CN104966427A - Self-adaptation teaching interaction system and method - Google Patents
Self-adaptation teaching interaction system and method Download PDFInfo
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- CN104966427A CN104966427A CN201510275999.5A CN201510275999A CN104966427A CN 104966427 A CN104966427 A CN 104966427A CN 201510275999 A CN201510275999 A CN 201510275999A CN 104966427 A CN104966427 A CN 104966427A
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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
- G09B5/00—Electrically-operated educational appliances
- G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
- G09B5/14—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations with provision for individual teacher-student communication
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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
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Abstract
The invention discloses a self-adaptation teaching interaction system and method. The self-adaptation teaching interaction system comprises a question questioning and answering module, a study track recording module connected with the question questioning and answering module, a knowledge graph drawing recording module connected with the study track recording module, a question characteristic value matrix mark recording module connected with the question questioning and answering module and the study track recording module, a visualization report generation module connected with the knowledge graph drawing recording module and a study plan generation module connected with the knowledge graph drawing recording module. The method includes the following steps: the question questioning and answering module is used for answering questions, study conditions of students are transmitted to the study track recording module to be recorded, a knowledge graph is formed, questions with appropriate characteristic values are selected, the knowledge graphs are updated, and the questions are optimized. By means of the self-adaptation teaching interaction system and method, valuable screening is carried out according to the characteristic values, the specific questions suitable for exercising the different students are recommended to the different students, and therefore academic records of the students are rapidly improved.
Description
Technical field
The present invention relates to a kind of learning system, particularly a kind of adaptive teaching interaction systems and method, belong to study product technical field.
Background technology
At present, for the learning tasks of student, a large amount of exercise questions is had to practise for student on the net; But the knowledge of each students is different, the exercise question that oneself should learn can not be found fast and accurately; Existing scheme is all by detecting, and by orientation of student to a level, then on this horizontal line, uses template to carry out coupling exercise question, for the actual conditions of student individual, can not comprehensively screen the knowledge point that student truly needs to be grasped; Meanwhile, select template to carry out the exercise question mated at present, feature is relatively fixing, can not according to the answer situation of student, the eigenwert of each dimension of dynamic conditioning exercise question; It is all set a question according to template, a selected template, and system can select some exercise questions at random in the exercise question of a few class, the exercise question that composition template goes out; The exercise question that this mode goes out is more fixing, and relies on very much the artificial classification to exercise question; Be then at some time points to the evaluation and test of student, use limited exercise question to evaluate and test student, provide the knowledge point of students' union and no knowledge point; The evaluation and test of this mode to student is more unilateral, can only analyze for more limited knowledge point.
Summary of the invention
(1) technical matters that will solve
For solving the problem, the present invention proposes a kind of adaptive teaching interaction systems and method, the classification of a large amount of exercise questions is stored, and multiple eigenwert is stamped to it, valuable screening is carried out according to these eigenwerts, with the specific exercise question precisely recommending suitable individual's exercise to different students, to improve the school grade of student fast.
(2) technical scheme
Adaptive teaching interaction systems of the present invention, comprise the exercise question question and answer module for student's answer, and with exercise question question and answer model calling, collect the study track record module of Students ' Learning situation, and with study track record model calling, the knowledge mapping drawing collection of illustrative plates according to Students ' Learning track draws logging modle; And with exercise question question and answer module and learn track record model calling, for storing the exercise question eigenvalue matrix sign logging modle of exercise question and each exercise question eigenwert of mark; And draw logging modle with knowledge mapping and be connected, for generating the visual report generation module of study situation form, and draw logging modle with knowledge mapping and be connected, for generating the study plan generation module of study plan; Described knowledge mapping is drawn logging modle and is connected with exercise question eigenvalue matrix sign logging modle.
Further, inside described exercise question eigenvalue matrix sign logging modle, exercise question is labeled with initialized eigenwert in advance.
