CN109271307A - A kind of student's study situation statistical method based on big data - Google Patents
A kind of student's study situation statistical method based on big data Download PDFInfo
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- CN109271307A CN109271307A CN201811265592.4A CN201811265592A CN109271307A CN 109271307 A CN109271307 A CN 109271307A CN 201811265592 A CN201811265592 A CN 201811265592A CN 109271307 A CN109271307 A CN 109271307A
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- G—PHYSICS
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- G06F11/00—Error detection; Error correction; Monitoring
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Abstract
The invention discloses a kind of, and the student based on big data learns situation statistical method.Its method includes: the learning time of statistic learning knowledge point, and obtains the course of solving questions data of Students ' Problem-solving and result data of solving a problem if course of solving questions error in data judges whether the learning time of the corresponding knowledge point of topic reaches predetermined value；If not up to predetermined value, judgement solves a problem error reason as non-learning knowledge point, if reaching predetermined value, judgement solves a problem error reason not grasp knowledge point；If course of solving questions data are correct but result data mistake of solving a problem, judgement solve a problem error reason as carelessness；Finally by the wrong topic of solution of each user solve a problem error reason and corresponding knowledge point saves as learning state data, and be put into staqtistical data base, in order to which teacher is based on learning state data and learns situation to student counting.The present invention being capable of accurate statistics student study situation.
Description
Technical field
The present invention relates to Internet technical field, especially a kind of student based on big data learns situation statistical method.
Background technique
In online Web education, learns the statistics of situation for student, usually united according to the learning time of student
Meter, the calculating of learning time be it is more rough, student is substantially seen to the time of video to replace the learning time of student, so
And the learning time of student can not the study situation of entirely accurate reflection student may be simultaneously because student is during seeing video
Do not learning, therefore, using this method can not accurate statistics go out the study situation of student.
Summary of the invention
Goal of the invention of the invention is: in view of the above problems, providing a kind of student's study based on big data
Situation statistical method, being capable of accurate statistics student study situation.
In order to solve the above technical problems, one technical scheme adopted by the invention is that: a kind of based on big data is provided
Raw study situation statistical method, comprising the following steps: whether detection user uses electronic instruction terminal；Detecting user's use
When electronic instruction terminal, it is also non-study application that detection user, which opens study application,；If opening study application, user is detected
Knowledge point set or workbook are opened in study application；If opening knowledge point set, it is determined that user currently learnt
Knowledge point, and the learning time of the knowledge point is added up；If opening workbook, it is determined that the topic that user currently solves a problem
Mesh, and obtain course of solving questions data and result data of solving a problem；By the course of solving questions data and solve a problem result data and knowledge point
Reference data of solving a problem in database is matched, according to matching result judge course of solving questions data and solve a problem result data whether
Mistake；If course of solving questions error in data, judge whether the learning time of the corresponding knowledge point of the topic reaches predetermined value；
If not up to predetermined value, judgement solves a problem error reason as non-learning knowledge point, if reaching predetermined value, determines mistake of solving a problem
Accidentally reason is not grasp knowledge point；If course of solving questions data are correct but result data mistake of solving a problem, judgement are solved a problem wrong former
Because careless；By the wrong topic of solution of each user solve a problem error reason and corresponding knowledge point saves as learning state data,
And be put into staqtistical data base, student's study situation is counted in order to which teacher is based on learning state data.
Preferably, the student learns situation statistical method further include: if opening non-study application, counts described non-
Learn the opening time of application；The opening time that the non-study of each user is applied is saved in learning state data, and is put
Enter in staqtistical data base.
Preferably, whether the detection user is specifically included using the step of electronic instruction terminal: passing through electronic instruction end
End receives the account inputted and password and acquisition user's head portrait；Judge whether the account and password correct and head of acquisition
It seem no to match with pre-stored user's head portrait；If the account and password be correct and the head portrait of acquisition with deposit in advance
User's head portrait of storage matches, then is determined as that user uses electronic instruction terminal；If the account and password bad or acquisition
Head portrait and pre-stored user's head portrait mismatch, then be determined as that electronic instruction terminal is not used in user.
Preferably, the electronic instruction terminal is smart phone or tablet computer.
In conclusion by adopting the above-described technical solution, the student of the invention based on big data learns situation statistics
Method passes through the analysis by student to the wrong reason of solution of the statistics of the learning time of concrete knowledge point and the wrong topic of the solution of student
It combines, counts the learning state data of all students, learn situation so as to accurate statistics student, teacher can be directed to
Learning state data analyze the complexity of knowledge point or the global learning situation of student, make teacher more targetedly and
Comprehensively knowledge point or student are taught, conducive to the quality of instruction for improving teacher.
