CN103577507A - Intelligent question bank system with real-time detection and self-adaptive evolution mechanism and method - Google Patents
Intelligent question bank system with real-time detection and self-adaptive evolution mechanism and method Download PDFInfo
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- CN103577507A CN103577507A CN201210285262.8A CN201210285262A CN103577507A CN 103577507 A CN103577507 A CN 103577507A CN 201210285262 A CN201210285262 A CN 201210285262A CN 103577507 A CN103577507 A CN 103577507A
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
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- 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 invention provides an intelligent question bank system with a real-time detection and self-adaptive evolution mechanism and a method. The intelligent question bank system comprises a question type distinguishing module, a student knowledge and capability module and a question recommendation module, wherein the question type distinguishing module is used for storing questions of different types; the student knowledge and capability module is used for detecting and evaluating the knowledge level of a student in real time; the question recommendation module is used for recommending individual questions adapting to the knowledge level of the student from the question type distinguishing module after the knowledge level of the student is acquired via the student knowledge and capability module. According to the intelligent question bank system, the current education situation of examination-oriented sea tactical issues generally existing in middle and primary schools is improved, the effectiveness of question bank test education is increased, the teaching burden of teachers and the learning burden of students are relieved, and middle and primary school subject question banks oriented to intelligent test are researched and established. Key technical problems of dynamic knowledge capability models for students in middle and primary schools, the construction of question banks under the driving action of intelligent application, selection and display of individual questions, intelligent semantic integration of the question banks based on application effects and the like are researched, and a question bank support system oriented to intelligent question application to middle and primary schools is established.
Description
Technical field
The present invention relates to the problem database system of education sector, and be particularly related to a kind of intellectual test-base system and method with detecting real-time and adaptive Evolutionary mechanism.
Background technology
Along with the fast development of infotech, people's the mode of thinking and mode of learning have been produced to significant impact, and just promoting education and mode of learning there is unprecedented change.Information technology application is to after in education process, caused that academic environment, education resource and mode of learning all start rapidly to digitizing future development, formed the Digital Learning environment, Digital Learning Resources and the Digital Learning mode that change traditional education mode.
No matter be traditional educational pattern, or the digital education pattern under infotech, its object is all in order to promote more effective teaching, and teacher is exactly that student is for the Grasping level of knowledge point for an important assessment of the own successes achieved in teaching, therefore the knowledge point of, understanding in time student is grasped situation and is understood that to affect the correlative factor of knowledge point be an importance of improving the quality of teaching.
Yet, in traditional teaching, teacher mainly gives lessons by rule of thumb and arranges that exercise question practises to student, owing to there is no intelligent exam pool, if student does not grasp certain knowledge point, teacher can only be by arranging that to student more exercise question impels students, do not suit the remedy to the case, so just having caused student's burden.
In sum, middle and primary schools' ubiquity be take examination and is the Education Situation of the exercises-stuffed teaching method of target, thereby the teaching that causes teacher cannot be suited the remedy to the case, quality of instruction is difficult to the problem improving, all brought great homework burden to teacher and student simultaneously, therefore be necessary to propose improved technological means in fact, solve this problem.
Summary of the invention
The deficiency existing for overcoming above-mentioned prior art, the present invention proposes a kind of intellectual test-base system and method with detecting real-time and adaptive Evolutionary mechanism, has improved the validity based on exam pool test education, has alleviated teachers and students' learning aid burden.
In order to achieve the above object, the present invention proposes a kind of intelligent problem database system with detecting real-time and adaptive optimization mechanism, comprising:
Examination question type classification module, for storing dissimilar examination question;
Student knowledge and ability module, for detecting real-time evaluate student know-how;
Examination question is recommended module, according to described student knowledge and ability module, obtains after student's know-how, recommends to adapt to the personalized examination question of student knowledge level from described examination question type classification module.
Further, described examination question type classification module comprises difficulty module, reliability module and validity module.
Further, described examination question recommends module to comprise semantic analysis module, self-adaptation module and selfreparing module.
Further, described examination question recommends module by the semantic matches of knowledge-ID in student knowledge and ability and exam pool and Knowledge Capability sign, and matching result is optimized to sequence and active push, forms personalized examination question.
Further, described examination question recommends module to collect the result that above-mentioned intelligent examination question is measured student, based on error analysis, correctly answer statistical method and carry out the semanteme of test item bank service condition and connect, and carry out robotization exam pool fitness and describe, content is adjusted and is repaired, and improves the examination question of exam pool and recommends accuracy rate.