The method of adaptive teaching interaction of the present invention, comprises the steps:
The first step, logs in native system, and student uses the answer of exercise question question and answer module, and exercise question question and answer module indicates the exercise question randomly drawing different characteristic value in logging modle from exercise question eigenvalue matrix;
Second step, the study situation of student is delivered to study track record module record by exercise question question and answer module, and the study situation of student is that a concrete exercise question is answered questions or answers mistake, will answer questions and answer wrong by two identifiers separately sign; The eigenwert of this exercise question and corresponding identifier are formed data; Data are delivered to study track record module record;
3rd step, data are delivered to knowledge mapping and are drawn logging modle by study track record module, and knowledge mapping draws the knowledge mapping that logging modle sets up student; What send due to study track record module is the numeric string of eigenwert and corresponding identifier, the indications corresponding according to multiple same eigenwert can form a knowledge mapping;
4th step, according to knowledge mapping, indicates logging modle from exercise question eigenvalue matrix and chooses suitable characteristics value exercise question, and described suitable characteristics value exercise question is that portion is set a question the exercise operation that proportion is directly proportional to error rate; Generate specified scope or FR exercise operation; Student is completed exercise operation and deliver to track record module record;
5th step, the eigenwert of exercise question inside refresh one's knowledge collection of illustrative plates and optimization exercise question eigenvalue matrix sign logging modle; Practise the serial data passed over according to student, collection of illustrative plates of refreshing one's knowledge, meanwhile, the eigenwert indicating exercise question inside logging modle owing to optimizing exercise question eigenvalue matrix pre-sets, and carries out regeneration characteristics value by later stage student answer situation;
6th step, by the visual report of looking report generation CMOS macro cell;
7th step, generates Learning Scheme by study plan generation module or proposes a point plan; According to after the exercise operation scheme that eigenwert and identifier look for approximate multiple students to extract in the 4th step, again run into the scheme of setting a question of the minimum student of character pair value exercise question error rate;
8th step, preserves personal data, when next time logs in, sets a question according to this exercise basis.
Beneficial effect
Compared with prior art, adaptive teaching interaction systems of the present invention and method, can set up knowledge mapping for each student; And can classification and marking eigenwert be carried out to the exercise question in system; Recommend adaptive personalized exercise question to every student according to knowledge mapping; Done the track inscribed simultaneously by student, improve the knowledge mapping of student; Fed back by the topic of doing of student, carry out the eigenwert of automatic dynamic optimization adjustment exercise question, make it tend towards stability; With better by other similar students are used; By the analogy of knowledge mapping, by sample preferential for a learning efficiency, the student of other similar knowledge mapping can be copied in addition, improve the overall school Efficiency of this type student.
Accompanying drawing explanation
Fig. 1 is adaptive teaching interaction systems structured flowchart of the present invention.
Embodiment
Adaptive teaching interaction systems as shown in Figure 1, comprise the exercise question question and answer module for student's answer, and with exercise question question and answer model calling, collect the study track record module of Students ' Learning situation, and with study track record model calling, the knowledge mapping drawing collection of illustrative plates according to Students ' Learning track draws logging modle; And with exercise question question and answer module and learn track record model calling, for storing the exercise question eigenvalue matrix sign logging modle of exercise question and each exercise question eigenwert of mark; And draw logging modle with knowledge mapping and be connected, for generating the visual report generation module of study situation form, and draw logging modle with knowledge mapping and be connected, for generating the study plan generation module of study plan; Described knowledge mapping is drawn logging modle and is connected with exercise question eigenvalue matrix sign logging modle.
Wherein, inside described exercise question eigenvalue matrix sign logging modle, exercise question is labeled with initialized eigenwert in advance; Eigenwert can be the ken corresponding to exercise question, knowledge point chapters and sections, difficulty or ease grade and topic type etc.;
The method of adaptive teaching interaction of the present invention, comprises the steps:
The first step, logs in native system, and student uses the answer of exercise question question and answer module, and exercise question question and answer module indicates the exercise question randomly drawing different characteristic value in logging modle from exercise question eigenvalue matrix;
Second step, the study situation of student is delivered to study track record module record by exercise question question and answer module, and the study situation of student is that a concrete exercise question is answered questions or answers mistake, will answer questions and answer wrong by two identifiers separately sign; The eigenwert of this exercise question and corresponding identifier are formed data; Data are delivered to study track record module record;
3rd step, data are delivered to knowledge mapping and are drawn logging modle by study track record module, and knowledge mapping draws the knowledge mapping that logging modle sets up student; What send due to study track record module is the numeric string of eigenwert and corresponding identifier, the indications corresponding according to multiple same eigenwert can form a knowledge mapping;
4th step, according to knowledge mapping, indicates logging modle from exercise question eigenvalue matrix and chooses suitable characteristics value exercise question, and described suitable characteristics value exercise question is that portion is set a question the exercise operation that proportion is directly proportional to error rate; Generate specified scope or FR exercise operation; Student is completed exercise operation and deliver to track record module record;
5th step, the eigenwert of exercise question inside refresh one's knowledge collection of illustrative plates and optimization exercise question eigenvalue matrix sign logging modle; Practise the serial data passed over according to student, collection of illustrative plates of refreshing one's knowledge, meanwhile, the eigenwert indicating exercise question inside logging modle owing to optimizing exercise question eigenvalue matrix pre-sets, and carries out regeneration characteristics value by later stage student answer situation;
6th step, by the visual report of looking report generation CMOS macro cell;
7th step, generates Learning Scheme by study plan generation module or proposes a point plan; According to after the exercise operation scheme that eigenwert and identifier look for approximate multiple students to extract in the 4th step, again run into the scheme of setting a question of the minimum student of character pair value exercise question error rate;
8th step, preserves personal data, when next time logs in, sets a question according to this exercise basis.
