CN109767662A - It is suitble to the content verification system of adaptive teaching - Google Patents

It is suitble to the content verification system of adaptive teaching Download PDF

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Publication number
CN109767662A
CN109767662A CN201910190565.3A CN201910190565A CN109767662A CN 109767662 A CN109767662 A CN 109767662A CN 201910190565 A CN201910190565 A CN 201910190565A CN 109767662 A CN109767662 A CN 109767662A
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module
teaching
analysis
screening
data
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CN201910190565.3A
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崔炜
李杉杉
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Shanghai Yixue Education Technology Co Ltd
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Shanghai Yixue Education Technology Co Ltd
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Priority to CN201910190565.3A priority Critical patent/CN109767662A/en
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Abstract

The invention discloses a kind of content verification systems of suitable adaptive teaching comprising: memory module, management module, logging modle, interactive module, screening module and analysis module.Memory module is for storing teaching exercise and the corresponding knowledge point of each teaching exercise;Management module is for recording and managing student information;Logging modle is used to receive and store student to the answer data of teaching exercise;Interactive module is used to receive the screening index and analysis indexes of user's input;Screening module is used for the screening index according to input, reads answer data and is screened and marked, generated and export garbled data;Analysis module is used for the analysis indexes according to input, reads screening module and memory module respectively, analytical calculation is carried out to garbled data and exports analysis result.The present invention can the quick high knowledge point of abnormal rate in positioning teaching content, targetedly adjust the teaching resource of investment, improve teaching job efficiency, excavate the teaching potentiality of teacher.

