CN109801195A - Internet online teaching management system based on three-level early warning mechanism - Google Patents
Internet online teaching management system based on three-level early warning mechanism Download PDFInfo
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Abstract
The internet online teaching management system based on three-level early warning mechanism that the invention discloses a kind of, comprising: learning tasks module, the learning tasks module execute following steps: step S11 presets learning tasks；Step S12, the performance of recording learning task；Three-level warning module, the three-level warning module execute following steps: step S21, are respectively provided with three-level early warning to all learning tasks, and the corresponding early warning threshold values of every grade of early warning is arranged for different learning tasks；Learning tasks performance is compared by step S22 with early warning threshold values, determines warning level；Step S23 sends warning information according to warning level.The present invention can carry out teaching evaluation and management with assisted teacher, mitigate the teaching pressure of teacher, promote efficiency of teaching.
Description
Technical field
The present invention relates to internet online education technologies, and in particular to online teaching management system.
Background technique
In recent years, online teaching has become increasingly popular to appear in campus, becomes the weight of teachers ' teaching, student's study
Want assistant.Using this novel teaching method, teacher quickly quotes good teaching resource, easily in addition to can be convenient
Except preparing lessons, moreover it is possible to arrange online assignment, on-line testing, preview operation etc..But how the on-line study of student is carried out
Effectively management, teachers tend to feel embarrassed, and the reasons are as follows: 1, learning compared with tradition, on-line study task is often more
Add the independence of test student, study is in when learnt by mobile terminal, it is more likely that can be by other unrelated
Using attention is attracted, delay the time for completing learning tasks；2, when learning tasks are related to multiple subjects, various learning tasks
When, if teacher it is to be understood that all classmates performance, and the classmate of performance difference is reminded, when can spend more
Between, energy.Therefore, how to mitigate the teaching pressure of teacher by on-line teaching system, promotion efficiency of teaching, which becomes, urgently to be studied
New issue.
Summary of the invention
The technical problem to be solved by the invention is to provide a kind of internet online teachings based on three-level early warning mechanism
Management system is analyzed according to the data of on-line study, and assisted teacher carries out teaching evaluation and management.
In order to solve the above technical problems, the present invention adopts the following technical scheme: the internet based on three-level early warning mechanism exists
Line Education Administration Information System, comprising:
Learning tasks module, the learning tasks module execute following steps:
Step S11, presets learning tasks；
Step S12, the performance of recording learning task；
Three-level warning module, the three-level warning module execute following steps:
Step S21 is respectively provided with three-level early warning to all learning tasks, and every grade of early warning pair is arranged for different learning tasks
The early warning threshold values answered；
Learning tasks performance is compared by step S22 with early warning threshold values, determines warning level；
Step S23 sends warning information according to warning level.
Optionally, the learning tasks include login, operation, on-line testing, feelings are learned in knowledge point, classroom shows, school work is negative
Load, wherein operation previews operation and operation accuracy including handing in homework, handing over, and on-line testing is including participation on-line testing and online
Pass rate is tested, school work burden includes adding up practice periods and late into the night last week study number of days on line last week.
Optionally, the following conditions arbitrarily meet more than one, then trigger level-one early warning: being not logged in for three days on end, is 3 times continuous
Operation, which is not submitted, previews operation for continuous 3 times does not submit, continuous 3 subjob accuracy is lower than 60%, has neither part nor lot in for continuous 1 time online
Test, continuous 1 on-line testing fail, continuous 7 days points of not acquiring new knowledge, the performance of continuous 3 classrooms are passive, on upper contour
Practice periods are accumulative to be added up more than 14 hours, late into the night last week study number of days more than 3 days；The following conditions arbitrarily meet more than one,
It then triggers second level early warning: being not logged within continuous 5 days, continuous 5 subjob is not submitted, previews operation for continuous 5 times does not submit, is 5 times continuous
Operation accuracy lower than 60%, have neither part nor lot in on-line testing for continuous 2 times, continuous 3 on-line testings are failed, are not grasped within continuous 15 days
It is accumulative more than 17.5 hours, late into the night last week study day that new knowledge point, continuous 5 classrooms show practice periods on passive, upper contour
Number is accumulative more than 4 days；The following conditions arbitrarily meet more than one, then trigger three-level early warning: being not logged within continuous 10 days, is 10 times continuous
Operation, which is not submitted, previews operation for continuous 10 times does not submit, continuous 10 subjob accuracy is lower than 60%, has neither part nor lot in for continuous 3 times
Line is tested, continuous 5 on-line testings are failed, continuous 30 days points of not acquiring new knowledge, the performance passiveness of continuous 10 classrooms, last week
Practice periods are accumulative on line adds up more than 21 hours, late into the night last week study number of days more than 5 days.
