have it is below the utility model has the advantages that
1, by unit students ' basic condition at this stage of testing and assessing, learning evaluation unit, learning path customization units can
Learn loophole to help student accurately to find it as genetic test, the knowledge point for allowing student only can not learn avoids repeatability
Study；
2, when establishing individualized learning scheme, pass through knowledge point categorization module in knowledge storing unit and knowledge o'clock sharp
Reason module finds knowledge loophole, for example the knowledge point study of a grade eight will not, it may be possible to because some at seven grades is known
Caused by knowing point without grasping, classify by the longitudinal direction in the categorization module of knowledge point, the knowledge leakage of student can be found accurately from source
Hole；
3, student can be helped to formulate individualized learning scheme by learning path customization units, the time is effectively spent
On weak knowledge point, without differences in conventional teaching is avoided to impart knowledge to students, also, learning evaluation unit be in real time, dynamically,
The student's learning dynamics data analysis module having can grasp situation by students ' in real time, and thus change learning path and
Practise difficulty, real student-oriented model；
To sum up, the present invention can adapt to the study condition of student automatically, and carry out dynamic regulation teaching with this, make " with student
Centered on " individualized education really land, really realize and " teach students in accordance with their aptitude " described in Confucius.
It is described further below with reference to technical effect of the attached drawing to design of the invention, specific structure and generation, with
It is fully understood from the purpose of the present invention, feature and effect.
Detailed description of the invention
When following detailed description is read in conjunction with the figure, the present invention will be become more fully understood from, throughout the drawings, identical
Appended drawing reference represent identical part, in which:
Fig. 1 is the block diagram of one embodiment of the adaptive educational system of the invention based on artificial intelligence.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.
As shown in Figure 1, the adaptive educational system based on artificial intelligence, including control centre 11, teacher side 12, student side
13, it further include learning interim evaluated and tested assessment unit 14, is assessed student's study schedule situation to student
It practises assessment unit 15, the learning path customization units 16 of individualized learning scheme, storage is formulated according to student's study schedule difference
Have a knowledge storing unit 17 for covering entire padagogical knowledge system, control centre 11 respectively with teacher side 12, student side 13,
Unit 14, learning evaluation unit 15, learning path customization units 16, the knowledge storing unit 17 of testing and assessing connect.In some embodiments
In, connection can be wired, be also possible to wireless.
Teacher side 12 intervenes dynamic learning process, monitoring student's situation, emotional exchange, teacher for teaching knowledge, in real time
End 12 is mainly responsible for by teacher, teacher in entire educational system most importantly to the supplement of system emotion, no matter artificial intelligence
How develop, it is necessary instead of not effect of the teacher and student in terms of emotional exchange, that is, " cultivating talent " this part always
It is responsible for by teacher, so teacher side 12 is that other component units are complementary with system；
Student side 13 is for receiving knowledge, feedback learning problem.13 student-based orientation of student side, whole system be for
Student's service, thus whole system to be done it is main be exactly to collect the data of student side 13, and analyze it, finally adapt to it,
To complete learning objective.
Learning evaluation unit 15 includes student's learning dynamics data collection module for capturing student's learning dynamics data
21, excellent for diagnosing student's learning dynamics data analysis module 22 of study advantageous point and weak tendency point, learning for online processing
Student's learning dynamics data processing module 23 of gesture point and weak tendency point.
Learning path customization units 16 include for passing to assessment unit 14 and student's learning dynamics data processing module 23
It is defeated come information integrated study schedule dynamic analysis module 31, for the study road of real-time regularized learning algorithm weakness knowledge point
Diameter dynamic adjustment module 32, the learning difficulty real-time monitoring module 33 for adjusting knowledge point complexity in real time.
Knowledge storing unit 17 includes knowledge point categorization module 41, knowledge point sorting module 42, knowledge point extraction module 43.
Knowledge point categorization module 41 has laterally classification and longitudinal classification, and laterally classification includes different section's purposes knowledge point,
Longitudinal direction is classified as the knowledge point that can be traced to its source in same subject, for example the knowledge point study of a grade eight will not, it may be possible to
Because caused by not grasped seven grades some knowledge point, classifying by the longitudinal direction in the categorization module of knowledge point, Ke Yicong
Find the knowledge loophole of student accurately in source.