Description

It is suitble to the content verification system of adaptive teaching
Technical field
The invention belongs to on-line study technical fields, relate in particular to a kind of content verification system of suitable adaptive teaching System.
Background technique
Traditional school instruction and education product can not accumulate large-scale student individuality learning data in a short time, Therefore develop in the analysis of teaching data more slowly, and existing instruction analysis method is mainly based upon student examination achievement Determine students ' learning performance, index is single and can not rule out a lot of other influencing factors, for example can not judge the road student Zuo Duimou Topic is because student has hit it and answer or grasped this knowledge point.Teacher can not be according to this method to duration of giving lessons, and religion It learns content emphasis point or content is optimized.It cannot achieve the progress that teaching plan is led by teaching data.It is open Number for CN201711191614.2 patent application disclose a kind of on-line study effect evaluating method, itself the following steps are included: Obtain user's learning records data;It obtains the learning effect that user proposes and evaluates and tests request;It is found out pair according to the learning Content of user The test examination question is showed user by the test examination question answered;Obtain the script that user submits;Calculate test result, knot It shares family learning records, test examination question and test result to be analyzed and assessed, obtains the assessment result of learning effect;It will be described Assessment result is sent to user.This scheme can realize the index for measuring students ' learning performance by web terminal.But the program according to So student can not cannot be provided to the grasp feelings of concrete knowledge point to the habit effect of course or class time by students ' immediately Condition.Therefore, a kind of content verification system of novel suitable adaptive teaching how is developed, is this to overcome the above problem Field technical staff needs the direction studied.
Summary of the invention
It, can be quickly in positioning teaching the object of the present invention is to provide a kind of content verification system of suitable adaptive teaching The high knowledge point of abnormal rate in appearance targetedly adjusts the teaching resource of investment, improves teaching job efficiency, excavates the religion of teacher Learn potentiality.
The technical scheme adopted is as follows:
A kind of content verification system of suitable adaptive teaching comprising: memory module, management module, logging modle are handed over Mutual module, screening module and analysis module.Memory module is for storing teaching exercise and the corresponding knowledge point of each teaching exercise;Pipe Reason module is for recording and managing student information;Logging modle is used to receive and store student to the answer data of teaching exercise; Interactive module is used to receive the screening index and analysis indexes of user's input;Screening module is used for the screening index according to input, It reads answer data and is screened and marked, generated and export garbled data;Analysis module according to the analysis of input for referring to Mark reads screening module and memory module respectively, analytical calculation is carried out to garbled data and exports analysis result.
By using this scheme:
Preferably, in the content verification system of above-mentioned suitable adaptive teaching: it further include visualization model, it is described visual Change module to be shown for reading analysis module, generating visual image according to analysis result.
By using this technical solution: being shown according to visualization tool to analysis result, facilitate teacher users can More intuitive and perceptual observation and analysis result.
It is further preferred that in the content verification system of above-mentioned suitable adaptive teaching: the visualization model uses Tableauserver。
It is further preferred that in the content verification system of above-mentioned suitable adaptive teaching: the screening module uses kettle.
The present invention is based on the content verification systems of above-mentioned suitable adaptive teaching, further disclose a kind of adaptive teaching Method,
The technical scheme adopted is as follows:
A kind of adaptive teaching method comprising following steps: S1: student login Adaptable System carries out teaching exercise The answer data are automatically stored in answer, logging modle;S2: user input screening index, according to the screening index to logging modle The answer data of middle storage are screened and are marked, form garbled data;S3: user inputs analysis indexes, analysis module is read Garbled data carries out analytical calculation to garbled data, and exports analysis result;S5: user reads analysis as a result, according to the analysis As a result the content of courses is adjusted.
Preferably, in above-mentioned adaptive teaching method: further including step S4, the step between the step S3 and S5 S4 are as follows: the visual image for being used for indicating analysis result is generated according to analysis result by visualization model.
It is further preferred that in above-mentioned adaptive teaching method: screening index uses student information in the step S2.
It may further be preferable that step S3 includes the following steps: S31: defined analysis refers in above-mentioned adaptive teaching method Mark: single student even to 3 topics or connects wrong 3 entitled exceptions in single teaching exercise, appearance;S32: according to meeting defined in S31 All garbled datas are marked in analysis indexes: label 0 be it is without exception be then labeled as 0, it is abnormal then labeled as 1, marked Data;S33: counting flag data obtained by S32, obtains the corresponding course of flag data labeled as 1, class, knowledge It puts and calculates the flag data proportion labeled as 1.
It is also an option that following teaching plan:
First mapping spectrum knowledge points;Data area: all formal class does topic record for the life;Defined analysis index: it surveys in advance The map knowledge point in examination stage counts.
First method of determining and calculating speculates weakness/grasp knowledge points: data area: all formal class does topic record for the life;Definition point Analysis index: algorithm speculates that the weakness/grasp knowledge point of (student is not necessarily to inscribe) counts according to map relevance.
First survey to do to inscribe and judge weakness/grasp knowledge points: data area: the whole formal classes of the life do topic and record;Definition point Analysis index: judge that weakness/grasp knowledge point counts by doing topic.
Learning and mastering knowledge points;Data area: all formal class does topic record for the life;Defined analysis index: study rank The knowledge point that section is grasped counts.
First survey final knowledge points: data area of grasping: all formal class does topic record for the life;Defined analysis index: logical Cross the sum of the knowledge point counting for doing that topic or algorithm speculative arbitration are grasped.
Learnt not grasp knowledge points: data area: all formal class does topic record for the life;Defined analysis index: it learns The habit stage learns the knowledge point that do not grasp and counts.
Progress/room for manoeuvre knowledge points: data area: all formal class does topic record for the life;Defined analysis index: study rank Section, ability value promotion/decline knowledge point count.
First survey/learning knowledge point master rate: data area: all formal class does topic record for the life;Defined analysis item index: It first surveys the/study stage, grasps knowledge points divided by first mapping spectrum knowledge points.
By using above-mentioned technical proposal:
Teacher users are by reading the analysis of the teaching key to the exercises situation generation based on student as a result, it is possible to accurately capture To single student to course, class time, knowledge point learning effect, to find out student in learning process, the bad class of effect Secondary and knowledge point, and accordingly improve the teaching method to single student/adjustment content of courses, realize teacher in teaching process Adaptive adjustment.
Compared with prior art, automated analysis of the present invention by the feedback data to student's answer teaching exercise, energy The high knowledge point of abnormal rate, targetedly adjusts the teaching resource of investment, to assign study in enough quick positioning teaching contents System better performance, so that more students be attracted to use.More students then further generate more numbers using this system According to continuing above-mentioned process, form benign cycle.
Detailed description of the invention
Present invention will now be described in further detail with reference to the accompanying drawings and specific embodiments:
Fig. 1 is construction module schematic diagram of the invention;
Fig. 2 is workflow schematic diagram of the invention;
Fig. 3 is the data analysis chart that visualization model generates in embodiment 1;
Each appended drawing reference and component names corresponding relationship are as follows:
1, memory module;2, management module;3, logging modle;4, interactive module;5, screening module;6, analysis module;7, Visualization model.
Specific embodiment
In order to illustrate more clearly of technical solution of the present invention, it is further described below in conjunction with each embodiment.
It is as shown in Figs. 1-2 embodiment 1, its technical solution is as follows:
A kind of content verification system of suitable adaptive teaching comprising: memory module 1, management module 2, logging modle 3, interactive module 4, screening module 5, analysis module 6 and visualization model 7.
Wherein, the memory module 1 is for storing teaching exercise and the corresponding knowledge point of each teaching exercise;The management mould Block 2 is for recording and managing student information;The logging modle 3 is used to receive and store student to the answer number of teaching exercise According to;In this example, the answer data include each individual students in different terms, different courses, the total data of different classes time.Institute Interactive module 4 is stated for receiving the screening index and analysis indexes of user's input;The screening module 4 is used for the sieve according to input Index is selected, answer data are read and screened and is marked, generated and export garbled data;The analysis module 5 is used for basis The analysis indexes of input read screening module 4 and memory module 1 respectively, analytical calculation are carried out to garbled data and exports analysis As a result.The visualization model 7 is shown for reading analysis module 6, generating visual image according to analysis result.It is described Visualization model 7 uses Tableau server.The screening module 5 uses kettle.
Its course of work is as follows:
S1: student login Adaptable System carries out answer to teaching exercise, the answer data are automatically stored in logging modle 3;
S2: teacher users log in Adaptable System, screening index are inputted by interactive module 4, specifies the single student of screening Answer data, screening module 5 filters out the answer data of the single student simultaneously in logging modle (3) according to the screening index Additional marking forms the readable garbled data of teacher users;
S3: teacher users continue through interactive module 4 and input analysis indexes, first defined analysis index: single student exists Individually teaching exercise occurs even inscribing or connect wrong 3 entitled exceptions to 3;Analysis module 6 is based on the analysis indexes, to all screening numbers According to being marked: label 0 is without exception then labeled as 0, it is abnormal then labeled as 1, obtain flag data;It is marked simultaneously to obtained by S32 Numeration obtains the label that the corresponding course of flag data labeled as 1, class, knowledge point and calculating are labeled as 1 according to being counted Data proportion, finally output analysis result;
S4: it is read by visualization model 7 and generates visual image as shown in Figure 3 according to analysis result: is horizontal in Fig. 3 The abnormal rate of axial coordinate expression knowledge point;Ordinate of orthogonal axes is to indicate the sample data volume of knowledge point, and each dot represents one and knows Know point, position of the knowledge point in Fig. 3 coordinate system is higher more its abnormal rate of keeping right, its more top data volume is bigger.And in figure What framework was chosen is the maximum highest some knowledge points of abnormal rate simultaneously of data volume.
S5: user obtains analysis result information by observation Fig. 3, accordingly adjusts the content of courses for the knowledge point in frame.
The above, only specific embodiments of the present invention, but scope of protection of the present invention is not limited thereto, it is any ripe The technical staff of art technology is known in technical scope disclosed by the invention, any changes or substitutions that can be easily thought of, should all contain Lid is within protection scope of the present invention.Protection scope of the present invention is subject to the scope of protection of the claims.