Embodiment recited above is only be described the preferred embodiment of the present invention, not limits the spirit and scope of the present invention.Under the prerequisite not departing from design concept of the present invention; the various modification that this area ordinary person makes technical scheme of the present invention and improvement; all should drop into protection scope of the present invention, the technology contents of request protection of the present invention, all records in detail in the claims.
Claims (3)
1. an adaptive teaching interaction systems, it is characterized in that: comprise the exercise question question and answer module for student's answer, and with exercise question question and answer model calling, collect the study track record module of Students ' Learning situation, and with study track record model calling, the knowledge mapping drawing collection of illustrative plates according to Students ' Learning track draws logging modle; And with exercise question question and answer module and learn track record model calling, for storing the exercise question eigenvalue matrix sign logging modle of exercise question and each exercise question eigenwert of mark; And draw logging modle with knowledge mapping and be connected, for generating the visual report generation module of study situation form, and draw logging modle with knowledge mapping and be connected, for generating the study plan generation module of study plan; Described knowledge mapping is drawn logging modle and is connected with exercise question eigenvalue matrix sign logging modle.
2. according to the adaptive teaching interaction systems shown in claim 1, it is characterized in that: inside described exercise question eigenvalue matrix sign logging modle, exercise question is labeled with initialized eigenwert in advance.
3. a method for adaptive teaching interaction, is characterized in that: described method comprises the steps:
The first step, logs in native system, and student uses the answer of exercise question question and answer module, and exercise question question and answer module indicates the exercise question randomly drawing different characteristic value in logging modle from exercise question eigenvalue matrix;
Second step, the study situation of student is delivered to study track record module record by exercise question question and answer module, and the study situation of student is that a concrete exercise question is answered questions or answers mistake, will answer questions and answer wrong by two identifiers separately sign; The eigenwert of this exercise question and corresponding identifier are formed data; Data are delivered to study track record module record;
3rd step, data are delivered to knowledge mapping and are drawn logging modle by study track record module, and knowledge mapping draws the knowledge mapping that logging modle sets up student; What send due to study track record module is the numeric string of eigenwert and corresponding identifier, the indications corresponding according to multiple same eigenwert can form a knowledge mapping;
4th step, according to knowledge mapping, indicates logging modle from exercise question eigenvalue matrix and chooses suitable characteristics value exercise question, and described suitable characteristics value exercise question is that portion is set a question the exercise operation that proportion is directly proportional to error rate; Generate specified scope or FR exercise operation; Student is completed exercise operation and deliver to track record module record;
5th step, the eigenwert of exercise question inside refresh one's knowledge collection of illustrative plates and optimization exercise question eigenvalue matrix sign logging modle; Practise the serial data passed over according to student, collection of illustrative plates of refreshing one's knowledge, meanwhile, the eigenwert indicating exercise question inside logging modle owing to optimizing exercise question eigenvalue matrix pre-sets, and carries out regeneration characteristics value by later stage student answer situation;
6th step, by the visual report of looking report generation CMOS macro cell;
7th step, generates Learning Scheme by study plan generation module or proposes a point plan; According to after the exercise operation scheme that eigenwert and identifier look for approximate multiple students to extract in the 4th step, again run into the scheme of setting a question of the minimum student of character pair value exercise question error rate;
8th step, preserves personal data, when next time logs in, sets a question according to this exercise basis.