Optionally, when being determined as level-one early warning, system is by the automatic warning information that sends to by client's end page of early warning student
Face；When being determined as second level early warning, system by it is automatic send warning information to by the customer terminal webpage of the student of early warning, be responsible for
The customer terminal webpage of the form master；When being determined as three-level early warning, system is by the automatic warning information that sends to by the visitor of the student of early warning
Family end page face, the customer terminal webpage for the form master being responsible for and the customer terminal webpage of parents of student.
Optionally, warning information is sent to customer terminal webpage, when client is not landed, is sent to setting mobile phone.
Optionally, the three-level warning module further includes the client executed sending the second level warning information Shi Xiang form master
The step of page sends the step of questionnaire, sends questionnaire to the customer terminal webpage of parent when sending three-level warning information.
Optionally, the three-level warning module further includes the steps that executing early warning number statistics.
Optionally, which further includes executing the client that the learning tasks of teacher's arrangement are pushed to student
The step of page.
Optionally, which further includes executing client's end page that learning tasks performance is pushed to student
The step of face.
The present invention by adopting the above technical scheme, has the following beneficial effects:
1, system can automatically summarize the learning tasks that teacher assigns student, and show that task includes in homepage
The deadline of task names, task details and completion facilitates student to understand learning tasks in time when logging in study.
2, student can also look at the performance of oneself learning tasks, including operation accuracy, rate of passing the examination and class
Hall performance etc..
3, each learning tasks of learning tasks module and each project of learning and mastering module are provided with level-one, two
Grade, three-level early warning, the early warning of different stage need different condition just to can trigger.
4, record statistic learning tasks module does not complete the completion quality of number and learning and mastering module, and student is not complete
At number reach certain numerical value or complete learning and mastering degree lower than to a certain degree when, trigger the early warning of different stage.
5, pre-warning content includes system notice and subsidiary questionnaire, and the warning level of triggering is different, the object that questionnaire is sent
Also different, the form master and parents of student including student oneself, student.
6, for the difference of warning level, student will carry out self remedying or complete to mend under the guidance of the form master and parent
Measure is rescued, study and the successes achieved in teaching are consolidated.
7, after remedial measure implements a period of time, student, which can check, remedies achievement.
Under this system, student can complete in time lessons task based on the task that teacher is given；It is supervised when oneself lacking self
Early warning is triggered when superintending and directing, and assists oneself to make up lessons defect by teacher and parent.It is correct timely that itself can be cultivated in the process
On-line study habit, be continuously improved the learning autonomy of itself, realize efficiently study.Therefore, this system can be with assisted teacher
Teaching evaluation and management are carried out, the teaching pressure of teacher is mitigated, promotes efficiency of teaching.
The specific technical solution of the present invention and its advantages will in the following detailed description in conjunction with attached drawing into
Row detailed description.
Detailed description of the invention
Present invention will be further described below with reference to the accompanying drawings and specific embodiments:
Fig. 1 is principle schematic diagram of the present invention.
Specific embodiment
The line learning behavior for how effectively managing student, on-line teaching system and teaching management are carried out be in conjunction with depth
Realize the key of Informalized teaching tool normality application.Therefore, the present invention provides a set of assistance teacher and the form master carries out online
The tool of teaching management.
As shown in Figure 1, the internet online teaching management system based on three-level early warning mechanism, comprising:
Learning tasks module, the learning tasks module execute following steps:
Step S11, presets learning tasks；
Step S12, the performance of recording learning task；
Three-level warning module, the three-level warning module execute following steps:
Step S21 is respectively provided with three-level early warning to all learning tasks, and every grade of early warning pair is arranged for different learning tasks
The early warning threshold values answered；
Learning tasks performance is compared by step S22 with early warning threshold values, determines warning level；
Step S23 sends warning information according to warning level.
