CN105355111A - After-class reinforced learning system based on learning situation analysis - Google Patents
After-class reinforced learning system based on learning situation analysis Download PDFInfo
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- CN105355111A CN105355111A CN201510872569.1A CN201510872569A CN105355111A CN 105355111 A CN105355111 A CN 105355111A CN 201510872569 A CN201510872569 A CN 201510872569A CN 105355111 A CN105355111 A CN 105355111A
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- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
Abstract
The invention discloses an after-class reinforced learning system based on learning situation analysis. The system is characterized by comprising a knowledge base module, a learning situation test module, a learning situation analysis module and a reinforcement module; the knowledge base module is used for storing basic information and associated information; the learning situation test module is used for selectively generating test paper of test questions associated with specified knowledge points, and receiving answer information of a testee; the learning situation analysis module is used for diagnosing the knowledge point grasp condition of the testee from the answer result based on the correlation between the test questions and the knowledge points and the correlation between the knowledge points; and the reinforcement module is used for recommending corresponding learning reinforcement measures according to the knowledge point grasp condition. The system recommends proper learning reinforcement measures by deeply assessing the knowledge point grasp condition of the testee, thus fulfilling the technical purposes of realizing individualized quality education, reducing the blindness of after-class learning and improving the efficiency.
Description
Technical field
The invention belongs to IT application in education sector technical field, more specifically, relate to a kind of reinforcement learning system after class based on analysis of the students.
Background present situation
In traditional study after class, student's paper pen fulfils assignment, immediately result feedback can not be obtained after completing, teacher was when explanation in second day, also cannot the situation of answering of students ', but impart knowledge to students according to oneself experience and conjecture, the emphasis of teaching cannot be caught at short notice to teach a student according to what he is good at, and student also cannot learn that the weak knowledge of oneself learns personalizedly.
For learning after class, current market there is the website of a lot of online exercise and operation, having allowed teacher to arrange that operation and student fulfil assignment and all carrying out on the net, achieved students' work with exercise in linearize.But allow student to check on the stage of parsing after this type of website only rests on exercise, student does not know why done wrong, what the weak knowledge of oneself is, how the student of performance difference should remedy study, to the student done very well how innovative teaching, be carry out exercises-stuffed teaching method simply on the contrary, learning efficiency is low.
Summary of the invention
The many disadvantages of the deficiency learnt after class for tradition and on-line study website, the present invention proposes a kind of reinforcement learning system after class based on analysis of the students, can depth assessment tester knowledge point grasp situation, because ground is recommended suitable to consolidate and strengthen learning measure aptly, reach and teach students in accordance with their aptitude, reduce the blindness learnt after class, the object improved learning efficiency.
In order to realize the technology of the present invention object, the present invention proposes a kind of reinforcement learning system after class based on analysis of the students, comprises base module, learns feelings test module, analysis of the students module and reinforced module;
Described base module, for storing Back ground Information and related information; Described Back ground Information comprises knowledge point, examination question, dynamically solves a problem, micro-class; Described related information comprise the incidence relation of knowledge point and knowledge point, examination question and knowledge point incidence relation, dynamically solve a problem and the incidence relation of the incidence relation of examination question, micro-class and knowledge point;
Described feelings test module, for specifying the examination question of Knowledge Relation to carry out selection group volume, receives the answering information of tester;
Described analysis of the students module, comprises go over examination papers submodule and diagnosis submodule; Described going over examination papers analyzes submodule for carrying out positive misinterpretation to the answer of tester, obtains result of going over examination papers; Described diagnosis submodule to be used for the incidence relation of the incidence relation of examination question and knowledge point, knowledge point and knowledge point, for diagnosis basis, diagnosing out the knowledge point grasp situation of tester from result of going over examination papers;
Described reinforced module, comprising dynamically solves a problem shows that submodule, micro-class are shown submodule and consolidated test submodule; Described dynamically solving a problem shows that submodule is for showing the correct solution procedure of examination question; Described micro-class shows that submodule is for showing micro-class of Knowledge Relation; Described consolidation test submodule is used for reselecting group volume test from the examination question of the Knowledge Relation need consolidating study, and then calls described analysis of the students module and again analyze.
Advantageous Effects of the present invention is embodied in:
The present invention collects and learns feelings essential information, it is carried out to the profound association analysis of knowledge point, situation is grasped in the knowledge point of grasping tester, because ground is recommended suitable to consolidate and strengthen learning measure aptly, by follow-up viewing of dynamically solving a problem, the study of micro-class and again test consolidate and strengthen results of learning, reach and teach students in accordance with their aptitude, reduce the blindness learnt after class, the object improved learning efficiency.
