CN108877363A - A kind of artificial intelligence assisted teaching system - Google Patents
A kind of artificial intelligence assisted teaching system Download PDFInfo
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- CN108877363A CN108877363A CN201810760435.4A CN201810760435A CN108877363A CN 108877363 A CN108877363 A CN 108877363A CN 201810760435 A CN201810760435 A CN 201810760435A CN 108877363 A CN108877363 A CN 108877363A
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
- G09B7/02—Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
- G09B7/04—Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student characterised by modifying the teaching programme in response to a wrong answer, e.g. repeating the question, supplying a further explanation
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Abstract
The present invention relates to a kind of artificial intelligence assisted teaching systems, including：First acquisition module,Identification module,Analysis module,Feedback module,Second acquisition module,Analysis module is connected with data module,Analysis module judges whether student's answer is correct according to standard answer,And to student answer knowledge point derivation direction and derive mode analyze,Analysis module contacts the rational judgement in derivation direction for carrying out the knowledge point of wrong answer according to knowledge point,Analysis module carries out the analysis that mistake answers the derivation mode of the corresponding knowledge point correctly answered simultaneously,Assisted teaching system further includes analog module,The simulation for the problem of derivation mode and the utilization of knowledge point that analog module answers the corresponding knowledge point correctly answered according to the mistake that analysis module is analyzed are carried out with the knowledge point,Analog case is fed back to the second acquisition module by feedback module,Second acquisition module is acquired according to the supplement that the problem of feedback carries out examination question.
Description
Technical field
The present invention relates to Internet education field more particularly to a kind of artificial intelligence assisted teaching systems.
Background technique
Currently, computer application penetrates into each in people's lives and work in today of internet fast development
Field, these applications can be used for solving the problems, such as between individual subscriber service, user some part in business or management process, also
It can be used for solving the problems, such as through business or the management trail of management activity between user and user, such as logistics, cash flow.
But the business of every field had not only connected each other but also interdependence, so, in each field between computer application software
Function and data should not be it is isolated, should be related with the business relations between each field, for example, each application software is formed
Upstream-downstream relationship is to needing shared data, for another example, to some aspects of application be extended can and other application
Common management data etc..Especially in teaching field, the shared of teaching data can make quality of instruction be greatly improved.
In teaching process, teacher generally requires targetedly to be imparted knowledge to students for the link of students weakness, but needle
The weak link of a large amount of students is counted and often spends great energy, and can not be for the different weak of different students
Link is effectively sorted, and can not accomplish maximally utilizing for time in classroom.
Summary of the invention
Goal of the invention：
For in teaching process, teacher generally requires targetedly to be imparted knowledge to students for the link of students weakness, but needle
The weak link of a large amount of students is counted and often spends great energy, and can not be for the different weak of different students
Link is effectively sorted, and can not accomplish the problem of maximally utilizing of time in classroom, and the present invention provides a kind of artificial intelligence
Assisted teaching system.
Technical solution：
A kind of artificial intelligence assisted teaching system, including：First acquisition module, identification module, analysis module, feedback module,
Two acquisition modules, student's examination question, first acquisition module are used to acquire for the student identification module for identification
The student of examination question answers and standard answer,
The analysis module is used to carry out the judgement that student learns situation according to student answer and standard answer, described anti-
Feedback module is used to carry out adopting for similar examination question according to the data feedback for carrying out data feedback, second acquisition module
Collection, the analysis module are connected with data module, and the data module is used for stored knowledge point and knowledge point connection, institute
State analysis module according to standard answer judge student answer it is whether correct, and to student answer knowledge point derivation direction and
Derivation mode is analyzed, and the analysis module carries out the derivation of the knowledge point of the mistake answer according to knowledge point connection
The rational judgement in direction, the analysis module carry out the derivation that the mistake answers the corresponding knowledge point correctly answered simultaneously
The analysis of mode, the assisted teaching system further include analog module, and the analog module connects the analysis module and anti-
Module is presented, the analog module answers the corresponding knowledge point correctly answered according to the mistake that the analysis module is analyzed
The simulation for the problem of utilization of derivation mode and the knowledge point is carried out with the knowledge point, the feedback module is by the mould
Quasi- situation feeds back to the second acquisition module, and second acquisition module is adopted according to the supplement for carrying out examination question the problem of the feedback
Collection.
As a kind of preferred embodiment of the invention, for the derivation mode of the knowledge point, the analysis module is according to institute
State the analysis that the excessive means in knowledge point carry out derivation mode.
As a kind of preferred embodiment of the invention, the analog module is carried out on the basis of the derivation mode of the knowledge point
The simulation of the derivation mode of answer is simultaneously further simulated the problem of using the knowledge point by the derivation mode of the answer.