Specific embodiment
All features disclosed in this specification or disclosed all methods or in the process the step of, in addition to mutually exclusive
Feature and/or step other than, can combine in any way.
Any feature disclosed in this specification (including any accessory claim, abstract), unless specifically stated,
It is replaced by other equivalent or with similar purpose alternative features.That is, unless specifically stated, each feature is a series of
An example in equivalent or similar characteristics.
In the present embodiment, it includes following step that the student based on big data of the embodiment of the present invention, which learns situation statistical method,
It is rapid:
Whether detection user uses electronic instruction terminal.
In the present embodiment, step S1 is specifically included: by electronic instruction terminal receive input account and password and
Acquire user's head portrait；Judge whether account and password correct and head portrait of acquisition whether with pre-stored user's head portrait phase
Match；If account and password are correctly and the head portrait of acquisition is matched with pre-stored user's head portrait, it is determined as that user uses
Electronic instruction terminal；If account and password bad or the head portrait of acquisition and pre-stored user's head portrait mismatch, sentence
It is set to user and electronic instruction terminal is not used.
It, can be with user bound, so that statistical result confidence level is higher by the detection of account and password and head portrait.Electronics
Instructional terminal can be smart phone or tablet computer.
When detecting user using electronic instruction terminal, it is also non-study application that detection user, which opens study application,.
Wherein, it if account and password be correct and the head portrait of acquisition is matched with pre-stored user's head portrait, means that
User is detected using electronic instruction terminal, detecting user at this time and opening study application is also non-study application.Electronic instruction is whole
End is used as electronic product, can install any application, these applications include study application and non-study application.
If opening study application, detects user and open knowledge point set or workbook in study application.
It wherein, include knowledge point set and workbook in study application, knowledge point set includes the explanation content to each knowledge point,
Workbook includes the corresponding topic in each knowledge point.
If opening knowledge point set, it is determined that the knowledge point that user currently learns, and the learning time of knowledge point is carried out
It is accumulative.
Wherein, it detects that knowledge point set is opened, then automatically determines the knowledge point currently learnt.The study of each knowledge point
Time individually adds up.
If opening workbook, it is determined that the topic that user currently solves a problem, and obtain course of solving questions data and result of solving a problem
Data.
Course of solving questions data and result data of solving a problem are matched with the reference data of solving a problem in knowledge point database, root
According to matching result judge course of solving questions data and solve a problem result data whether mistake.
Wherein, course of solving questions data and solve a problem result data respectively with the course of solving questions in reference data of solving a problem and knot of solving a problem
Fruit is matched.
If course of solving questions error in data, judge whether the learning time of the corresponding knowledge point of topic reaches predetermined value.
If not up to predetermined value, judgement solve a problem error reason be non-learning knowledge point sentence if reaching predetermined value
Surely error reason of solving a problem is not grasp knowledge point.
Wherein, the topic solution of student is wrong, and course of solving questions mistake, no matter whether result of solving a problem is correct, as long as corresponding knowledge
The learning time of point is below standard, and error reason of all thinking to solve a problem for non-learning knowledge point, knows for identifying this by non-learning knowledge point
Know point not to be learnt by student also, although and do not grasp knowledge point and learnt by student for identifying the knowledge point, student is also not
It grasps.
If course of solving questions data are correct but result data mistake of solving a problem, judgement solve a problem error reason as carelessness.
Wherein, the topic solution of student is wrong, although solving a problem result data mistake, course of solving questions data are correct, then it is assumed that
Error reason of solving a problem is carelessness, has grasped knowledge point for identifying student, but because solving wrong topic caused by carelessness.
By the wrong topic of solution of each user solve a problem error reason and corresponding knowledge point saves as learning state data, and
It is put into staqtistical data base, student's study situation is counted in order to which teacher is based on learning state data.
Wherein, after the learning state data of all users are put into staqtistical data base, big data is just constituted, teacher can be with
The study situation for checking the student of oneself teaching, can targetedly teach student according to learning state data, such as
The non-learning knowledge point of Most students then can carry out knowledge point explanation to whole students, know if small part student does not grasp
Know point, then can carry out instruction after class to the partial students can supervise change if some student is careless to the student
Into.In addition, teacher can also judge the knowledge point according to the learning state data of whole users of some concrete knowledge point
Complexity, in order to explain the knowledge point, such as the corresponding topic in some knowledge point, mistake of solving a problem emphatically to the student to be imparted knowledge to students
Accidentally reason is to account for the case where not grasping knowledge point all to solve a problem 50% or more of error reason, then is retelling to the knowledge point
Solution.