Knowledge point sorting module 42 has grasped knowledge point group 51 and has not grasped knowledge point group 52 for knowledge point to be divided into, will
Knowledge point is divided into two groups, it is therefore an objective to help student accurately to find it as genetic test and learn loophole, student is allowed only to can not learn
Knowledge point, avoid repeat inquiry learning.
The knowledge point that knowledge point extraction module 43 is needed for extracting student side 13 from knowledge storing unit 17.
The present invention also provides a kind of adaptive educational method based on artificial intelligence, can be directed to by following steps
Property for student provide individualized learning scheme, and dynamic tune can be carried out to individualized learning scheme in students'learning
It is whole, realize adaptive education.
One, the study situation of student is evaluated and tested, forms test report.Student enters system by student side 13, leads to
It crosses assessment unit 14 and learns situation at this stage to student and evaluate and test, form test report.In some embodiments, student is first defeated
Enter or select corresponding grade and subject, system can targetedly generate corresponding testing scheme, for example select the student
Learnt and relevant knowledge point forms testing scheme compared with the content that will learn.In some embodiments,
Test content in test report includes multiple knowledge points and the index to each knowledge point Grasping level.
Two, test report is assessed, forms diagnostic analysis report, further comprise: (1) collects test report；(2)
Test content in test report is resolved into multiple knowledge points, to be diagnosed to be the advantageous point and weak tendency point of student；(3) it is based on
Multiple knowledge points sort out the knowledge point of the grasp group 51 of student and do not grasp knowledge point group 52；And (4) are extracted to have grasped and be known
Know point group 51 and do not grasp knowledge point group 52, forms diagnostic analysis report.
Student's learning dynamics data collection module 21 in learning evaluation unit 15 collects test report, and is learned by student
It practises dynamic data analysis module 22 to analyze test report, the test content in test report is resolved into multiple knowledge
Point, and the advantageous point and weak tendency point that student learns are diagnosed to be according to the index of each knowledge point Grasping level, and pass through knowledge and store up
Knowledge point sorting module 42 in memory cell sorts out respectively have been grasped knowledge point group 51 and has not grasped knowledge point group 52, by knowledge
Point extraction module 43, which will grasp knowledge point group 51 and not grasp knowledge point group 52, to be extracted, and diagnostic analysis report is formed, and
Diagnostic analysis report is sent to student's learning dynamics data processing module 23.In some embodiments, in diagnostic analysis report
Knowledge point group 52 of not grasping include multiple not grasping knowledge point.
Three, it is reported based on diagnostic analysis, obtains the knowledge point that the needs of student learn, further comprise: (1) will not grasp
The dismantling of knowledge point group 52 does not grasp knowledge point at multiple；(2) knowledge point is not grasped for each, carry out lateral classification, thus
Carry out account classification；And (3) do not grasp knowledge point for each, carry out longitudinal classification, need to learn to obtain student
The knowledge point of habit.
Student's learning dynamics data processing module 23 disassembles the knowledge point group 52 of not grasping of diagnostic analysis report middle school student
Processing, foundation knowledge point categorization module 41 carry out laterally classification to the knowledge point that do not grasp in knowledge point group 52 and longitudinal direction are classified,
Subject classification is carried out by laterally classifying, by the knowledge loophole for finding student accurately traced to its source of longitudinally classifying, to be needed
The knowledge point of learning and mastering is wanted, and processing result is sent to control centre 11.
In some embodiments, laterally classification is the classification of section's purpose, longitudinal classification be it is not of the same grade or horizontal identical or
Related section's purpose classification.Laterally classification is conducive to reduce the scope on the width, and longitudinal classification is conducive to trace to its source in depth.
