CN109598994A - Non- knowledge point wrong identification method and system in a kind of adaptive teaching - Google Patents
Non- knowledge point wrong identification method and system in a kind of adaptive teaching Download PDFInfo
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- CN109598994A CN109598994A CN201811581991.1A CN201811581991A CN109598994A CN 109598994 A CN109598994 A CN 109598994A CN 201811581991 A CN201811581991 A CN 201811581991A CN 109598994 A CN109598994 A CN 109598994A
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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
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Abstract
The present invention relates to wrong identification method and system in knowledge point non-in a kind of adaptive teaching, the described method comprises the following steps: 1) acquiring the study class metadata tag of user's learning behavior record and corresponding user；2) the study class metadata tag and user are learnt into row record and carries out matching treatment；3) judge whether to meet according to matching result and trigger the condition for presetting non-knowledge point mistake, if so, trigger signal is generated, if it is not, then terminating.Compared with prior art, the present invention has many advantages, such as high reliablity, improves learning efficiency.
Description
Technical field
The present invention relates to a kind of adaptive learning technologies, know more particularly, to knowledge point mistake non-in a kind of adaptive teaching
Other method and system.
Background technique
Adaptive learning is that knowledge based map does nanoscale fractionation, accomplishes precisely to test and assess by the algorithm in forward position, can be examined
Measure student weak knowledge point and locating ability level.Adaptive learning mistake belongs to adaptive learning field because of analysis
An important branch.Mistake is divided to two kinds because of analytical technology mainstream implementation: one is teacher's empirical method, platform or teacher according to
Many years experience with students enumerates the common error reason of student, and gives guidance of solving a problem accordingly；Another kind is fallibility topic analysis,
Platform and teacher statistical learning behavioral data, learning outcome data after class, and using the number of student's answer mistake as basic
Unit, show within the scope of one before (a such as class) student it is several it is highest answer wrong topic, it is total to find Quan Ban whole school whereby
Property, it summarizes teaching rule and promotes instructional strategies.
For mistake because analytical technology in education sector is still in the budding period, place to be improved mainly has following 4 aspects:
Defect 1 can obtain teaching feedback immediately in learning process middle school student user, can play maximum effect to study
Fruit not only increases teacher's script hard work amount by data statistics after class, also not prompt enough, it is difficult to correct and learn
Raw cured wrong thinking；
The mistake of defect 2, User is very strange, the mistake of individual student is not always and most human factor errors have it is identical
The reason of, the interference method of required teacher is also not to the utmost；
Defect 3, teacher's empirical method or fallibility topic analysis are all the domain knowledges according to knowledge point, possible to User
Mistake is analyzed, even if however student understands the knowledge point, still can answer mistake, conclusion of the such case due to being difficult to system,
It generally is attributed to carelessness, losing scores due to this accounts for no small ratio；
Defect 4, the correction for the cognition mistake of User, teacher are typically employed in classroom explanation fallibility topic, then
It is required that student transcribes wrong topic in wrong answer list, the important references reviewed as examination.Such mode is difficult to ensure that student can will be correct
Cognition be applied on other examination questions for investigating same knowledge point, therefore student often make mistakes again and again by same mistake.
Summary of the invention
It is an object of the present invention to overcome the above-mentioned drawbacks of the prior art and provide in a kind of adaptive teaching
Non- knowledge point wrong identification method and system.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of non-knowledge point wrong identification method in adaptive teaching, comprising the following steps:
1) acquisition user's learning behavior record and the study class metadata tag of corresponding user；
2) the study class metadata tag and user are learnt into row record and carries out matching treatment；
3) judge whether to meet according to matching result and trigger the condition for presetting non-knowledge point mistake, if so, generating triggering
Signal, if it is not, then terminating.
User's learning behavior record includes answer class data, learning time class data, omics data and learning behavior
Class data.
The study class metadata tag includes knowledge point label, mistake because of label and subject label.
It includes following one that the condition of non-knowledge point mistake is preset in the triggering:
A) it wrong does wrong quantity because reaching preset cumulative on label identical；
B) it grasps knowledge point and is lower than limit value；
C) reach and preset non-knowledge point examination question exam pool examination question quantity.
This method further include:
4) according to the trigger signal, by user knowledge point mistake topic exam pool metadata and the study class metadata tag into
Row matching calls non-knowledge point examination question data corresponding with wrong topic, feeds back to user.
This method further include:
5) when receiving user feedback signal, by user knowledge point exam pool metadata and the study class metadata tag
It is matched, calls knowledge point examination question corresponding with wrong topic, feed back to user.
Non- knowledge point wrong identification system in a kind of adaptive teaching, comprising:
Acquisition module, for acquiring the study class metadata tag of user's learning behavior record and corresponding user；
Matching module carries out matching treatment for the study class metadata tag and user to be learnt row record；
Determination module triggers the condition for presetting non-knowledge point mistake for judging whether to meet according to matching result, if so,
Trigger signal is then generated, if it is not, then terminating.
