CN101630451A - Computer assisted instruction (CAI) expert system - Google Patents
Computer assisted instruction (CAI) expert system Download PDFInfo
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- CN101630451A CN101630451A CN200910042121A CN200910042121A CN101630451A CN 101630451 A CN101630451 A CN 101630451A CN 200910042121 A CN200910042121 A CN 200910042121A CN 200910042121 A CN200910042121 A CN 200910042121A CN 101630451 A CN101630451 A CN 101630451A
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Abstract
The invention discloses a computer assisted instruction (CAI) expert system comprising an expert module, a man-machine interface, a student interface, an inference machine, a regular module, a database and a knowledge base, wherein, the expert module chooses questions from the database for students by the regular module, students feed back the result to the expert module on line, and then the expert module diagnoses the results of the students and chooses knowledge from the database to form the knowledge base for students to study by the regular module; the expert module is a teaching assisted system formed by abundant experiences of educational experts to realize that a virtual teacher formed by abundant experiences of experts carries out teaching on one student; according to on-line feedback, the expert module diagnoses the mark level of the student to call suitable study contents, which fully embodies individual education to students; the called study content can be repeatedly adjusted for several times to perform pertinence interactive teaching and instructing so as to improve studying effect and increase studying interest.
Description
Technical field
The present invention relates to a kind of computer aided instruction system, particularly a kind of energy intelligence is regulated the CAI expert system of student's study plan.
Background technology
Computer aided instruction system is not rarely seen, but the The teaching design of existing computer aided instruction system generally all is " religion " and carry out around how, ignored the how problem of " " of student, generally mostly be the teaching courseware of making according to the teaching requirement, " cramming education " in the former classroom made to utilize into " courseware fillings " of technological means, and the teacher is subjected to the influence of courseware, goes to impart knowledge to students around courseware fully, lose oneself understanding and idea, lacked the interactive link of teachers and students.
And this type of computer aided instruction system technical requirement height, even own idea of teacher's handlebar and understanding add the idea of tutoring system, also can be because of the restriction of time and ability, and have to prolong content with courseware, lacked the intelligent and dirigibility of computer aided instruction system.The content of courses of this kind computer aided instruction system all is to make in advance in addition, can not in time adjust according to student's study situation, and student's on-the-spot problem can not well solve, and has lacked the interactive of man-machine exchange.
Summary of the invention
The present invention proposes in order to address the above problem, its objective is and utilize CAI expert system, by in advance to the diagnosis of student's learning level, intelligence generates learning knowledge storehouse targetedly, according to online online feedback, expert module diagnosis student's achievement level, call suitable learning content, demonstrate fully individualized education to the student, and this knowledge base can repeatedly reciprocally generate, the content in the knowledge base is grasped in student's or study by a period of time dissatisfied to the learning knowledge storehouse already, can adjust knowledge base once more.The system that expert module is made up of numerous education expert's experiences realizes the teaching of " virtual teacher " be made up of numerous brainstrust rich experiences to a student.The present invention is that artificial intelligence technology and experience with students combine, can understand the student, learning behavior according to the student is made instructional decisions, pass on the content of courses in the acceptable mode of student, the student is carried out specific aim interactive teaching and guidance, students'interest in learning can be strengthened like this, student's learning efficiency can be improved again.
Above-mentioned a kind of CAI expert system, comprise expert module, man-machine interface, student interface, inference machine, rule module, database and knowledge base, the realization of its function is divided into 3 steps: the 1st step, and expert module is given the student by rule module multiple-choice question type in database; The 2nd step, the student does topic, gives expert module doing the online online feedback of topic result then, and expert module is diagnosed student's the topic information of doing, and analyzes student's learning level; The 3rd step, the expert selects knowledge to form knowledge base according to diagnostic result in database by rule module, for student's study.
Above-mentioned a kind of CAI expert system, the online online feedback information that the student is the topic result comprises the result of learner answering questions problem or answers a question the used time.According to being the topic result and can understanding its grasp level of student, do topic according to it and expend time in and then can judge its whether firm to mastery of knowledge.
Above-mentioned a kind of CAI expert system, content in the database is the large-scale learning database that the experience with students tissue according to textbook content and numerous teachers forms, embed the learning content and the exercise exercise question of complexity classification, and include reasoning process and gather the intermediate information that obtains.
Above-mentioned a kind of CAI expert system, expert module have three functions: the one, and the topic type that accesses from database is transferred to the student interface do to the student; The 2nd, the student's that the reception student transmits at the interface learning information, diagnosis student's learning behavior; The 3rd, generate knowledge base, comprise the generation problem, answer and explanation.
