CN109977236A - Realize the artificial intelligence tutoring system of repetitive learning - Google Patents
Realize the artificial intelligence tutoring system of repetitive learning Download PDFInfo
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Abstract
The invention discloses a kind of artificial intelligence tutoring systems for realizing repetitive learning comprising: interactive module, exam pool module, Teaching Module, composition module, detection module, determination module revise module and pushing module.Interactive module is for realizing user's remote interaction；Exam pool module is for storing test question；Teaching Module is for storing resources material；Composition module is used for stored knowledge point map；Detection module is exported for transferring test question to interactive module；Determination module is used to grasp to knowledge point/judgement is not grasped；The connection of revision module is for will be determined as that the knowledge point grasped is deleted from composition module；Pushing module is used to recycle to read knowledge point and transfer corresponding resources material along knowledge point map and export to interactive module.The present invention can delete for the profile of student and answer feedback and select the knowledge point for needing repetitive learning, guarantee that the time is concentrated in together the knowledge point captured and not yet grasped by student during repetitive learning, improve learning efficiency.
Description
Technical field
The invention belongs to online data interaction technique fields, relate in particular to a kind of artificial intelligence for realizing repetitive learning
Tutoring system.
Background technique
In existing artificial intelligence tutoring system, common teaching procedure is passed through after having taught first knowledge point
Practice continues to learn subsequent knowledge point after being consolidated, and indicates that it fails preferably to rest in when the test result of student is bad
When first knowledge point, needs to consolidate first first knowledge point at this time and had an impact to avoid to subsequent study.It is existing to consolidate mode
Be will test the relevant knowledge point of topic carry out it is whole learn again, this method the problem is that: whole repetitive learning lacks
Weary specific aim, learning efficiency is not high, learning effect is poor, while can not also obtain the feedback of secondary learning effect in time.Cause
How this, develop a kind of novel artificial intelligence tutoring system, can overcome the above problem, be those skilled in the art's needs
The direction of research.
Summary of the invention
The object of the present invention is to provide a kind of artificial intelligence tutoring systems for realizing repetitive learning, can be for of student
People's ability and answer feedback delete and select the knowledge point for needing repetitive learning, guarantee that student will concentrate the time during repetitive learning
The knowledge point not yet grasped is captured together, is improved learning efficiency.
The technical scheme adopted is as follows:
A kind of artificial intelligence tutoring system for realizing repetitive learning comprising: interactive module, exam pool module, Teaching Module,
Composition module, detection module, determination module revise module and pushing module.The interactive module is for realizing the long-range of user
Access and information exchange；The exam pool module is used for the corresponding test question of stored knowledge point；The Teaching Module is known for storing
Know the corresponding resources material of point；The composition module is used for stored knowledge point map, and the knowledge point map is by knowledge to be measured
Point is constituted；The detection module be separately connected exam pool module, composition module and interactive module, for from composition module select to
Simultaneously the corresponding test question in the knowledge point to be measured is transferred from exam pool module export to interactive module in the knowledge point of survey；It is described
Determination module connection interactive module, the answer answer for receiving the test question that interactive module is fed back simultaneously are answered based on described
Topic answer carries out the judgement grasped/do not grasped to the corresponding knowledge point of the test question；The revision module connects determination module
With composition module, for when determination module is judged to grasping to the knowledge point, by the corresponding knowledge point of the test question from
It is deleted in composition module；The pushing module connection Teaching Module, composition module and interactive module, for reading in composition module
Knowledge point to be measured and transfer the corresponding resources material in the knowledge point from Teaching Module and export to interactive module.
By using this technical solution, the course of work is as follows: detection module reads composition module, presses knowledge point map
Sequentially, the test question of each knowledge point is sequentially pushed into interactive module from exam pool module.Student login interactive module carries out
Answer, the answer feed back to determination module, and determination module judges grasp of the student to each knowledge point according to answer feedback
Situation revises module for the knowledge point grasped to deleting in composition module, then sequentially reads in composition module and not yet delete
Each knowledge point, the resources material that pushing module transfers these not deleted knowledge points exports to interactive module, and student is enabled to exist
Interactive module carries out repetitive learning.The above process is recycled, until all knowledge points in composition module are all deleted.
Preferably, in the artificial intelligence tutoring system of above-mentioned realization repetitive learning: further including writing module, said write
Module connects composition module, for knowledge point to be written to composition module.
By using this technical solution: being realized with writing module and treat the write-in and adjustment of surveying knowledge point, it is ensured that is each
Mutual alignment of a knowledge point in knowledge mapping ensure that sequence circulation reads reasonable detection ordering.