Accompanying drawing explanation
Fig. 1 is the block diagram of reinforcement learning system after class that the present invention is based on analysis of the students;
Fig. 2 is analysis of the students schematic diagram of the present invention;
Fig. 3 is reinforced module workflow diagram of the present invention.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.In addition, if below in described each embodiment of the present invention involved technical characteristic do not form conflict each other and just can mutually combine.
Refer to Fig. 1, the reinforcement learning system after class that the present invention is based on analysis of the students comprises base module, learns feelings test module, analysis of the students module and reinforced module.
Base module, for storing Back ground Information and related information.Described Back ground Information comprises subject knowledge point, examination question, dynamically solves a problem, micro-class; Described related information comprise the incidence relation of knowledge point and knowledge point, examination question and knowledge point incidence relation, dynamically solve a problem and the incidence relation of the incidence relation of examination question, micro-class and knowledge point.Can store corresponding knowledge point, examination question and micro-class according to test subject or theme in base module, examination question at least comprises exercise question and answer information, and micro-class comprises micro-class type and micro-class video entities.The content that base module stores also can be expanded as required, and such as item difficulty, examination question try out grade etc.
Learn feelings test module, for selecting the test papers of correlated knowledge point to the unified test of student.Group volume can self-generating test papers, for example (,) setting and knowledge point A associate examination question quantity N, selection mode be at random, then with knowledge point A associate that examination question is concentrated selects N number of examination question arbitrarily; Set item difficulty if want, then can arrange the examination question ratio of different difficulty value further, system can according to the examination question ratio select question randomly of total examination question quantity and different difficulty value.Group volume can also manual mode complete, and selectes examination question or input new examination question by user.
Analysis of the students module, learns situation condition for statistical study student, comprises go over examination papers submodule and diagnosis submodule, carries out data analysis from two levels.First, go over examination papers and analyze submodule and complete the positive erroneous judgement that student institute answers examination question and add up with class's examination question scoring rate, facilitate student to search wrong examination question, teacher also can grasp class's entirety or individual answer situation and emphasis examination question; Secondly, diagnosis submodule is by going deep into statistical study to the mapping relations between test result data and knowledge point, with the incidence relation of the incidence relation of examination question and knowledge point, knowledge point and knowledge point for diagnosis basis, from answer result, diagnose out the knowledge point of tester to grasp situation, diagnose out the answer present situation (knowledge blind spot, advantage knowledge) of class and individual, be positioned to the problem place of student.More particularly, if the wrong answer associating same knowledge point is more than the first predetermined number, then judge that this knowledge point is as blind spot knowledge; If the correct answer associating same knowledge point is more than the second predetermined number, then judge that this knowledge point is as advantage knowledge.Blind spot knowledge refers to the knowledge point that tester does not grasp, and advantage knowledge refers to that tester has fully understood and the knowledge point that can be applied.
Reinforced module, comprising dynamically solves a problem shows that submodule, micro-class are shown submodule and consolidated test submodule, for launching the remedial teaching of three levels from shallow to deep.First level dynamically solves a problem to show that submodule recommends the course of solving questions video of the especially wrong examination question of examination question to check for student, allows student understand this correct solution of inscribing; Second level is that micro-class shows that submodule shows micro-class of Knowledge Relation.Micro-class is explanation and an examination question task of knowledge point related life example, student, after grasp knowledge, checks that this micro-class contributes to student and to apply in a flexible way knowledge, after student obtains examination question task, can use electronic means that its solution is recorded into micro-class, more profoundly understand knowledge.Third layer time is drawn inferences about other cases from one instance, and recommends the examination question of the equal difficulty of weak knowledge point to allow student consolidate exercise.
The main body of analysis of the students module is examination question, need set up complete examination question table, comprise outside the essential informations such as stem, option, answer.Further, also can comprise the degree of difficulty of examination question, for the Grasping level of knowledge on testing point.