In the present embodiment, student learns situation statistical method further include: if opening non-study application, counts non-
Practise the opening time of application；The opening time that the non-study of each user is applied is saved in learning state data, and is put into
In staqtistical data base.
Wherein, teacher can judge whether student puts into too many energy in extracurricular according to the opening time, thus to student into
Row supervises improvement.
By the above-mentioned means, student of the invention based on big data learn situation statistical method by by student to specific
The analysis of the statistics of the learning time of knowledge point and the wrong reason of solution of the wrong topic of the solution of student combines, and counts all students
Learning state data, learn situation so as to accurate statistics student, teacher can analyze and know for learning state data
Know the complexity of point or the global learning situation of student, makes teacher more targetedly and comprehensively to knowledge point or
Life is taught, conducive to the quality of instruction for improving teacher.
The invention is not limited to specific embodiments above-mentioned.The present invention, which expands to, any in the present specification to be disclosed
New feature or any new combination, and disclose any new method or process the step of or any new combination.
Claims (4)
1. a kind of student based on big data learns situation statistical method, which comprises the following steps:
Whether detection user uses electronic instruction terminal；
When detecting user using electronic instruction terminal, it is also non-study application that detection user, which opens study application,；
If opening study application, detects user and open knowledge point set or workbook in study application；
If opening knowledge point set, it is determined that the knowledge point that user currently learns, and the learning time of the knowledge point is carried out
It is accumulative；
If opening workbook, it is determined that the topic that user currently solves a problem, and obtain course of solving questions data and result data of solving a problem；
The course of solving questions data and result data of solving a problem are matched with the reference data of solving a problem in knowledge point database, root
According to matching result judge course of solving questions data and solve a problem result data whether mistake；
If course of solving questions error in data, judge whether the learning time of the corresponding knowledge point of the topic reaches predetermined value；
If not up to predetermined value, judgement solve a problem error reason be non-learning knowledge point determine to solve if reaching predetermined value
Topic error reason is not grasp knowledge point；
If course of solving questions data are correct but result data mistake of solving a problem, judgement solve a problem error reason as carelessness；
By the wrong topic of solution of each user solve a problem error reason and corresponding knowledge point saves as learning state data, and be put into
In staqtistical data base, student's study situation is counted in order to which teacher is based on learning state data.
2. student according to claim 1 learns situation statistical method, which is characterized in that the student learns situation statistics
Method further include:
If opening non-study application, the opening time of the non-study application is counted；
The opening time that the non-study of each user is applied is saved in learning state data, and is put into staqtistical data base.
3. student according to claim 2 learns situation statistical method, which is characterized in that whether the detection user uses
The step of electronic instruction terminal, specifically includes:
The account inputted and password and acquisition user's head portrait are received by electronic instruction terminal；
Judge whether the account and password are correct and whether head portrait of acquisition matches with pre-stored user's head portrait；
If the account and password are correctly and the head portrait of acquisition is matched with pre-stored user's head portrait, it is determined as user
Use electronic instruction terminal；
If the account and password bad or the head portrait of acquisition and pre-stored user's head portrait mismatch, it is judged to using
Electronic instruction terminal is not used in family.
4. student according to claim 1 learns situation statistical method, which is characterized in that the electronic instruction terminal is intelligence
It can mobile phone or tablet computer.
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| CN201811265592.4A CN109271307A (en) | 2018-10-29 | 2018-10-29 | A kind of student's study situation statistical method based on big data |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112184505A (en) * | 2020-09-30 | 2021-01-05 | 北京有竹居网络技术有限公司 | Information processing method and device and computer storage medium |
| CN112667785A (en) * | 2021-01-27 | 2021-04-16 | 武汉悦学帮网络技术有限公司 | Learning situation analysis method and device and computer readable storage medium |
| CN114820254A (en) * | 2022-04-15 | 2022-07-29 | 光合新知(北京)科技有限公司 | Knowledge mastering strategy analysis method and system based on student to wrong questions |
| CN115909210A (en) * | 2022-12-02 | 2023-04-04 | 北京思想天下教育科技有限公司 | Effective learning time statistical system |
| CN117648934A (en) * | 2024-01-30 | 2024-03-05 | 青岛培诺教育科技股份有限公司 | Knowledge point determining method, device, equipment and medium based on error test questions |
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| CN117648934A (en) * | 2024-01-30 | 2024-03-05 | 青岛培诺教育科技股份有限公司 | Knowledge point determining method, device, equipment and medium based on error test questions |
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