Above-mentioned a kind of CAI expert system, student interface have three tasks: the one, receive expert module from the topic type that database accesses, and give the student and do; The 2nd, give expert module student's learning information online feedback; The 3rd, the content in the knowledge base access to the student go study.
Above-mentioned a kind of CAI expert system, rule module provides certain rule to go to choose content in the database to inference machine, rule module includes two rules: the one, when the student is diagnosed, if the different complexities of choosing of topic type, dissimilar, investigate student's learning behavior comprehensively; The 2nd, according to the student's of expert module diagnosis learning level, study habit and learning interest, the heuristic knowledge of choosing generates knowledge base.
Above-mentioned a kind of computer aided instruction system, the information interchange between student and native system is handled in man-machine interface, mainly finishes two tasks: the one, after system made instructional decisions, the knowledge base that system is generated conveyed to the student; The 2nd, reception student's learning information conveys to the diagnosis that system carries out learning level to student's learning information, so that arrange the study of next stage.
Above-mentioned a kind of CAI expert system, knowledge base are the learning database at student's learning level that system generates, and include the background of knowledge point, the explanation of knowledge point, the extension of knowledge point, the exercise of knowledge point reinforcement and the examination of knowledge point.
Above-mentioned a kind of CAI expert system, inference machine are the thinking mechanisms of system, and rule module is given the certain rule of inference machine, and inference machine just generates inference pattern according to rule, chooses the content in certain database on request.
Description of drawings
Fig. 1 is the structural representation of a kind of CAI expert system of the present invention;
Fig. 2 is the program circuit synoptic diagram of a kind of CAI expert system selected topic of the present invention;
Fig. 3 is the program circuit synoptic diagram of a kind of CAI expert system diagnosis of the present invention;
Fig. 4 is the program circuit synoptic diagram that a kind of CAI expert system of the present invention generates knowledge base.
Embodiment
Below with reference to accompanying drawing, a kind of computer aided instruction system of the present invention is described further.
A kind of CAI expert system comprises expert module, man-machine interface, student interface, inference machine, rule module, database and knowledge base.Expert module is selected a topic in database by rule module and is given the student, the student is doing the online online feedback of topic result to expert module, expert module is according to the student and is selected knowledge to form knowledge base in database by rule module after the topic result diagnoses then, for student's study.
Fig. 1 is the structural representation of a kind of CAI expert system of the present invention.Expert module is an expert system, have ripe impart knowledge and the ability of answering a question, on the one hand, it can remove to understand student's learning level by certain examination question, learning interest and study habit, on the other hand, it again targetedly student knowledge integral body be convenient to student's study without any confusion; The student interface is the display interface that the student obtains information, also is the operation interface of student to a kind of CAI expert system of the present invention; The information interchange between student and native system is handled in man-machine interface, can give expert system student's operation and go to handle, and also can convey to the student to the result of expert system; Inference machine is equivalent to the thinking mechanism of native system, by setting up the knowledge that inference pattern obtains meeting user's needs; Rule module provides certain rule for native system, and inference machine is set up certain inference pattern under specific rule, thereby realizes explaining, judging the ability of student's demand; Content in the database is the large-scale learning database that the experience with students tissue according to textbook content and several teachers forms, and includes reasoning process and gather the intermediate information that obtains; Content in the knowledge base is to have database to produce by certain rule, the learning database at student's learning level, learning interest, study habit that expert module analysis, arrangement obtain.
Fig. 2 is a kind of CAI expert system selected topic of the present invention program circuit synoptic diagram.After system powers on, the student enters the student interface by menu or shortcut, the student operates " selected topic " button in this interface, send selected topic request, man-machine interface receives this request, and request passed to expert module, expert module is analyzed this request, reach a conclusion (calling rule 1 or rule 2), expert module is by accessing satisfactory topic type to operating in of inference machine in the database then, before wherein inference machine accesses content in database, the rule of introducing in the rule module 1 generates inference pattern, obtain satisfactory topic type after, inference machine is given the student interface delivery of content, by the student interface content is shown, last student removes to answer displaying contents in the above-mentioned student interface according to the understanding of oneself.