In order to achieve the above object, the present invention also proposes a kind of intelligent exam pool method with detecting real-time and adaptive Evolutionary mechanism, comprises the following steps:
In examination question type classification module, store dissimilar examination question;
By student knowledge and ability module detecting real-time evaluate student know-how;
By examination question, recommend module, according to described student knowledge and ability module, obtain after student's know-how, from described examination question type classification module, recommend to adapt to the personalized examination question of student knowledge level.
The present invention is directed to middle and primary schools' ubiquity and take examination and be the Education Situation of the exercises-stuffed teaching method of target, for improving the validity based on exam pool test education and alleviating teachers and students' learning aid burden, intend studying and setting up the middle and primary schools' subject exam pool towards intelligent test.Research middle and elementary school student dynamic knowledge capabilities model, intelligent Application drive lower item banking, personalized examination question select with present, the key technical problems such as exam pool intelligent semantic integration based on effect, set up the exam pool support system of applying towards the intelligent examination question of middle and primary schools.
Accompanying drawing explanation
Figure 1 shows that the intelligent problem database system structural representation with detecting real-time and adaptive optimization mechanism of preferred embodiment of the present invention.
Embodiment
Below, by specific instantiation accompanying drawings embodiments of the present invention, those skilled in the art can understand other advantage of the present invention and effect easily by content disclosed in the present specification.The present invention also can be implemented or be applied by other different instantiation, and the every details in this instructions also can be based on different viewpoints and application, carries out various modifications and change not deviating under spirit of the present invention.
Please refer to Fig. 1, Figure 1 shows that the intelligent problem database system structural representation with detecting real-time and adaptive optimization mechanism of preferred embodiment of the present invention.The present invention proposes a kind of intelligent problem database system with detecting real-time and adaptive optimization mechanism, comprising:
Examination question type classification module 100, for storing dissimilar examination question;
Student knowledge and ability module 200, for detecting real-time evaluate student know-how;
Examination question is recommended module 300, according to described student knowledge and ability module 200, obtains after student's know-how, recommends to adapt to the personalized examination question of student knowledge level from described examination question type classification module 100.
The preferred embodiment according to the present invention, described examination question type classification module 100 comprises difficulty module 110, reliability module 120 and validity module 130, the fine granularity of research students in middle and primary schools' knowledge and aptitude tests examination question and Knowledge Capability characterize, set up difficulty, reliability and validity model, make exam pool according to different students, recommend different exercise questions and guarantee the quality of exercise question, reserved examination question service condition attribute (as error situation), studies simultaneously and realizes efficient storage and the access of this examination question in exam pool.
Described examination question recommends module 300 to comprise semantic analysis module 310, self-adaptation module 320 and selfreparing module 330.According to factors such as subject and knowledge points, described examination question recommends module 300 by the semantic matches of knowledge-ID in student knowledge and ability and exam pool and Knowledge Capability sign, and matching result is optimized to sequence and active push, forms personalized examination question.
Described examination question recommends module 300 to collect the result that above-mentioned intelligent examination question is measured student, based on error analysis, correctly answer statistical method and carry out the semanteme of test item bank service condition and connect, and carry out robotization exam pool fitness and describe, content is adjusted and is repaired, and improves the examination question of exam pool and recommends accuracy rate.
The present invention also proposes a kind of intelligent exam pool method with detecting real-time and adaptive Evolutionary mechanism, comprises the following steps:
In examination question type classification module, store dissimilar examination question;
By student knowledge and ability module detecting real-time evaluate student know-how;
By examination question, recommend module, according to described student knowledge and ability module, obtain after student's know-how, from described examination question type classification module, recommend to adapt to the personalized examination question of student knowledge level.
Intellectual test-base system and the method with detecting real-time and adaptive Evolutionary mechanism that the present invention proposes, the Accurate measurement of research students in middle and primary schools' knowledge and ability, set up its dynamic existing Knowledge Capability model, solve its mechanism such as on-line measurement based on education cloud service platform.This system constantly student is collected student data in the process of test, and can describe exactly student's ability.
Above-described embodiment is illustrative principle of the present invention and effect thereof only, but not for limiting the present invention.Any those skilled in the art all can, under spirit of the present invention and category, modify and change above-described embodiment.Therefore, the scope of the present invention, should be as listed in claims.
Claims (6)
1. an intelligent problem database system with detecting real-time and adaptive optimization mechanism, is characterized in that, comprising:
Examination question type classification module, for storing dissimilar examination question;
Student knowledge and ability module, for detecting real-time evaluate student know-how;
Examination question is recommended module, according to described student knowledge and ability module, obtains after student's know-how, recommends to adapt to the personalized examination question of student knowledge level from described examination question type classification module.
2. the intelligent problem database system with detecting real-time and adaptive optimization mechanism according to claim 1, is characterized in that, described examination question type classification module comprises difficulty module, reliability module and validity module.