Four, the knowledge point learnt as needed generates individualized learning scheme, further comprises: (1) analysis needs to learn
Importance ratio of the knowledge point in laterally sorted sequence and time for needing to learn, obtain horizontal analysis result；
(2) it the time that analysis needs importance ratio and needs of the knowledge point learnt in longitudinal sorted sequence to learn, obtains
To vertical analysis result；And (3) according to horizontal analysis result and vertical analysis as a result, generate individualized learning scheme.
Processing result is transferred to learning path customization units 16 by control centre 11, passes through study schedule dynamic analysis module
31 pairs its analyze, analyze the knowledge loophole the do not grasped importance ratio in laterally sorted sequence, and analysis needs accordingly
The time to be learnt, the knowledge loophole that do not grasped with post analysis importance ratio in the sequence that longitudinally classification is waited, and it is corresponding
Analysis needs time for learning, finally, learning path customization units 16 generate individualized learning scheme based on the analysis results, and with
Plan sheet form to present.In some embodiments, individualized learning scheme may include for the knowledge point customization for needing to learn
Learning sequence, difficulty of knowledge points, learning time, number of repetition etc..
Five, according to individualized learning scheme, student is taught to learn.Teacher side 12 can be according to individualized learning scheme
Student is taught.
Six, individualized learning scheme is dynamically adjusted in learning process, further comprises: (1) in learning process, dynamic
The study situation of student is analyzed, dynamic analysis result is formed；And (2) according to dynamic analysis result, routine adjustment knowledge point road
Diameter and difficulty of knowledge points, so as to adjust individualized learning scheme.
During giving guidance in study, the continuous analysis and processing result of the meeting of study schedule dynamic analysis module 31, learning path is moved
State adjust module 32 and learning difficulty real-time monitoring module 33 periodically receive study schedule dynamic analysis module 31 analysis as a result,
Based on the analysis results, learning path dynamic adjusts the knowledge point path of 32 routine adjustment Learning Scheme of module, and learning difficulty is real-time
Regulate and control the difficulty of knowledge points of 33 routine adjustment Learning Scheme of module, forms adaptive education.
Seven, step 1 is repeated to six, until student completes learning objective.Learning objective can be preset, can also root
It is dynamically adjusted according to the study situation of student.
In further embodiments, the invention also provides a kind of adaptive educational method based on artificial intelligence, including
Following steps:
S1, student enter system by student side 13, learn situation at this stage to student by unit 14 of testing and assessing and comment
It surveys, forms test report；
S2, student's learning dynamics data collection module 21 in learning evaluation unit 15 collect test report, and by learning
Raw learning dynamics data analysis module 22 analyzes test report, and the test content in test report is resolved into and multiple is known
Know point, is diagnosed to be the advantageous point and weak tendency point of student's study, and divide by the knowledge point sorting module 42 in Knowledge Storage unit
It does not sort out and has grasped knowledge point group 51 and do not grasped knowledge point group 52, knowledge point group will have been grasped by knowledge point extraction module 43
51 and knowledge point group 52 is not grasped extract, form diagnostic analysis report, and diagnostic analysis report is sent to student's study
Dynamic Data Processing module 23；
S3, student's learning dynamics data processing module 23 tear the knowledge point group 52 of not grasping of diagnostic analysis report middle school student open
Solution processing carries out laterally classification and longitudinal point to the knowledge point that do not grasp in knowledge point group 52 according to knowledge point categorization module 41
Class carries out subject classification by laterally classifying, by the knowledge loophole for finding student accurately traced to its source of longitudinally classifying, to obtain
The knowledge point of learning and mastering is needed, and processing result is sent to control centre 11；
Processing result is transferred to learning path customization units 16 by S4, control centre 11, passes through study schedule dynamic analysis
Module 31 analyzes it, analyzes the knowledge loophole that do not grasp importance ratio in laterally sorted sequence, and divide accordingly
Analysis needs the time learnt, the knowledge loophole that do not grasp with post analysis importance ratio in the sequence that longitudinally classification is waited, and phase
The time that the analysis answered needs to learn, finally, learning path customization units 16 generate individualized learning scheme based on the analysis results,
And to plan sheet form presentation；
S5, teacher side 12 teaches student according to individualized learning scheme, during guidance, study schedule dynamic point
The continuous analysis and processing result of the meeting of module 31 is analysed, learning path dynamic adjustment module 32 and learning difficulty real-time monitoring module 33 are regular
The analysis of study schedule dynamic analysis module 31 is received as a result, based on the analysis results, learning path dynamic adjustment module 32 is regular
The knowledge point path of regularized learning algorithm scheme, the difficulty of knowledge points of 33 routine adjustment Learning Scheme of learning difficulty real-time monitoring module,
Form adaptive education；
S6 repeats S1-S5, until student completes learning objective.