As a kind of preferred embodiment of the invention, when the analysis module judges the derivation of the knowledge point of the mistake answer
When direction is reasonable, the assisted teaching system enters the analog module and is solved according to the mistake that the analysis module is analyzed
The problem of utilization of the derivation mode and the knowledge point of answering the corresponding knowledge point correctly answered is carried out with the knowledge point
Simulation process.
As a kind of preferred embodiment of the invention, when the analysis module judges the derivation of the knowledge point of the mistake answer
When direction is unreasonable, the analysis module carries out analysis of Mistaken Area, and the analog module carries out corresponding according to the analysis of Mistaken Area
The simulation of problem, the assisted teaching system are still solved into the analog module according to the mistake that the analysis module is analyzed
The problem of utilization of the derivation mode and the knowledge point of answering the corresponding knowledge point correctly answered is carried out with the knowledge point
Simulation process.
As a kind of preferred embodiment of the invention, the analysis of Mistaken Area is the canonical analysis according to the knowledge point.
It further include statistical module as a kind of preferred embodiment of the invention, the statistical module is used for for institute in region
It states the same class that analysis module analyzes and derives direction and derive mode and counted, described point of the statistical module connection
Analyse module.
As a kind of preferred embodiment of the invention, the analysis module to derivation direction and is pushed away according to the statistical module
The statistics for leading mode carries out the combing of knowledge point structure power in region, and the analog module is according to the comb of the knowledge point structure
Carry out problem simulation is managed, second acquisition module simulates according to described problem and carries out examination question acquisition.
The present invention realizes following beneficial effect：
Using assisted teaching system of the invention, the targetedly content of courses can be carried out for the link of students weakness and sieved
Choosing, and counted for the weak link of a large amount of students, it is effectively sorted to different weak links, reduces religion
The operating pressure of teacher, and teacher can be made to accomplish maximally utilizing for time in classroom.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows the implementation for meeting the disclosure
Example, and consistent with the instructions for explaining the principles of this disclosure.
Fig. 1 is system framework figure；
Fig. 2 is one block diagram of embodiment；
Fig. 3 is two block diagram of embodiment；
Fig. 4 is three block diagram of embodiment.
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.
Embodiment one：
It is Fig. 1, Fig. 2 with reference to figure.A kind of artificial intelligence assisted teaching system, including：First acquisition module 1, divides identification module 2
Analyse module 3, feedback module 4, the second acquisition module 5, the identification module 2 student's examination question for identification, the first acquisition mould
Block 1 is used to acquire the student's answer and standard answer for student's examination question, and the analysis module 3 is used for according to the student
Answer and standard answer carry out the judgement that student learns situation, and the feedback module 4 is for carrying out data feedback, and described second
Acquisition module 5 is used to carry out the acquisition of similar examination question according to the data feedback, and the analysis module 3 is connected with data module 6,
The data module 6 is used for stored knowledge point and knowledge point connection, the analysis module 3 judge to learn according to standard answer
Whether raw answer is correct, and derivation direction to the knowledge point of student's answer and derives mode and analyze, the analysis mould
Block 3 carries out the rational judgement in derivation direction of the knowledge point of the mistake answer, the analysis according to knowledge point connection
Module 3 carries out the analysis that the mistake answers the derivation mode of the corresponding knowledge point correctly answered, the aided education simultaneously
System further includes analog module 7, and the analog module 7 connects the analysis module 3 and feedback module 4, the analog module 7
The derivation mode of the corresponding knowledge point correctly answered is answered according to the obtained mistake of the analysis module 3 analysis and described is known
The utilization for knowing point carries out the simulation for the problem of using the knowledge point, and the analog case is fed back to second by the feedback module 4
Acquisition module 5, second acquisition module 5 are acquired according to the supplement for carrying out examination question the problem of the feedback.
As a kind of preferred embodiment of the invention, for the derivation mode of the knowledge point, the analysis module 3 is according to institute
State the analysis that the excessive means in knowledge point carry out derivation mode.
As a kind of preferred embodiment of the invention, the analog module 7 on the basis of the derivation mode of the knowledge point into
The simulation of the derivation mode of row answer is simultaneously further simulated the problem of using the knowledge point by the derivation mode of the answer.