Fig. 3 is a kind of CAI expert system diagnostic routine schematic flow sheet of the present invention, promptly is to do according to the student that topic information passes to expert module analysis, result after diagnosing diagnosis student's learning level, learning interest, study habit.After the student whenever finishes a topic (perhaps part examination question), click " diagnosis " button in the student interface, expert module just receives student interface middle school student's the topic information of doing by man-machine interface, the expert module arrangement, analyze, after diagnosing this information, draw a diagnostic result, temporarily this diagnostic result is remained in the expert module, and then the next one that goes to receive this user is done topic information, carry out over and over again, doing topic until the student finishes, at this moment, expert module can be repeatedly analyzing and diagnosing comprehensive diagnos as a result, draw student's learning level, learning interest, study habit, information being passed to rule module set up rule 2 in the rule module, so rule 2 is constantly to change, is that the different learning phase according to different users or same subscriber has very big variation, thereby can carry out design learning plan pointedly at user's truth, teach learning content.
Fig. 4 is the program circuit synoptic diagram that a kind of CAI expert system generates knowledge base.In this process, system generates study plan and the learning content at the student.We learn that the student is after finishing examination question by Fig. 2 and Fig. 3, and expert module will be given rule module formation rule 2 information of student's learning level, learning interest, study habit.After the student finishes examination question, after clicking " generation knowledge base " button in the student interface, man-machine interface just passes to expert module to information, expert module is analyzed this information, reach a conclusion (calling rule 1 or rule 2), expert module begins to operate inference machine access satisfactory knowledge content in database then, and wherein inference machine is before calling data-base content, and the rule of introducing in the rule module 2 generates inference patterns.Expert module receives the above-mentioned satisfactory knowledge content that obtains, and the knowledge base of content analysis, arrangement generation confession student study, the content of knowledge base is by student's interface display, at this moment, if the student is dissatisfied to the content in the selected knowledge base of system, " selected topic " button that then can continue to click in the student interface judges that again student's learning level, learning interest, study habit regenerate knowledge base, also can click " generation knowledge base " button in the student interface.Till the student obtains satisfied knowledge base, satisfied as the student to the knowledge base that generates, then begin the content in the learning knowledge storehouse.
Claims (8)
1. a CAI expert system comprises expert module, man-machine interface, student interface, inference machine, rule module, database and knowledge base, it is characterized in that, may further comprise the steps:
1) expert module is given the student by rule module multiple-choice question type in database;
2) student does topic, gives expert module doing topic online feedback as a result, by expert module student's learning level is diagnosed;
3) expert module selects knowledge to form knowledge base according to diagnostic result in database by rule module, for student's study.
2. a kind of CAI expert system according to claim 1 is characterized in that, the online feedback information that the student is the topic result comprises the result of learner answering questions problem or answers a question the used time.
3. a kind of CAI expert system according to claim 1 is characterized in that, embeds the learning content and the exercise exercise question of complexity classification in the database.
4. a kind of CAI expert system according to claim 1 is characterized in that expert module comprises:
1) calling database selects a topic to the student;
2) student's learning behavior is diagnosed;
3) generate knowledge base, include the generation problem, answer and explanation.
5. a kind of CAI expert system according to claim 1 is characterized in that, student circle's face comprises:
1) select a topic and do to the student in the video data storehouse;
2) give expert module student's learning information online feedback;
3) content in the knowledge base is offered student's study.
6. a kind of CAI expert system according to claim 1 is characterized in that rule module comprises:
When 1) level of student being diagnosed, choose different complexities, dissimilar topic type;
2) generate knowledge base according to the heuristic knowledge of choosing of student's learning level, study habit and learning interest.
7. a kind of CAI expert system according to claim 1 is characterized in that, knowledge base includes the background of knowledge point, the explanation of knowledge point, the extension of knowledge point, the exercise of knowledge point reinforcement and the examination of knowledge point.
8. a kind of CAI expert system according to claim 1 is characterized in that inference machine is set up inference pattern according to the rule request that rule module provides, and chooses legal content in the database.