3. the intelligent problem database system with detecting real-time and adaptive optimization mechanism according to claim 1, is characterized in that, described examination question recommends module to comprise semantic analysis module, self-adaptation module and selfreparing module.
4. the intelligent problem database system with detecting real-time and adaptive optimization mechanism according to claim 1, it is characterized in that, described examination question recommends module by the semantic matches of knowledge-ID in student knowledge and ability and exam pool and Knowledge Capability sign, matching result is optimized to sequence and active push, forms personalized examination question.
5. the intelligent problem database system with detecting real-time and adaptive optimization mechanism according to claim 1, it is characterized in that, described examination question recommends module to collect the result that above-mentioned intelligent examination question is measured student, based on error analysis, correctly answer statistical method and carry out the semanteme of test item bank service condition and connect, and carry out robotization exam pool fitness and describe, content is adjusted and is repaired, and improves the examination question of exam pool and recommends accuracy rate.
6. an intelligent exam pool method with detecting real-time and adaptive Evolutionary mechanism, is characterized in that, comprises the following steps:
In examination question type classification module, store dissimilar examination question;
By student knowledge and ability module detecting real-time evaluate student know-how;
By examination question, recommend module, according to described student knowledge and ability module, obtain after student's know-how, from described examination question type classification module, recommend to adapt to the personalized examination question of student knowledge level.
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CN104834729A (en) * | 2015-05-14 | 2015-08-12 | 百度在线网络技术(北京)有限公司 | Title recommendation method and title recommendation device |
CN105022828A (en) * | 2015-07-31 | 2015-11-04 | 阔地教育科技有限公司 | Resource pushing method and device |
CN105243620A (en) * | 2015-09-16 | 2016-01-13 | 阔地教育科技有限公司 | Teaching information processing method and server |
CN105632269A (en) * | 2016-04-08 | 2016-06-01 | 顾珺 | Individualized closed-loop learning method |
CN106407237A (en) * | 2015-08-03 | 2017-02-15 | 科大讯飞股份有限公司 | An online study test question recommendation method and system |
CN106484870A (en) * | 2016-10-12 | 2017-03-08 | 天闻数媒科技(湖南)有限公司 | A kind of exam pool method of adjustment and device |
CN106599089A (en) * | 2016-11-23 | 2017-04-26 | 广东小天才科技有限公司 | Test question recommendation method and device based on knowledge points and user equipment |
CN106781785A (en) * | 2017-01-04 | 2017-05-31 | 广东小天才科技有限公司 | A kind of item difficulty construction method and device, service equipment based on big data |
US10354543B2 (en) | 2015-12-17 | 2019-07-16 | International Business Machines Corporation | Implementing assessments by correlating browsing patterns |
CN111259240A (en) * | 2020-01-14 | 2020-06-09 | 武汉璞睿互联技术有限公司 | Test question recommendation method and device |
CN112908067A (en) * | 2021-03-09 | 2021-06-04 | 浙江创课网络科技有限公司 | Student homework distribution system based on multi-dimensional layering mechanism |
US11263589B2 (en) | 2017-12-14 | 2022-03-01 | International Business Machines Corporation | Generation of automated job interview questionnaires adapted to candidate experience |
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CN106407237A (en) * | 2015-08-03 | 2017-02-15 | 科大讯飞股份有限公司 | An online study test question recommendation method and system |
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US10354543B2 (en) | 2015-12-17 | 2019-07-16 | International Business Machines Corporation | Implementing assessments by correlating browsing patterns |
CN105632269A (en) * | 2016-04-08 | 2016-06-01 | 顾珺 | Individualized closed-loop learning method |
CN106484870A (en) * | 2016-10-12 | 2017-03-08 | 天闻数媒科技(湖南)有限公司 | A kind of exam pool method of adjustment and device |
CN106599089A (en) * | 2016-11-23 | 2017-04-26 | 广东小天才科技有限公司 | Test question recommendation method and device based on knowledge points and user equipment |
CN106781785A (en) * | 2017-01-04 | 2017-05-31 | 广东小天才科技有限公司 | A kind of item difficulty construction method and device, service equipment based on big data |
US11263589B2 (en) | 2017-12-14 | 2022-03-01 | International Business Machines Corporation | Generation of automated job interview questionnaires adapted to candidate experience |
CN111259240A (en) * | 2020-01-14 | 2020-06-09 | 武汉璞睿互联技术有限公司 | Test question recommendation method and device |
CN112908067A (en) * | 2021-03-09 | 2021-06-04 | 浙江创课网络科技有限公司 | Student homework distribution system based on multi-dimensional layering mechanism |
CN112908067B (en) * | 2021-03-09 | 2022-09-23 | 浙江创课网络科技有限公司 | Student homework distribution system based on multi-dimensional layering mechanism |
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