In the specific implementation process, identification module 2 is after identifying student's examination question, and the first acquisition module 1 is according to student's examination question
The student uploaded in acquisition system answers and acquires all standard answer modes of the examination question in internet, and analysis module 3 is sentenced
Break under the examination question, student answers one of answer method of corresponding standard answer, and analyzes answer method use
Knowledge point, according to each step of answer, analysis module 3 is according to knowledge between each step of causality progress between each step
The judgement in the derivation direction between point, meanwhile, analysis module 3 carries out derivation mode according to knowledge point transition form in committed step
Analysis, derivation mode are the skill used in derivation process, such as：The substitution of variable in series expansion, physics in mathematics
Etc..Meanwhile analysis module 3 answers the derivation direction of step content progress student's answer also according to student and derives mode
Judgement.When analysis module 3 judge student answer knowledge point derive direction stored in data module 6 knowledge point connection in have
Identical connection situation then judges student the problem of problem present on the knowledge point is derivation mode, and analysis module 3 will be learned
The derivation mode of raw answer and the derivation mode of standard answer compare, and judge the erroneous point of the derivation mode of student's answer
And the derivation mode of the corresponding standard answer of the erroneous point, at this point, the derivation mode is as the core for solving student's study loophole
Heart problem, according to the operation strategies of the knowledge point in the derivation mode and data module 6, analog module 7 known using this
Analog case is fed back to the second acquisition module 5 by the simulation for the problem of knowing point and the derivation mode, feedback module 4, and second adopts
Collect module 5 and acquires supplement of the similar problem as entity in internet.
Embodiment two：
It is Fig. 1, Fig. 3 with reference to figure.As a kind of preferred embodiment of the invention, when the analysis module 3 judges the mistake answer
Knowledge point derivation direction be it is reasonable when, the assisted teaching system enter the analog module 7 according to the analysis module 3
The mistake that analysis obtains answers the derivation mode of the corresponding knowledge point correctly answered and the utilization of the knowledge point is transported
The process of the simulation of the problem of with the knowledge point.
As a kind of preferred embodiment of the invention, when the analysis module 3 judges pushing away for the knowledge point of the mistake answer
Lead direction it is unreasonable when, the analysis module 3 carries out analysis of Mistaken Area, and the analog module 7 carries out phase according to the analysis of Mistaken Area
The simulation for the problem of answering, what the assisted teaching system was still obtained into the analog module 7 according to the analysis module 3 analysis
Mistake answers the derivation mode of the corresponding knowledge point correctly answered and the utilization of the knowledge point is carried out with the knowledge point
The problem of simulation process.
As a kind of preferred embodiment of the invention, the analysis of Mistaken Area is the canonical analysis according to the knowledge point.
In the specific implementation process, it when the derivation direction of the knowledge point of the misjudgment answer of analysis module 3 is reasonable, carries out
Step described in embodiment one；When the derivation direction of the knowledge point of the misjudgment answer of analysis module 3 is not present in data mould
When in the connection of the knowledge point stored in block 6, analysis module 3 judges that the mistake answer derivation direction of student is unreasonable, this time-division
Analysis module 3 judges that the key problem of student is grasped for the basis for knowledge point, and analysis module 3 is according to the mistake for the knowledge point
Accidentally allusion quotation example carries out the analysis that knowledge point derives direction, and it is corresponding that analog module 7 analyzes obtained mistake answer according to analysis module 3
Correct used knowledge point derivation direction of answering carries out problem simulation, and analog result is synchronized to the second acquisition by feedback module 4
Module 5, the second acquisition module 5 carry out the supplement of examination question according to the simulation of problem.Problem mould is carried out deriving direction to knowledge point
After quasi-, system still carries out the examination question for deriving mode to knowledge point described in embodiment one and supplements process.
Embodiment three：
It is Fig. 1, Fig. 4 with reference to figure.It further include statistical module as a kind of preferred embodiment of the invention, the statistical module is used for
The same class derivation direction and derivation mode obtained for analysis module 3 described in region analysis is counted, the statistics
Module connects the analysis module 3.
As a kind of preferred embodiment of the invention, the analysis module 3 according to the statistical module to derive direction and
The statistics of derivation mode carries out the combing of knowledge point structure power in region, and the analog module 7 is according to the knowledge point structure
Combing carry out problem simulation, second acquisition module 5 according to described problem simulate carry out examination question acquisition.
In the specific implementation process, under the result based on embodiment one and embodiment two, statistical module counts are all
Resolvant that different students occurs under the same examination question, different examination question in analysis module 3 and the problem of derive direction,
And of a sort problem is merged into statistics, and then carry out accounting of every a kind of problem in Issue Totals, 3 basis of analysis module
Accounting carries out knowledge point structure power combing in a part of student region, and analog module 7 carries out needle for knowledge point weak link
Property is simulated, the second acquisition module 5 carries out examination question acquisition according to the simulation of analog module 7.
The above embodiments merely illustrate the technical concept and features of the present invention, and the purpose is to allow the skill for being familiar with the technical field
Art personnel can understand the content of the present invention and implement it accordingly, and can not be limited the scope of the invention with this.All bases
Equivalent changes or modifications made by spirit of the invention, should be covered by the protection scope of the present invention.