The system further include:
Non- knowledge point calling module, the response when receiving the trigger signal, for user knowledge point mistake to be inscribed exam pool
Metadata is matched with the study class metadata tag, is called non-knowledge point examination question data corresponding with wrong topic, is fed back to
User.
The system further include:
Knowledge point calling module, the response when receiving user feedback signal are used for user knowledge point exam pool metadata
It is matched with the study class metadata tag, calls knowledge point examination question corresponding with wrong topic, feed back to user.
Compared with prior art, the present invention have with following the utility model has the advantages that
First, the present invention obtains accurately study situation data, and then can be more by acquisition user's real-time learning record
Accurately, more targetedly identify non-knowledge point mistake, so facilitate it is subsequent according to non-knowledge point mistake carry out for processing.
Second, the present invention identifies that the non-of user is known by acquisition learning behavior record and the metadata comprising learning information
Know point mistake, can solve to improve teachers' instruction quality for non-knowledge point mistake in time, targetedly to a progress of losing points
Education of interference improves student performance.
Third, whether operation or the examination of Traditional Classroom User are all obtained just be obtained coming from after a period of time and be answered
Whether case is correctly fed back, and since number of student is numerous, teacher is also difficult to give for the cognitive question of individual student and instruct, because
This User is often confused about the very crux of oneself problem, and the present invention is by inscribing exam pool member from User knowledge point mistake
The label of data and study class metadata matches, and recalls the corresponding non-knowledge point examination question of User mistake topic, and feed back to
User can allow user to understand itself learning state, and then improve learning efficiency.
4th, the cognition of User mistake fails correctly to be fed back in time, when passing through one section from formed to solidifying
Between, the mistake of autognosis is corrected, allows User to make the disease of problem clear except through the introduction of veteran teacher
Where knot, it is also necessary to allow User that will see clearly and be converted into strong action.The present invention is provided with study class metadata tag, leads to
The label of overfitting class metadata can be associated with out knowledge point identical with the cognition of User mistake, make User logical
It crosses correct cognition reinforcing strategy and achievees the purpose that cognition correcting, User do not recommit identical mistake, effectively improve study effect
Rate.
Detailed description of the invention
Fig. 1 is flow diagram of the invention；
Fig. 2 is non-knowledge point error correcting process of feedback figure of the invention.
Specific embodiment
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.The present embodiment is with technical solution of the present invention
Premised on implemented, the detailed implementation method and specific operation process are given, but protection scope of the present invention is not limited to
Following embodiments.
As shown in Figure 1, the present invention provides a kind of non-knowledge point wrong identification method in adaptive teaching, including following step
It is rapid:
1) acquisition user's learning behavior record and the study class metadata tag of corresponding user.
User's learning behavior record includes answer class data, learning time class data, omics data and learning behavior
Class data.The study class metadata tag includes knowledge point label, mistake because of label and subject label.
2) the study class metadata tag and user are learnt into row record and carry out matching treatment,
3) judge whether to meet according to matching result and trigger the condition for presetting non-knowledge point mistake, if so, generating triggering
Signal, if it is not, then terminating.
It includes following one that the condition of non-knowledge point mistake is preset in the triggering: a) in identical mistake because reaching default on label
Accumulate the quantity that does wrong；B) it grasps knowledge point and is lower than limit value；C) reach and preset non-knowledge point examination question exam pool examination question quantity.
In another embodiment, 4) this method is further comprised the steps of: according to the trigger signal, and user knowledge point mistake topic is inscribed
Library metadata is matched with the study class metadata tag, calls non-knowledge point examination question data corresponding with wrong topic, feedback
To user, as shown in Figure 2.
Non- knowledge point examination question exam pool is to inscribe exam pool according to User knowledge point mistake to do reorganization acquisition.By feeding back to user
Non- knowledge point examination question data can allow User can according to mistake topic non-knowledge point mistake do self-correcting, reach student
User sees clearly the purpose of the erroneous cognition about oneself.
In another embodiment, this method further comprises the steps of: 5) when receiving user feedback signal, by user knowledge point
Exam pool metadata and the study class metadata tag are matched, and are called knowledge point examination question corresponding with wrong topic, are fed back to use
Family.By the step, user can be examined to pass through after education of interference, if effectively grasp the knowledge point.
The present invention also provides non-knowledge point wrong identification systems in a kind of adaptive teaching corresponding with the above method, including
Acquisition module, matching module and determination module, acquisition module are used to acquire user's learning behavior record and corresponding user
Practise class metadata tag；Matching module is used to the study class metadata tag and user learning row record to carry out at matching
Reason；Determination module is used to judge whether to meet the condition that non-knowledge point mistake is preset in triggering according to matching result, if so, generating
Trigger signal, if it is not, then terminating.