In some embodiments, above-mentioned various methods can be in one or more processing units (for example, digital processing
Device, analog processor, be designed to processing information digital circuit, be designed to processing information analog circuit,
State machine and/or other mechanisms for electronically handling information) in be implemented.The one or more processing unit can be with
Including executing the one of some or all of operations of method in response to the instruction being electronically stored on electronic storage medium
A or multiple devices.The one or more processing unit may include being configured specially to set by hardware, firmware and/or software
Count into one or more devices of one or more operations for executing method.The above, the only present invention preferably tool
Body embodiment, but scope of protection of the present invention is not limited thereto, and anyone skilled in the art is in this hair
In the technical scope of bright exposure, it is subject to equivalent substitution or change according to the technical scheme of the invention and its inventive conception, should all contains
Lid is within protection scope of the present invention.
Embodiments of the present invention can carry out in hardware, firmware, software or its various combination.It is also used as storing
On a machine-readable medium and the instruction that one or more processing units read and execute can be used to realize the present invention.?
In one embodiment, machine readable media may include readable in machine (for example, computing device) for storing and/or transmitting
The various mechanisms of the information of form.For example, machine readable storage medium may include read-only memory, random access memory,
Magnetic disk storage medium, optical storage media, flash memory device and other media for storing information, and it is machine readable
Transmission medium may include the transmitting signal (including carrier wave, infrared signal, digital signal) of diversified forms and be used for transmission letter
Other media of breath.Although in terms of the particular exemplary for executing certain movements and the angle of embodiment can be in above disclosure
It describes firmware, software, routine or instruction in content, but will be apparent that, this kind of description is merely for facilitating purpose and this kind of dynamic
Make actually by computing device, processing unit, processor, controller or other dresses for executing firmware, software, routine or instruction
It sets or machine generates.
This specification uses examples to disclose the present invention, and one or more of examples are described or are illustrated in explanation
Among book and its attached drawing.Each example is provided to explain the present invention and provide, be not intended to be limiting of the invention.In fact,
It is obvious to the skilled person that without departing from the scope or spirit of the invention can be to this hair
It is bright to carry out various modifications and modification.For example, the diagram of a part as one embodiment or description feature can with it is another
One embodiment is used together, to obtain further embodiment.Therefore, it is intended that the present invention and covers and wanted in appended right
Seek the modifications and variations carried out in the range of book and its equivalent.
Claims (10)
1. a kind of adaptive educational method based on artificial intelligence, which comprises the following steps:
S1, the study situation of student is evaluated and tested, forms test report；
S2, the test report is assessed, forms diagnostic analysis report；
S3, it is reported based on the diagnostic analysis, obtains the knowledge point that the needs of the student learn；
S4, the knowledge point learnt according to the needs, generate individualized learning scheme；
S5, according to the individualized learning scheme, teach the student to learn；And
S6, the individualized learning scheme is dynamically adjusted in learning process.
2. the adaptive educational method according to claim 1 based on artificial intelligence, which is characterized in that step S2 is further
The following steps are included:
S21, the test report is collected；
S22, the test content in the test report is resolved into multiple knowledge points, to be diagnosed to be the advantageous point of the student
With weak tendency point；
S23, it is based on the multiple knowledge point, sorts out the knowledge point group of grasp of the student and does not grasp knowledge point group；With
And
Grasped described in S24, extraction knowledge point group and it is described do not grasp knowledge point group, form diagnostic analysis report.