Claims (8)
1. a kind of artificial intelligence assisted teaching system, including：First acquisition module, identification module, analysis module, feedback module,
Second acquisition module, student's examination question, first acquisition module are used to acquire for the identification module for identification
The student's answer and standard answer of raw examination question, the analysis module are used for according to student answer and standard answer
The judgement of raw study situation, the feedback module are used for for carrying out data feedback, second acquisition module according to the number
The acquisition of similar examination question is carried out according to feedback, it is characterised in that：The analysis module is connected with data module, and the data module is used
It is used in stored knowledge point and knowledge point contacts, the analysis module judges whether student's answer is correct according to standard answer,
And to student answer knowledge point derivation direction and derive mode analyze, the analysis module is according to the knowledge point
Connection carries out the rational judgement in derivation direction of the knowledge point of the mistake answer, and the analysis module carries out the mistake simultaneously
Misread the analysis for answering the derivation mode of the corresponding knowledge point correctly answered, the assisted teaching system further includes analog module,
The analog module connects the analysis module and feedback module, the analog module are analyzed to obtain according to the analysis module
Mistake answer the derivation mode of the corresponding knowledge point correctly answered and the utilization of the knowledge point is carried out with the knowledge
The analog case is fed back to the second acquisition module, second acquisition module by the simulation of the problem of point, the feedback module
According to the supplement acquisition for carrying out examination question the problem of the feedback.
2. a kind of artificial intelligence assisted teaching system according to claim 1, it is characterised in that：For the knowledge point
Derivation mode, the analysis module carry out the analysis of derivation mode according to the excessive means in the knowledge point.
3. a kind of artificial intelligence assisted teaching system according to claim 2, it is characterised in that：The analog module is with institute
State the simulation for the derivation mode that answer is carried out on the basis of the derivation mode of knowledge point and further by the derivation mode of the answer
The problem of simulation is with the knowledge point.
4. a kind of artificial intelligence assisted teaching system according to claim 1, it is characterised in that：When the analysis module is sentenced
Break it is described mistake answer knowledge point derivation direction be it is reasonable when, the assisted teaching system enter the analog module according to
The mistake that the analysis module is analyzed answer the corresponding knowledge point correctly answered derivation mode and the knowledge point
Utilization the problem of carrying out with the knowledge point simulation process.
5. a kind of artificial intelligence assisted teaching system according to claim 1, it is characterised in that：When the analysis module is sentenced
When the derivation direction of the knowledge point for the mistake answer of breaking is unreasonable, the analysis module carries out analysis of Mistaken Area, the simulation mould
Root tuber carries out the simulation of corresponding problem according to the analysis of Mistaken Area, the assisted teaching system still enter the analog module according to
The mistake that the analysis module is analyzed answer the corresponding knowledge point correctly answered derivation mode and the knowledge point
Utilization the problem of carrying out with the knowledge point simulation process.
6. a kind of artificial intelligence assisted teaching system according to claim 5, it is characterised in that：The analysis of Mistaken Area is root
According to the canonical analysis of the knowledge point.
7. a kind of artificial intelligence assisted teaching system according to claim 1, it is characterised in that：It further include statistical module,
The same class that the statistical module is used to analyze for the analysis module in region derive direction and derive mode into
Row statistics, the statistical module connect the analysis module.
8. a kind of artificial intelligence assisted teaching system according to claim 7, it is characterised in that：The analysis module according to
The statistical module carries out the combing of knowledge point structure power in region, the mould to the statistics for deriving direction and derivation mode
Quasi- module carries out problem simulation according to the combing of the knowledge point structure, second acquisition module according to described problem simulate into
The acquisition of row examination question.
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| CN201810760435.4A CN108877363A (en) | 2018-07-12 | 2018-07-12 | A kind of artificial intelligence assisted teaching system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810760435.4A CN108877363A (en) | 2018-07-12 | 2018-07-12 | A kind of artificial intelligence assisted teaching system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110570702A (en) * | 2019-08-02 | 2019-12-13 | 苏州承儒信息科技有限公司 | Intelligent teaching system based on bifurcation analysis and working method thereof |
| CN111932418A (en) * | 2020-09-09 | 2020-11-13 | 中山大学深圳研究院 | Student learning condition identification method and system, teaching terminal and storage medium |
-
2018
- 2018-07-12 CN CN201810760435.4A patent/CN108877363A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110570702A (en) * | 2019-08-02 | 2019-12-13 | 苏州承儒信息科技有限公司 | Intelligent teaching system based on bifurcation analysis and working method thereof |
| CN111932418A (en) * | 2020-09-09 | 2020-11-13 | 中山大学深圳研究院 | Student learning condition identification method and system, teaching terminal and storage medium |
| CN111932418B (en) * | 2020-09-09 | 2021-01-15 | 中山大学深圳研究院 | Student learning condition identification method and system, teaching terminal and storage medium |
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Application publication date: 20181123 |