Relation between library storage knowledge point, knowledge point and knowledge point, first sets up the hierarchical relationship between knowledge point, selects " chapter knowledge point " in teaching material, cuts successively by the standard such as " joint knowledge point ", " trifle knowledge point " it.The knowledge point that its granularity is large is the parent knowledge point of its small grain size knowledge point, and the knowledge point that its granularity is little is the child node of coarsegrain knowledge point, and parent knowledge point is on the upper strata of sub-level knowledge point.Also need the knowledge point learnt to be precursor knowledge point before the study of knowledge point, identify with independent precursor knowledge point, in like manner follow-up knowledge point also so associates.It is the incidence relation of m:n between examination question and knowledge point.Storehouse, knowledge point also can store the answer of each user at each examination question, and examination question, user and script storehouse are 1:1:1 relations.Determine the relation between test item bank and knowledge point, the relation of examination question and user's answer, conveniently draw user learning diagnostic analysis result.
Dynamically to solve a problem displaying submodule, store a large amount of pictures about course of solving questions, video, animation, audio frequency, each examination question all has detailed parsing, make rich mutual, containing the video of solving a problem of animation, or have the audio frequency etc. of solving a problem of the picture of detailed process, teacher's recording, present the solution of examination question visual in imagely, helping student to understand knowledge, preparing for carrying out remedial teaching.Dynamic analysis table and examination question are 1:1 corresponding relations.
" applying flexibly micro-class " that micro-class library storage teacher prepares for Ontario Scholar, and micro-class video that student oneself records, promote students ' practical ability, the thinking of attention to training student and technical ability.Knowledge base and micro-class are the relation of 1:n, recommend micro-class of correlated knowledge point, apply flexibly knowledge, carry out teachers' innovation teaching pattern.
Fig. 2 shows analysis of the students schematic diagram, and default student has participated in and completed the test of teachers organization, and its student's answer data has been saved in answer storehouse.Analysis of the students carries out under the already present prerequisite of student's answer data, and its concrete analysis step is:
1) examination question is corrected errors statistics.For student individual, the answer of each examination question of system statistics every student can the model answer of examination question therewith corresponding, objective item has " correctly " and " mistake " two states; Subjective item contrasts according to the mark of student's examination question and examination question full marks, also comprises " half is correct " state except " correctly " and " mistake " two states, represents that student is in this topic and non-fully pair, facilitates student to search wrong examination question with this.For collective of class, the scoring rate of each examination question of system statistics, namely all students are at the number percent of the average full marks of examination question therewith of this examination question, highlight class's answer present situation.The emphasis examination question of the lower examination question of scoring rate class, reminds the explanation of teacher's emphasis, helping teacher to adjust teaching programme, providing foundation for improving the quality of teaching.
2) state analysis is grasped in knowledge point.By the mapping relations of student's answer data and new expertise Establishing being carried out going deep into comparative analysis, draw knowledge point ratio of the scores, and draw the higher knowledge point of error rate further.Examine knowledge index in conjunction with examination question degree of difficulty in basic data and examination question, difficulty property value is divided into multiple rank, the acquisition of knowledge degree of the corresponding different levels of different stage, judges the acquisition of knowledge level of student's present stage thus.Mastery of knowledge level is divided into from low to high: simple level, middle grade and difficult level, if " medium topic " is on the high side in the examination question of student's mistake, when " simply inscribing " on the low side, then this student rests on " medium difficulty " level, should practise the solution of the medium difficulty topic of this type of knowledge point more; If simply inscribe mistake, then may be caused by student's carelessness.Knowledge blind spot, the knowledge point that namely scoring rate is low, the i.e. weak knowledge of student, should add strong; Advantage knowledge refers to the test and diagnostic by multiple tracks examination question, and the examination question error rate of this knowledge point is lower, then this knowledge point is the advantage knowledge of student, and the time of oneself can be redistributed by student, pays close attention to knowledge blind spot, learns personalizedly.Concerning teacher, draw the weak knowledge point of entirety of class, grade according to data analysis, so for teacher revise teaching programme have for teaching and remedying instruct.
Fig. 3 shows reinforced module workflow diagram, and zygote module is described in detail as follows step:
Go over examination papers submodule according to " the positive erroneous judgement of examination question " in analysis of the students module, and locate errors examination question set, comprises the examination question of " mistake " and " half is correct " state.Call Multimedia Recommendation of dynamically solving a problem that in dynamic resolution exam pool, this examination question set is corresponding to student, so-called multimedia of dynamically solving a problem refers to the swf animation of many Interactive Designs, html5 or video, with the parsing that a kind of mode intuitively represents examination question for student, student is helped to understand the correct solution of examination question.
Diagnosis submodule is diagnosed out " the knowledge point grasp state " of tester, analysis knowledge blind spot, choose the weak knowledge point of student and knowledge point grasp level thereof, consolidate test submodule recommends the examination question of equal difficulty level to practise to student according to knowledge point grasp level from test item bank, consolidates the Grasping level of student on this difficulty level of this knowledge point further.