Wherein, the learning tasks include login, operation, on-line testing, feelings are learned in knowledge point, classroom shows, school work burden.
Operation previews operation and operation accuracy including handing in homework, handing over, and on-line testing includes participating in on-line testing and on-line testing qualifying
Rate, school work burden include adding up practice periods and late into the night last week study number of days on line last week.
The knowledge point knowledge point Xue Qingji Grasping level, knowledge point Grasping level basic calculating formula: KMD=P (θ) * R,
The individual students that middle P (θ) expression ability is θ are opposed the probability of certain topic, and amplification here is used to approximate assessment of students' individual to topic
The Grasping level of knowledge point associated by mesh.Calculation formula is P (θ)=1/ (1+e^ (b- θ)), and e is natural constant, 2.71828,
B is degree-of-difficulty factor, and it is individual students ability value that value, which is 0, θ, herein, reference formula:
Correct number is answered in the last sample of tr expression, tw indicates that erroneous answers number grasps knowledge in a sample
Point.Whether knowledge point is grasped, the threshold value being arranged here be kmd >=0.75.Certainly, it will be appreciated by those skilled in the art that
, mastery of knowledge situation is determined, can also with apply before application reference people patent (publication number 107038663A,
107133196A)。
Classroom performance refers to that during giving lessons using " the wisdom classroom " of system, teacher is fed back using random roll-call, with hall
It is interacted with student, if the behavior scoring that teacher is student after interaction (is scored, system records score data, comments by system
It is divided into student's scoring to score with group), if interaction marking score value > 0 every time, student performance are excellent；If=0, performance disappears
Pole.Added up practice periods on line last week and refers to that 0:00 last Monday logs in learning time to 24:00 student's last Sunday is accumulative.The late into the night is learned
The timing definition of habit is 23:00-05:00.
The three-level warning module includes: level-one early warning, second level early warning, three-level early warning.The following conditions arbitrarily meet one
More than, then it triggers level-one early warning: being not logged in for three days on end, continuous 3 subjob is not submitted, previews operation for continuous 3 times does not submit, even
Continuous 3 subjob accuracy lower than 60%, have neither part nor lot in on-line testing for continuous 1 time, continuous 1 on-line testing is failed, continuous 7 days not
Acquiring new knowledge, point, the performance of continuous 3 classrooms be passive, practice periods are accumulative more than 14 hours, the study of late into the night last week on upper contour
Number of days is accumulative more than 3 days；The following conditions arbitrarily meet more than one, then trigger second level early warning: being not logged within continuous 5 days, is 5 times continuous
Operation, which is not submitted, previews operation for continuous 5 times does not submit, continuous 5 subjob accuracy is lower than 60%, has neither part nor lot in for continuous 2 times online
It tests, continuous 3 on-line testings are failed, continuous 15 days points of not acquiring new knowledge, the performance passiveness of continuous 5 classrooms, upper contour
Upper practice periods are accumulative to be added up more than 17.5 hours, late into the night last week study number of days more than 4 days；The following conditions arbitrarily meet one with
On, then it triggers three-level early warning: being not logged within continuous 10 days, continuous 10 subjob is not submitted, previews operation for continuous 10 times does not submit, even
Continuous 10 subjob accuracy lower than 60%, have neither part nor lot in on-line testing for continuous 3 times, continuous 5 on-line testings fail, are 30 days continuous
Not acquiring new knowledge, point, the performance of continuous 10 classrooms be passive, practice periods are accumulative more than 21 hours, late into the night last week on upper contour
It is accumulative more than 5 days to practise number of days.
When being determined as level-one early warning, system to by the customer terminal webpage of early warning student, reminds the automatic warning information that sends
It draws attention to the behavior for causing early warning.When being determined as second level early warning, system is by the automatic warning information that sends to by early warning
The customer terminal webpage of student, the form master being responsible for customer terminal webpage；When being determined as three-level early warning, system will send pre- automatically
Alert information is to by the client of the customer terminal webpage of the student of early warning, the customer terminal webpage for the form master being responsible for and parents of student
The page.Warning information is sent to customer terminal webpage, when client is not landed, is sent to setting mobile phone.