3. the adaptive educational method according to any one of the preceding claims based on artificial intelligence, which is characterized in that
Step S3 is further included steps of
S31, the dismantling of knowledge point group is not grasped at multiple do not grasp knowledge point by described；
S32, for knowledge point is not grasped described in each, lateral classification is carried out, to carry out account classification；And
S33, for knowledge point is not grasped described in each, carry out longitudinal classification, need to learn to obtain the described of the student
The knowledge point of habit.
4. the adaptive educational method according to any one of the preceding claims based on artificial intelligence, which is characterized in that
Step S4 is further included steps of
S41, it analyzes the importance ratio for needing the knowledge point learnt in laterally sorted sequence and needs to learn
Time, obtain horizontal analysis result；
S42, it analyzes the importance ratio for needing the knowledge point learnt in longitudinal sorted sequence and needs to learn
Time, obtain vertical analysis result；And
S43, according to the horizontal analysis result and the vertical analysis as a result, generating the individualized learning scheme.
5. the adaptive educational method according to any one of the preceding claims based on artificial intelligence, which is characterized in that
Step S6 is further included steps of
S61, in learning process, the study situation of student described in dynamic analysis, formed dynamic analysis result；And
S62, according to the dynamic analysis result, routine adjustment knowledge point path and difficulty of knowledge points, so as to adjust the individual character
Change Learning Scheme.
6. the adaptive educational method according to any one of the preceding claims based on artificial intelligence, it is characterised in that:
Step S1-S6 is repeated, until the student completes learning objective.
7. a kind of adaptive educational system based on artificial intelligence, including control centre, teacher side, student side, which is characterized in that
Further include:
The interim assessment unit evaluated and tested is learnt to student；
The learning evaluation unit that student's study schedule situation is assessed；
The learning path customization units of individualized learning scheme are formulated according to student's study schedule difference；And
Store the knowledge storing unit for covering entire padagogical knowledge system；
Wherein, the control centre respectively with the teacher side, the student side, the assessment unit, the learning evaluation list
First, the described learning path customization units, knowledge storing unit connection；
The teacher side intervenes dynamic learning process, monitoring student's situation, emotional exchange for teaching knowledge, in real time；And
The student side is for receiving knowledge, feedback learning problem.
8. adaptive educational system according to claim 7, which is characterized in that the learning evaluation unit includes:
For capturing student's learning dynamics data collection module of student's learning dynamics data；
For diagnosing student's learning dynamics data analysis module of study advantageous point and weak tendency point；And
Student's learning dynamics data processing module for online processing study advantageous point and weak tendency point.
9. adaptive educational system according to any one of the preceding claims, which is characterized in that the learning path is fixed
Unit processed includes:
The study schedule that information for coming to assessment unit and the transmission of student's learning dynamics data processing module is integrated is dynamic
State analysis module；
Learning path dynamic for real-time regularized learning algorithm weakness knowledge point adjusts module；And
For adjusting the learning difficulty real-time monitoring module of knowledge point complexity in real time.
10. the adaptive educational system according to any one of the preceding claims based on artificial intelligence, which is characterized in that
The knowledge storing unit includes:
Knowledge point categorization module, the knowledge point categorization module have laterally classification and longitudinal classification, and laterally classification includes difference
Section's purpose knowledge point, is longitudinally classified as the knowledge point that can be traced to its source in same subject；
Knowledge point sorting module, the knowledge point sorting module are known for being divided into knowledge point to have grasped knowledge point group and do not grasped
Know point group；And
Knowledge point extraction module, the knowledge that the knowledge point extraction module is needed for extracting student side from knowledge storing unit
Point.
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| CN113778454A (en) * | 2021-09-22 | 2021-12-10 | 重庆海云捷迅科技有限公司 | Automatic evaluation method and system for artificial intelligence experiment platform |
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| CN113778454A (en) * | 2021-09-22 | 2021-12-10 | 重庆海云捷迅科技有限公司 | Automatic evaluation method and system for artificial intelligence experiment platform |
| CN113778454B (en) * | 2021-09-22 | 2024-02-20 | 重庆海云捷迅科技有限公司 | Automatic evaluation method and system for artificial intelligent experiment platform |
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