It is further preferred that in the artificial intelligence tutoring system of above-mentioned realization repetitive learning: further including labeling module and screening
Module；The labeling module connects writing module, for marking difficulty value to each knowledge point being written in composition module；The sieve
Modeling block connection interactive module and detection module, for read interactive module input ability value and control detection module from structure
Difficulty value is preferentially selected in module and is equal to the knowledge point to be measured of ability value, and is transferred from exam pool module described to be measured
The corresponding test question in knowledge point is exported to interactive module.
By using this technical solution: according to the personal considerations of student, difficulty selected first is suitable with its learning ability
Knowledge point preferentially tested, incremental remaining knowledge point of test, improves the specific aim and efficiency of test after the completion.
Compared with prior art, the present invention can delete for the profile of student and answer feedback and select needs repetition
The knowledge point of habit guarantees that student captures the knowledge point not yet grasped time of concentration during repetitive learning, improves student's
Learning efficiency.
Detailed description of the invention
Present invention will now be described in further detail with reference to the accompanying drawings and specific embodiments:
Fig. 1 is the structural schematic diagram of embodiment 1；
Each appended drawing reference and component names corresponding relationship are as follows:
1, interactive module；2, exam pool module；3, Teaching Module；4, composition module；5, detection module；6, determination module；7,
Revise module；8, pushing module；9, writing module；10, labeling module；11, screening module.
Specific embodiment
In order to illustrate more clearly of technical solution of the present invention, it is further described below in conjunction with each embodiment.
It is as shown in Figure 1 embodiment 1, its technical solution is as follows:
A kind of artificial intelligence tutoring system for realizing repetitive learning comprising: interactive module 1, exam pool module 2, mould of imparting knowledge to students
Block 3, composition module 4, detection module 5, determination module 6 revise module 7, pushing module 8, writing module 9,10 He of labeling module
Screening module 11.
Wherein, the interactive module 1 for realizing user remotely access and information exchange；The exam pool module 2 is used for
The corresponding test question of stored knowledge point；The Teaching Module 3 is used for the corresponding resources material of stored knowledge point；The composition module
4 are used for stored knowledge point map, and the knowledge point map is made of knowledge point to be measured；The detection module 5 is separately connected topic
Library module 2, composition module 4 and interactive module (1), for selecting knowledge point to be measured from composition module 4 and from exam pool module
The corresponding test question in the knowledge point to be measured is transferred in 2 to export to interactive module 1；The determination module 6 connects interactive module
1, for receiving the answer answer of the test question of interactive module feedback and based on the answer answer to the test question pair
The knowledge point answered carries out the judgement grasped/do not grasped；The revision module 7 connects determination module 6 and composition module 4, is used for
It is deleted from composition module 4 when determination module 6 is judged to grasping to the knowledge point, by the corresponding knowledge point of the test question；
The pushing module 8 connects Teaching Module 3, composition module 4 and interactive module 1, to be measured knows for read in composition module 4
Know point and transfers the corresponding resources material in the knowledge point from Teaching Module 3 and export to interactive module 1.The write module 9
Composition module 4 is connected, for knowledge point to be written to composition module 4.The labeling module 10 connects writing module 9, for structure
Each knowledge point mark difficulty value being written in module 4；The screening module 10 connects interactive module 1 and detection module 5, is used for
It reads the ability value that interactive module 1 inputs and controls the priority match difficulty value from composition module 4 of detection module 5 and be equal to energy
Simultaneously the corresponding test question in the knowledge point to be measured is transferred from exam pool module 2 export to interaction in the knowledge point to be measured of force value
Module 1.
Embodiment 1:
It is as shown in table 1 below about relevant its difficulty value of each knowledge point of secondary radical:
| Label | Title | Examine frequency | Difficulty |
| c090101 | The concept of secondary radical | 0.5 | 0.2 |
| c090102 | The significant condition of secondary radical | 0.8 | 0.2 |
| c090103 | The property and abbreviation of secondary radical | 0.9 | 0.3 |
| c090203 | The multiplication of secondary radical | 0.7 | 0.4 |
| c090204 | The division of secondary radical | 0.7 | 0.4 |
| c090205 | The multiplication and division of secondary radical | 0.8 | 0.5 |
| c090201 | Most simple secondary radical | 0.9 | 0.6 |
| c090202 | Mould parting design | 0.5 | 0.8 |
| c090301 | Similar secondary radical | 0.6 | 0.6 |
| c090302 | The addition and subtraction of secondary radical | 0.7 | 0.7 |
| c090303 | The hybrid operation of secondary radical | 0.8 | 0.8 |
| c090304 | The abbreviation evaluation of secondary radical | 0.9 | 0.8 |
| c090305 | The application of secondary radical | 0.4 | 0.8 |
Table 1
It is respectively: square root if first round knowledge point to be measured has 7 according to ability value of the student on each knowledge point
The property and abbreviation of formula, the multiplication and division of secondary radical, most simple secondary radical, mould parting design, the hybrid operation of secondary radical, two
The abbreviation evaluation of secondary radical, the application of secondary radical.