The three-level warning module further includes the customer terminal webpage hair executed sending the second level warning information Shi Xiang form master
The step of sending questionnaire, when sending three-level warning information to the customer terminal webpage of parent send questionnaire the step of.The form master needs
The learning ability and learning tasks for assessing the life, consider whether for its carry out learning tasks adjustment or for its arrangement remedy task,
Course.Parent need to feed back the learning performance of student, school work pressure feedback and other explanations, assist teacher to carry out family school total
It educates.
After second level, three-level early warning, the study remedial efforts of the form master and parent intervention student, student complete to remedy class
Journey or task after exchanging with the form master with parent, need to complete a questionnaire, assess the validity of remedial measure.
The three-level warning module further includes the steps that executing early warning number statistics.The form master and parent look into which can be convenient
It sees that the life is subsequent whether to make moderate progress, no longer triggering early warning.
The learning tasks module further includes executing the customer terminal webpage that the learning tasks of teacher's arrangement are pushed to student
Step.
The learning tasks module further includes executing the step for the customer terminal webpage that learning tasks performance is pushed to student
Suddenly.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, is familiar with
The those skilled in the art should be understood that the present invention includes but is not limited to content described in specific embodiment above.It is any
Modification without departing from function and structure principle of the invention is intended to be included in the range of claims.
Claims (9)
1. the internet online teaching management system based on three-level early warning mechanism, characterized by comprising:
Learning tasks module, the learning tasks module execute following steps:
Step S11, presets learning tasks；
Step S12, the performance of recording learning task；
Three-level warning module, the three-level warning module execute following steps:
Step S21 is respectively provided with three-level early warning to all learning tasks, and it is corresponding for different learning tasks every grade of early warning to be arranged
Early warning threshold values；
Learning tasks performance is compared by step S22 with early warning threshold values, determines warning level；
Step S23 sends warning information according to warning level.
2. the internet online teaching management system according to claim 1 based on three-level early warning mechanism, it is characterised in that:
The learning tasks include that feelings are learned in logins, operation, on-line testing, knowledge point, classroom performance, school work are born, wherein operation includes
It hands in homework, hand over and preview operation and operation accuracy, on-line testing includes participating in on-line testing and on-line testing pass rate, and school work is negative
Load includes adding up practice periods and late into the night last week study number of days on line last week.
3. the internet online teaching management system according to claim 2 based on three-level early warning mechanism, it is characterised in that:
The following conditions arbitrarily meet more than one, then trigger level-one early warning: be not logged in for three days on end, continuous 3 subjob is not submitted, continuous 3
It is secondary preview operation do not submit, continuous 3 subjob accuracy lower than 60%, have neither part nor lot in for continuous 1 time on-line testing, continuous 1 time it is online
Test, which fails, continuous 7 days points of not acquiring new knowledge, the performance of continuous 3 classrooms are passive, practice periods are accumulative on upper contour is more than
14 hours, late into the night last week study number of days it is accumulative more than 3 days；The following conditions arbitrarily meet more than one, then trigger second level early warning: even
It is not logged within continuous 5 days, continuous 5 subjob is not submitted, previews that operation is not submitted, continuous 5 subjob accuracy is lower than for continuous 5 times
60%, on-line testing is had neither part nor lot in continuous 2 times, continuous 3 on-line testings are failed, continuous 15 days points of not acquiring new knowledge, continuous 5
Practice periods are accumulative in secondary classroom performance passiveness, upper contour adds up more than 17.5 hours, late into the night last week study number of days more than 4 days；
The following conditions arbitrarily meet more than one, then trigger three-level early warning: being not logged within continuous 10 days, continuous 10 subjob is not submitted, even
Preview for continuous 10 times operation do not submit, continuous 10 subjob accuracy lower than 60%, have neither part nor lot in on-line testing for continuous 3 times, be 5 times continuous
On-line testing fails, continuous 30 days points of not acquiring new knowledge, the performance of continuous 10 classrooms are passive, practice periods are tired on upper contour
Meter adds up more than 21 hours, late into the night last week study number of days more than 5 days.