Claims (4)

1. a kind of content verification system of suitable adaptive teaching characterized by comprising
Memory module (1), the memory module (1) is for storing teaching exercise and the corresponding knowledge point of each teaching exercise;
Management module (2), the management module (2) is for recording and managing student information;
Logging modle (3), the logging modle (3) are used to receive and store student to the answer data of teaching exercise;
Interactive module (4), the interactive module (4) are used to receive the screening index and analysis indexes of user's input;
Screening module (5), the screening module (4) are used for the screening index according to input, read answer data and are screened With label, generation and export garbled data;
Analysis module (6), the analysis module (5) are used for the analysis indexes according to input, read screening module (4) respectively and deposit Storage module (1) carries out analytical calculation to garbled data and exports analysis result.
2. the content verification system of suitable adaptive teaching as described in claim 1, it is characterised in that: further include visualization model (7), the visualization model (7) is shown for reading analysis module (6), generating visual image according to analysis result.
3. the content verification system of suitable adaptive teaching as claimed in claim 2, it is characterised in that: the visualization model (7) Tableau server is used.
4. the content verification system of suitable adaptive teaching as claimed in claim 2, it is characterised in that: the screening module (5) Using kettle.
CN201910190565.3A 2019-03-13 2019-03-13 It is suitble to the content verification system of adaptive teaching Pending CN109767662A (en)

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TW200949773A (en) * 2008-05-16 2009-12-01 Chien Hua Learning Resources Network Company Learning diagnosis system and method
CN104966427A (en) * 2015-05-27 2015-10-07 北京创数教育科技发展有限公司 Self-adaptation teaching interaction system and method
CN105355111A (en) * 2015-12-02 2016-02-24 华中师范大学 After-class reinforced learning system based on learning situation analysis
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
CN108510187A (en) * 2018-03-29 2018-09-07 江苏数加数据科技有限责任公司 A kind of differential chemical learning system based on big data
CN108597280A (en) * 2018-04-27 2018-09-28 中国人民解放军国防科技大学 Teaching system and teaching method based on learning behavior analysis
CN109308569A (en) * 2018-08-16 2019-02-05 杨帆 A kind of teaching behavior analysis system and analysis method based on artificial intelligence

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2004075015A2 (en) * 2003-02-14 2004-09-02 Ctb/Mcgraw-Hill System and method for creating, assessing, modifying, and using a learning map
TW200949773A (en) * 2008-05-16 2009-12-01 Chien Hua Learning Resources Network Company Learning diagnosis system and method
CN104966427A (en) * 2015-05-27 2015-10-07 北京创数教育科技发展有限公司 Self-adaptation teaching interaction system and method
CN105355111A (en) * 2015-12-02 2016-02-24 华中师范大学 After-class reinforced learning system based on learning situation analysis
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
CN108510187A (en) * 2018-03-29 2018-09-07 江苏数加数据科技有限责任公司 A kind of differential chemical learning system based on big data
CN108597280A (en) * 2018-04-27 2018-09-28 中国人民解放军国防科技大学 Teaching system and teaching method based on learning behavior analysis
CN109308569A (en) * 2018-08-16 2019-02-05 杨帆 A kind of teaching behavior analysis system and analysis method based on artificial intelligence

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