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Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105512349A (en) * | 2016-02-23 | 2016-04-20 | 首都师范大学 | Question and answer method and question and answer device for adaptive learning of learners |
| CN106503172A (en) * | 2016-10-25 | 2017-03-15 | 天闻数媒科技（湖南）有限公司 | The method and apparatus that learning path recommended by knowledge based collection of illustrative plates |
| CN107665473A (en) * | 2016-07-27 | 2018-02-06 | 科大讯飞股份有限公司 | Learning path planning method and device |
| CN108830755A (en) * | 2018-05-10 | 2018-11-16 | 杭州恒生数字设备科技有限公司 | A kind of learning diagnosis system of the easy-operating knowledge based map of low cost |
| CN109191929A (en) * | 2018-09-25 | 2019-01-11 | 上海优谦智能科技有限公司 | The intellectual education system of knowledge based map |
| CN109242736A (en) * | 2018-09-27 | 2019-01-18 | 广东小天才科技有限公司 | A kind of method and system for the study situation for assisting teacher to understand student |
| CN109255998A (en) * | 2018-10-25 | 2019-01-22 | 杭州数理大数据技术有限公司 | A kind of student performance diagnosis lifting system |
| CN109388744A (en) * | 2017-08-11 | 2019-02-26 | 北京龙之门网络教育技术股份有限公司 | A kind of adaptive learning recommended method and device |
| CN109767662A (en) * | 2019-03-13 | 2019-05-17 | 上海乂学教育科技有限公司 | It is suitble to the content verification system of adaptive teaching |
| CN109783647A (en) * | 2018-12-21 | 2019-05-21 | 武汉思路富邦工程咨询有限公司 | The construction method of intelligence learning model |
| CN109903617A (en) * | 2017-12-11 | 2019-06-18 | 北京三好互动教育科技有限公司 | Individualized exercise method and system |
| CN109978310A (en) * | 2017-12-28 | 2019-07-05 | 重庆南华中天信息技术有限公司 | The analysis system of knowledge learning |
| CN109993311A (en) * | 2017-12-28 | 2019-07-09 | 重庆南华中天信息技术有限公司 | The analysis method of knowledge learning |
| CN110070772A (en) * | 2018-10-12 | 2019-07-30 | 王龙 | A kind of learning diagnosis system of the easy-operating knowledge based map of low cost |
| CN111159419A (en) * | 2019-12-09 | 2020-05-15 | 浙江师范大学 | Knowledge tracking data processing method, system and storage medium based on graph convolution |
| CN112685645A (en) * | 2021-01-13 | 2021-04-20 | 敖客星云(北京)科技发展有限公司 | Intelligent education recommendation method, system, equipment and medium based on knowledge graph |
| CN113535982A (en) * | 2021-07-27 | 2021-10-22 | 南京邮电大学盐城大数据研究院有限公司 | Big data-based teaching system |
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Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105512349A (en) * | 2016-02-23 | 2016-04-20 | 首都师范大学 | Question and answer method and question and answer device for adaptive learning of learners |
| CN105512349B (en) * | 2016-02-23 | 2019-03-26 | 首都师范大学 | A kind of answering method and device for learner's adaptive learning |
| CN107665473A (en) * | 2016-07-27 | 2018-02-06 | 科大讯飞股份有限公司 | Learning path planning method and device |
| CN107665473B (en) * | 2016-07-27 | 2021-06-25 | 科大讯飞股份有限公司 | Learning path planning method and device |
| CN106503172A (en) * | 2016-10-25 | 2017-03-15 | 天闻数媒科技（湖南）有限公司 | The method and apparatus that learning path recommended by knowledge based collection of illustrative plates |
| CN109388744A (en) * | 2017-08-11 | 2019-02-26 | 北京龙之门网络教育技术股份有限公司 | A kind of adaptive learning recommended method and device |
| CN109903617B (en) * | 2017-12-11 | 2021-02-02 | 北京三好互动教育科技有限公司 | Personalized exercise method and system |
| CN109903617A (en) * | 2017-12-11 | 2019-06-18 | 北京三好互动教育科技有限公司 | Individualized exercise method and system |
| CN109993311A (en) * | 2017-12-28 | 2019-07-09 | 重庆南华中天信息技术有限公司 | The analysis method of knowledge learning |
| CN109978310A (en) * | 2017-12-28 | 2019-07-05 | 重庆南华中天信息技术有限公司 | The analysis system of knowledge learning |
| CN108830755A (en) * | 2018-05-10 | 2018-11-16 | 杭州恒生数字设备科技有限公司 | A kind of learning diagnosis system of the easy-operating knowledge based map of low cost |
| CN109191929A (en) * | 2018-09-25 | 2019-01-11 | 上海优谦智能科技有限公司 | The intellectual education system of knowledge based map |
| CN109242736A (en) * | 2018-09-27 | 2019-01-18 | 广东小天才科技有限公司 | A kind of method and system for the study situation for assisting teacher to understand student |
| CN110070772A (en) * | 2018-10-12 | 2019-07-30 | 王龙 | A kind of learning diagnosis system of the easy-operating knowledge based map of low cost |
| CN109255998A (en) * | 2018-10-25 | 2019-01-22 | 杭州数理大数据技术有限公司 | A kind of student performance diagnosis lifting system |
| CN109783647A (en) * | 2018-12-21 | 2019-05-21 | 武汉思路富邦工程咨询有限公司 | The construction method of intelligence learning model |
| CN109767662A (en) * | 2019-03-13 | 2019-05-17 | 上海乂学教育科技有限公司 | It is suitble to the content verification system of adaptive teaching |
| CN111159419A (en) * | 2019-12-09 | 2020-05-15 | 浙江师范大学 | Knowledge tracking data processing method, system and storage medium based on graph convolution |
| CN112685645A (en) * | 2021-01-13 | 2021-04-20 | 敖客星云(北京)科技发展有限公司 | Intelligent education recommendation method, system, equipment and medium based on knowledge graph |
| CN113535982A (en) * | 2021-07-27 | 2021-10-22 | 南京邮电大学盐城大数据研究院有限公司 | Big data-based teaching system |
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Application publication date: 20151007 |