The source of described micro-class comprises: teacher makes " the micro-class of flexible use type ", student records " the micro-class of Task ", recording " sharing and the micro-class of discussion ".
Teacher makes " the micro-class of flexible use type ", and " the micro-class of flexible use type " is for the application example video of single knowledge point in real life, is designed separately by teacher, and object is that knowledge point can be applied to practice by beholder.Video structure is " example explanation+Mission task ", and the Video processing such as similar CamtasiaStudio, premiereCS and software for editing can be adopted to make, and after completing, mark knowledge point and micro-class type, be uploaded in " micro-class storehouse " in knowledge base.
Student records " the micro-class of Task ", after student gets task, by thinking and answer, finally the thinking of oneself and answer process are shielded class software or video taken into by mobile phone/video camera by recording, this video is exactly the micro-class of Task that student records, while profound understanding knowledge, be also uploaded in system, for discussing between student and exchanging.
Share and discussion, the micro-class of flexible use type that the complete teacher of Students ' Learning makes, and the micro-class of the Task starting to record oneself, website is shared, for other Students ' Evaluation opinion, strengthens sharing and communication between student.
Those skilled in the art will readily understand; the foregoing is only preferred embodiment of the present invention; not in order to limit the present invention, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.
Claims (6)
1. based on a reinforcement learning system after class for analysis of the students, it is characterized in that, comprise base module, learn feelings test module, analysis of the students module and reinforced module;
Described base module, for storing Back ground Information and related information; Described Back ground Information comprises knowledge point, examination question, dynamically solves a problem, micro-class; Described related information comprise the incidence relation of knowledge point and knowledge point, examination question and knowledge point incidence relation, dynamically solve a problem and the incidence relation of the incidence relation of examination question, micro-class and knowledge point;
Described feelings test module, for specifying the examination question of Knowledge Relation to carry out selection group volume, receives the answering information of tester;
Described analysis of the students module, comprises go over examination papers submodule and diagnosis submodule; Described going over examination papers analyzes submodule for carrying out positive misinterpretation to tester's answer, obtains result of going over examination papers; Described diagnosis submodule to be used for the incidence relation of the incidence relation of examination question and knowledge point, knowledge point and knowledge point, for diagnosis basis, diagnosing out the knowledge point grasp situation of tester from result of going over examination papers;
Described reinforced module, comprising dynamically solves a problem shows that submodule, micro-class are shown submodule and consolidated test submodule; Described dynamically solving a problem shows that submodule is for showing the correct solution procedure of examination question; Described micro-class shows that submodule is for showing micro-class of Knowledge Relation; Described consolidation test submodule is used for reselecting group volume test from the examination question of the Knowledge Relation need consolidating study, and then calls described analysis of the students module and again analyze.
2. the reinforcement learning system after class based on analysis of the students according to claim 1, it is characterized in that, knowledge point in described base module and Knowledge Relation relation are set up in the following manner: knowledge point is attributed to each level, and knowledge point, upper strata is the parent of lower floor knowledge point; Knowledge point and forerunner knowledge point and follow-up Knowledge Relation, described forerunner knowledge point refers to the knowledge point needed to be grasped before this knowledge point of study, the knowledge point that described follow-up knowledge point can learn after referring to and grasping this knowledge point.
3. the reinforcement learning system after class based on analysis of the students according to claim 1, it is characterized in that, described diagnosis submodule is used for carrying out statistical study to described answer result, if the wrong answer associating same knowledge point is more than the first predetermined number, then judges that this knowledge point is as blind spot knowledge; If the correct answer associating same knowledge point is more than the second predetermined number, then judge that this knowledge point is as advantage knowledge.
4. the reinforcement learning system after class based on analysis of the students according to claim 3, it is characterized in that, examination question in described base module is provided with difficulty property value, and difficulty property value is divided into multiple rank, the acquisition of knowledge degree of the corresponding different levels of different stage.
5. the reinforcement learning system after class based on analysis of the students according to claim 4, it is characterized in that, described diagnosis submodule is also for the wrong answer difficulty property value of the same knowledge point of statistical correlation, and the corresponding relation of foundation difficulty property value and acquisition of knowledge degree, know the acquisition of knowledge degree of tester.
6. the reinforcement learning system after class based on analysis of the students according to claim 5, is characterized in that, described consolidation test submodule recommends the test papers of corresponding difficulty to test according to the acquisition of knowledge degree of described tester.
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