In another embodiment, which further includes non-knowledge point calling module, is rung when receiving the trigger signal
It answers, for matching user knowledge point mistake topic exam pool metadata with the study class metadata tag, calls and wrong topic pair
The non-knowledge point examination question data answered feed back to user, while can receive user feedback signal.
In another embodiment, which further includes knowledge point calling module, the response when receiving user feedback signal,
For matching user knowledge point exam pool metadata and the study class metadata tag, knowledge corresponding with wrong topic is called
Point examination question feeds back to user, while can receive user feedback signal.
The preferred embodiment of the present invention has been described in detail above.It should be appreciated that those skilled in the art without
It needs creative work according to the present invention can conceive and makes many modifications and variations.Therefore, all technologies in the art
Personnel are available by logical analysis, reasoning, or a limited experiment on the basis of existing technology under this invention's idea
Technical solution, all should be within the scope of protection determined by the claims.
Claims (9)
1. a kind of non-knowledge point wrong identification method in adaptive teaching, which comprises the following steps:
1) acquisition user's learning behavior record and the study class metadata tag of corresponding user；
2) the study class metadata tag and user are learnt into row record and carries out matching treatment；
3) judge whether to meet according to matching result and trigger the condition for presetting non-knowledge point mistake, if so, trigger signal is generated,
If it is not, then terminating.
2. non-knowledge point wrong identification method in adaptive teaching according to claim 1, which is characterized in that the user
Learning behavior record includes answer class data, learning time class data, omics data and learning behavior class data.
3. non-knowledge point wrong identification method in adaptive teaching according to claim 1, which is characterized in that the study
Class metadata tag includes knowledge point label, mistake because of label and subject label.
4. non-knowledge point wrong identification method in adaptive teaching according to claim 1, which is characterized in that the triggering
The condition for presetting non-knowledge point mistake includes following one:
A) it wrong does wrong quantity because reaching preset cumulative on label identical；
B) it grasps knowledge point and is lower than limit value；
C) reach and preset non-knowledge point examination question exam pool examination question quantity.
5. non-knowledge point wrong identification method in adaptive teaching according to claim 1, which is characterized in that this method is also
Include:
4) according to the trigger signal, by user knowledge point mistake topic exam pool metadata and study class metadata tag progress
Match, calls non-knowledge point examination question data corresponding with wrong topic, feed back to user.
6. non-knowledge point wrong identification method in adaptive teaching according to claim 5, which is characterized in that this method is also
Include:
5) when receiving user feedback signal, user knowledge point exam pool metadata and the study class metadata tag are carried out
Matching calls knowledge point examination question corresponding with wrong topic, feeds back to user.
7. non-knowledge point wrong identification system in a kind of adaptive teaching characterized by comprising
Acquisition module, for acquiring the study class metadata tag of user's learning behavior record and corresponding user；
Matching module carries out matching treatment for the study class metadata tag and user to be learnt row record；
Determination module triggers the condition for presetting non-knowledge point mistake for judging whether to meet according to matching result, if so, producing
Raw trigger signal, if it is not, then terminating.
8. non-knowledge point wrong identification system in adaptive teaching according to claim 7, which is characterized in that the system is also
Include:
Non- knowledge point calling module, the response when receiving the trigger signal, for user knowledge point mistake to be inscribed exam pool member number
It is matched according to the study class metadata tag, calls non-knowledge point examination question data corresponding with wrong topic, feed back to user.
9. non-knowledge point wrong identification system in adaptive teaching according to claim 7, which is characterized in that the system is also
Include:
Knowledge point calling module, the response when receiving user feedback signal are used for user knowledge point exam pool metadata and institute
It states study class metadata tag to be matched, calls knowledge point examination question corresponding with wrong topic, feed back to user.
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| CN110414837A (en) * | 2019-07-29 | 2019-11-05 | 上海乂学教育科技有限公司 | Based on mistake because of the man-machine interactive system of analysis |
| CN110634341A (en) * | 2019-10-15 | 2019-12-31 | 上海乂学教育科技有限公司 | Auxiliary system for preparing lessons for teachers |
| CN110909035A (en) * | 2019-10-31 | 2020-03-24 | 艾小本科技(武汉)有限公司 | Personalized review question set generation method and device, electronic equipment and storage medium |
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Address after: Room B381, 588 Tianlin East Road, Xuhui District, Shanghai, 2003 Applicant after: Shanghai squirrel classroom Artificial Intelligence Technology Co., Ltd Address before: Room B381, 588 Tianlin East Road, Xuhui District, Shanghai, 2003 Applicant before: SHANGHAI YIXUE EDUCATION TECHNOLOGY Co.,Ltd. |
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