4. the internet online teaching management system according to claim 1 based on three-level early warning mechanism, it is characterised in that:
When being determined as level-one early warning, system is by the automatic warning information that sends to by the customer terminal webpage of early warning student；When being determined as second level
Early warning, system is by the automatic warning information that sends to by the client of the customer terminal webpage of the student of early warning, the form master being responsible for
The page；When being determined as three-level early warning, system automatic will send warning information to by the customer terminal webpage of the student of early warning, be responsible for
The form master customer terminal webpage and parents of student customer terminal webpage.
5. the internet online teaching management system according to claim 4 based on three-level early warning mechanism, it is characterised in that:
Warning information is sent to customer terminal webpage, when client is not landed, is sent to setting mobile phone.
6. the internet online teaching management system as claimed in any of claims 1 to 5 based on three-level early warning mechanism
System, it is characterised in that: the three-level warning module further includes the client executed sending the second level warning information Shi Xiang form master
The step of page sends the step of questionnaire, sends questionnaire to the customer terminal webpage of parent when sending three-level warning information.
7. the internet online teaching management system according to claim 6 based on three-level early warning mechanism, it is characterised in that:
The three-level warning module further includes the steps that executing early warning number statistics.
8. the internet online teaching management system according to claim 1 based on three-level early warning mechanism, it is characterised in that:
The learning tasks module further includes the steps that executing the customer terminal webpage that the learning tasks of teacher's arrangement are pushed to student.
9. the internet online teaching management system according to claim 8 based on three-level early warning mechanism, it is characterised in that:
The learning tasks module further includes the steps that executing the customer terminal webpage that learning tasks performance is pushed to student.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110807718A (en) * | 2019-10-24 | 2020-02-18 | 浙江工商大学 | Finite-state-machine-based post-session work flow management method in online teaching platform |
| CN112579861A (en) * | 2020-12-11 | 2021-03-30 | 北京字节跳动网络技术有限公司 | Counting method and device |
| CN113570208A (en) * | 2021-07-09 | 2021-10-29 | 国家电网公司华中分部 | Dispatcher course management method and device based on artificial intelligence |
| CN113611077A (en) * | 2021-07-09 | 2021-11-05 | 广东信兴科技有限公司 | Campus monitoring system and monitoring method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108492233A (en) * | 2018-05-29 | 2018-09-04 | 黑龙江省经济管理干部学院 | A kind of Higher Occupational Education three-level early warning guidance tutoring system |
| CN108596523A (en) * | 2018-05-29 | 2018-09-28 | 黑龙江省经济管理干部学院 | One kind being used for the outcome-based teaching system of teachers ' teaching |
| CN108596807A (en) * | 2018-05-29 | 2018-09-28 | 黑龙江省经济管理干部学院 | A kind of School of High Profession Technology OBE curriculum development tutoring systems |
-
2018
- 2018-12-28 CN CN201811621302.5A patent/CN109801195A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108492233A (en) * | 2018-05-29 | 2018-09-04 | 黑龙江省经济管理干部学院 | A kind of Higher Occupational Education three-level early warning guidance tutoring system |
| CN108596523A (en) * | 2018-05-29 | 2018-09-28 | 黑龙江省经济管理干部学院 | One kind being used for the outcome-based teaching system of teachers ' teaching |
| CN108596807A (en) * | 2018-05-29 | 2018-09-28 | 黑龙江省经济管理干部学院 | A kind of School of High Profession Technology OBE curriculum development tutoring systems |
Non-Patent Citations (1)
| Title |
|---|
| 王林丽: ""基于大数据的在线学习预警机制设计"", 《中国优秀硕士学位论文全文数据库 社会科学II辑》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110807718A (en) * | 2019-10-24 | 2020-02-18 | 浙江工商大学 | Finite-state-machine-based post-session work flow management method in online teaching platform |
| CN110807718B (en) * | 2019-10-24 | 2022-07-26 | 浙江工商大学 | Finite-state-machine-based post-session work flow management method in online teaching platform |
| CN112579861A (en) * | 2020-12-11 | 2021-03-30 | 北京字节跳动网络技术有限公司 | Counting method and device |
| CN113570208A (en) * | 2021-07-09 | 2021-10-29 | 国家电网公司华中分部 | Dispatcher course management method and device based on artificial intelligence |
| CN113611077A (en) * | 2021-07-09 | 2021-11-05 | 广东信兴科技有限公司 | Campus monitoring system and monitoring method |
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