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Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103021217A (en) * | 2011-09-20 | 2013-04-03 | 虞思华 | Interactive mode learning system |
| CN103531046A (en) * | 2013-10-29 | 2014-01-22 | 广东小天才科技有限公司 | Learning monitoring method and device based on learning product use data |
| CN104126190A (en) * | 2012-02-20 | 2014-10-29 | 株式会社诺瑞韩国 | Method and system for providing education service based on knowledge unit and computer-readable recording medium |
| CN104318497A (en) * | 2014-05-20 | 2015-01-28 | 鲁帆 | Method and system for automatic communitization learning |
| CN105006181A (en) * | 2015-08-12 | 2015-10-28 | 李南方 | Customized learning device and method |
| CN105045829A (en) * | 2015-06-30 | 2015-11-11 | 王远志 | Computer assisted instruction expert system |
| CN105303918A (en) * | 2014-08-29 | 2016-02-03 | 山东轻工职业学院 | Computer-assisted teaching expert system |
| CN105427694A (en) * | 2015-11-18 | 2016-03-23 | 浙江师范大学 | Computer-aided testing method for intelligent teaching |
| CN105719519A (en) * | 2016-04-27 | 2016-06-29 | 深圳前海勇艺达机器人有限公司 | Robot with graded teaching function |
| CN105741633A (en) * | 2016-05-05 | 2016-07-06 | 北京爱提分博乐教育科技有限公司 | Pushing system for error problem school bag |
| CN105869469A (en) * | 2016-05-16 | 2016-08-17 | 牡丹江师范学院 | Auxiliary system for computer-assisted instruction |
| CN106205244A (en) * | 2016-07-04 | 2016-12-07 | 杭州医学院 | Intelligent Computer Assist Instruction System based on information fusion Yu machine learning |
| TWI569222B (en) * | 2012-07-27 | 2017-02-01 | Tian Xin | Learning to help prescribe the teaching system |
| CN106780224A (en) * | 2017-02-27 | 2017-05-31 | 牡丹江师范学院 | A kind of Modeling Teaching of Mathematics learning system |
| CN107944062A (en) * | 2018-01-11 | 2018-04-20 | 杭州银湖智能信息技术有限公司 | A kind of man-machine database inquiry system of question and answer mode industrial design |
| CN109697920A (en) * | 2017-10-20 | 2019-04-30 | 河北工业大学 | A kind of virtual experimental online teaching feedback system |
| CN110120170A (en) * | 2019-04-19 | 2019-08-13 | 安徽智训机器人技术有限公司 | A kind of educational robot with mood setting |
-
2009
- 2009-08-26 CN CN200910042121A patent/CN101630451A/en active Pending
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103021217A (en) * | 2011-09-20 | 2013-04-03 | 虞思华 | Interactive mode learning system |
| CN104126190A (en) * | 2012-02-20 | 2014-10-29 | 株式会社诺瑞韩国 | Method and system for providing education service based on knowledge unit and computer-readable recording medium |
| TWI569222B (en) * | 2012-07-27 | 2017-02-01 | Tian Xin | Learning to help prescribe the teaching system |
| CN103531046A (en) * | 2013-10-29 | 2014-01-22 | 广东小天才科技有限公司 | Learning monitoring method and device based on learning product use data |
| CN104318497A (en) * | 2014-05-20 | 2015-01-28 | 鲁帆 | Method and system for automatic communitization learning |
| CN105303918A (en) * | 2014-08-29 | 2016-02-03 | 山东轻工职业学院 | Computer-assisted teaching expert system |
| CN105045829A (en) * | 2015-06-30 | 2015-11-11 | 王远志 | Computer assisted instruction expert system |
| CN105006181A (en) * | 2015-08-12 | 2015-10-28 | 李南方 | Customized learning device and method |
| CN105427694A (en) * | 2015-11-18 | 2016-03-23 | 浙江师范大学 | Computer-aided testing method for intelligent teaching |
| CN105427694B (en) * | 2015-11-18 | 2020-10-27 | 浙江师范大学 | Computer aided test method for intelligent teaching |
| CN105719519A (en) * | 2016-04-27 | 2016-06-29 | 深圳前海勇艺达机器人有限公司 | Robot with graded teaching function |
| CN105741633A (en) * | 2016-05-05 | 2016-07-06 | 北京爱提分博乐教育科技有限公司 | Pushing system for error problem school bag |
| CN105869469A (en) * | 2016-05-16 | 2016-08-17 | 牡丹江师范学院 | Auxiliary system for computer-assisted instruction |
| CN106205244A (en) * | 2016-07-04 | 2016-12-07 | 杭州医学院 | Intelligent Computer Assist Instruction System based on information fusion Yu machine learning |
| CN106780224A (en) * | 2017-02-27 | 2017-05-31 | 牡丹江师范学院 | A kind of Modeling Teaching of Mathematics learning system |
| CN109697920A (en) * | 2017-10-20 | 2019-04-30 | 河北工业大学 | A kind of virtual experimental online teaching feedback system |
| CN107944062A (en) * | 2018-01-11 | 2018-04-20 | 杭州银湖智能信息技术有限公司 | A kind of man-machine database inquiry system of question and answer mode industrial design |
| CN110120170A (en) * | 2019-04-19 | 2019-08-13 | 安徽智训机器人技术有限公司 | A kind of educational robot with mood setting |
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Open date: 20100120 |