Composition knowledge point diagram in composition module 4 is sequentially written into above-mentioned 7 knowledge points by labeling module and writing module
Spectrum, subsequently enters testing process.System push detection examination question.Determine that each knowledge point, filtering out needs based on answer feedback
The knowledge point to learn again, the property and abbreviation of respectively secondary radical, the multiplication and division of secondary radical, most simple secondary radical are secondary
The hybrid operation of radical.
System carries out repetitive learning to above-mentioned each knowledge point push learning materials, while by the property of the secondary radical in knowledge point
With abbreviation, the multiplication and division of secondary radical, the knowledge point that most simple secondary radical etc. has been grasped is removed from the list.Then again into
Enter process, meanwhile, system further pushes knowledge mould parting design, and the abbreviation of the hybrid operation of secondary radical, secondary radical is asked
Value is learnt, and after the completion of study, the hybrid operation association of mould parting design, secondary radical becomes having grasped, and does not grasp knowledge
Point list becomes the abbreviation evaluation of secondary radical, the application of secondary radical.Then it is again introduced into the process, system continues push and knows
Know the abbreviation evaluation of secondary radical, the application of secondary radical is learnt, until all knowledge points become having grasped state, weight
Habit of going back to school terminates.
The above, only specific embodiments of the present invention, but scope of protection of the present invention is not limited thereto, it is any ripe
The technical staff of art technology is known in technical scope disclosed by the invention, any changes or substitutions that can be easily thought of, should all contain
Lid is within protection scope of the present invention.Protection scope of the present invention is subject to the scope of protection of the claims.
Claims (3)
1. a kind of artificial intelligence tutoring system for realizing repetitive learning characterized by comprising
Interactive module (1), the interactive module (1) for realizing user remotely access and information exchange；
Exam pool module (2), the exam pool module (2) are used for the corresponding test question of stored knowledge point；
Teaching Module (3), the Teaching Module (3) are used for the corresponding resources material of stored knowledge point；
Composition module (4), the composition module (4) are used for stored knowledge point map, and the knowledge point map is by knowledge to be measured
Point is constituted；
Detection module (5), the detection module (5) be separately connected exam pool module (2), composition module (4) and interactive module (1),
For corresponding from selecting knowledge point to be measured in composition module (4) and transferring the knowledge point to be measured from exam pool module (2)
Test question export to interactive module (1)；
Determination module (6), determination module (6) connection interactive module (1), the test for receiving interactive module feedback
The answer answer of topic simultaneously carries out the judgement grasped/do not grasped to the corresponding knowledge point of the test question based on the answer answer；
It revises module (7), revision module (7) connection determination module (6) and composition module (4), in determination module (6)
It is deleted from composition module (4) when being judged to grasping to the knowledge point, by the corresponding knowledge point of the test question；
Pushing module (8), pushing module (8) connection Teaching Module (3), composition module (4) and interactive module (1), is used for
It reads the knowledge point to be measured in composition module (4) and transfers the corresponding resources material in the knowledge point simultaneously from Teaching Module (3)
It exports to interactive module (1).
2. realizing the artificial intelligence tutoring system of repetitive learning as described in claim 1, it is characterised in that: further include writing module
(9), the write module (9) connection composition module (4), for knowledge point to be written to composition module (4).
3. realizing the artificial intelligence tutoring system of repetitive learning as claimed in claim 2, it is characterised in that: further include labeling module
(10) and screening module (11)；Labeling module (10) connection writing module (9) is used for write-in in composition module (4)
Each knowledge point marks difficulty value；The screening module (10) connection interactive module (1) and detection module (5), for reading interaction
The ability value of module (1) input simultaneously controls detection module (5) priority match difficulty value from composition module (4) and is equal to ability
Simultaneously the corresponding test question in the knowledge point to be measured is transferred from exam pool module (2) export to interaction in the knowledge point to be measured of value
Module (1).
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| CN110287293A (en) * | 2019-07-08 | 2019-09-27 | 上海乂学教育科技有限公司 | Automatically topic management system is pushed away |
| CN110992741A (en) * | 2019-11-15 | 2020-04-10 | 深圳算子科技有限公司 | Learning auxiliary method and system based on classroom emotion and behavior analysis |
| CN112070882A (en) * | 2020-08-28 | 2020-12-11 | 黄秋英 | Constructor examination learning system based on holographic naked eye 3D projection |
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Application publication date: 20190705 |