CN113139885A - Teaching management system and management method thereof - Google Patents
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Abstract
The invention discloses a teaching management system and a management method thereof, relates to the technical field of teaching, and provides the following technical scheme for solving the problem that the existing teaching management system cannot provide targeted review tutoring for students, wherein the teaching management system comprises a storage module for storing teaching resources; the teaching module is used for uploading teaching materials, and the teaching materials are teaching resources called by the storage module and/or teaching schemes uploaded by the teaching module; the learning module is used for receiving the teaching materials, completing a learning task and collecting learning data in the learning process; the analysis module is used for analyzing and processing the learning data based on a preset analysis rule to generate a student situation analysis report; the matching module is used for calling the teaching resources in the storage module and sending the teaching resources to the learning module based on the analysis report; and the judging module is used for obtaining a judging result based on a preset judging rule and the analysis report and sending the judging result to the teaching module.
Description
Technical Field
The invention relates to the technical field of teaching, in particular to a teaching management system and a management method thereof.
Background
With the development of the internet, the network teaching becomes the development trend of modern education, the time and space limitations of the traditional education are broken through, students can check teaching videos through a login system at any time to complete learning, the change is only the change of teaching conditions, the teaching contents are not substantially changed, the basic knowledge difference of each student is large, the learning capability is uneven, a teacher is difficult to know the learning condition of each student and provides targeted review tutoring, and finally, the number of weak points is increased, so that the pace of teaching of the teacher cannot be kept up.
However, most of the teaching management systems in the prior art only analyze the learning scores of the students to obtain the learning reports of the students, and if the teacher wants to know the learning conditions of the students, the teacher can only check the learning reports of all the students and determine whether the teaching strategy needs to be adjusted according to the experience. In addition, since a teacher often corresponds to a large number of students and the time and energy of the teacher are limited, the working efficiency of the teacher is reduced by checking a large number of reports for a long time, and it is still difficult to review the weak points of each student in a targeted manner.
Disclosure of Invention
The invention mainly aims to provide a teaching management system and a management method thereof, and aims to solve the problem that personalized review is difficult to provide for weak points of students in the teaching process.
In order to achieve the above object, the present invention provides a teaching management system, including:
the storage module is used for storing teaching resources;
the teaching module is used for uploading teaching materials, and the teaching materials are teaching resources called by the storage module and/or teaching schemes uploaded by the teaching module;
the learning module is used for receiving the teaching materials, completing a learning task and collecting learning data in the learning process;
the analysis module is used for analyzing and processing the learning data based on a preset analysis rule to generate a student situation analysis report;
the matching module is used for calling the teaching resources in the storage module and sending the teaching resources to the learning module based on the analysis report;
and the judging module is used for obtaining a judging result based on a preset judging rule and the analysis report and sending the judging result to the teaching module.
In an embodiment of the application, the learning module includes: the receiving module is used for receiving the teaching materials sent by the teaching module and providing the learner with the learning course; the detection module is used for detecting the learning effect after the course learning is finished and calculating the detection score; and the acquisition module is used for acquiring learning data in the learning process in real time.
In an embodiment of the present application, the acquisition module includes: the screen monitoring module is used for monitoring the dynamic state of a screen in the learning process; and the external image acquisition module is used for capturing behavior information of the students in the learning process in real time and verifying user information of the students.
In an embodiment of the application, the analysis module analyzes and processes the learning data in real time to obtain a current concentration score, and if the current concentration score is lower than a first threshold K1, the analysis module feeds back a reminding message to the learning module.
In an embodiment of the application, the content of the academic aptitude analysis report generated by the analysis module includes concentration degree scores, detection achievements and knowledge points which are not mastered.
In an embodiment of the application, the matching module compares the unconmastered knowledge points with the teaching resources in the storage module, and pushes the matched teaching resources to the learning module.
In an embodiment of the application, the determining module compares the detection result with a second threshold K2, and if the detection result is lower than a second threshold K2, pushes a corresponding academic emotion analysis report to a teaching module; and the teaching module sends targeted review data to the corresponding learning module according to the studying condition analysis report.
In an embodiment of the application, the determining module compares the concentration degree score with a first threshold K1, calculates a ratio of the number of the emotion analysis reports with the concentration degree score lower than the first threshold to the number of the total emotion analysis reports corresponding to the teaching module, and if the ratio is higher than a third threshold K3, the determining module feeds back reminding information to the teaching module.
A method for teaching management by adopting the teaching management system comprises the following steps:
the teaching module uploads teaching materials, and the teaching materials are teaching resources called by the storage module and/or teaching schemes uploaded by the teaching module;
the learning module receives the teaching materials, completes learning tasks and collects learning data in the learning process;
the analysis module analyzes and processes the learning data based on a preset analysis rule to generate a student situation analysis report;
the matching module calls the teaching resources in the storage module and sends the teaching resources to the learning module based on the analysis report;
the judgment module obtains a judgment result based on a preset judgment rule and the analysis report, and sends the judgment result and the corresponding analysis report to the teaching module;
and the teaching module adjusts a teaching plan based on the judgment result.
In one embodiment of the present application, the learning data includes performance and/or learning duration, number of learning pauses, number of learning window zooms, number of head rotations, number of hand movements, and number of off-positions.
The invention has the following beneficial effects: the storage module in the system stores a large amount of teaching resources, a teacher can also continuously supplement the teaching resources in the storage module, the teacher can refer to and call teaching materials in the storage module, and the teaching plan is made by combining teaching experiences of the teacher, so that the teaching plan is more suitable for students, and meanwhile, the teaching level of the teacher can be improved. When the learning effect of the students is analyzed, the learning achievement of the students is not only used as a reference index, but also other learning performances of the students are combined, for example, the concentration degree of the learning of the students is judged by small actions in the learning process, the retention time of a certain question in the answering process is combined with the detection achievement to detect the mastery degree of the knowledge point of the students, and the like, the learning effect information of the students is effectively obtained through multi-aspect analysis and evaluation, if the number of the students with low concentration degree and/or the proportion of the number of the students with low detection achievement are large, or a certain knowledge point is a knowledge point which is not mastered by most of the students, the problem possibly occurs in the teaching mode of the teacher, the teacher is reminded to adjust the teaching strategy, and the teaching quality of the teacher can be effectively guaranteed through the method. Through the matching module, the learning resources are automatically pushed to the students in an individualized way, the workload of a teacher can be reduced, meanwhile, targeted review reinforcement is provided for the students, the students are guided to fully know themselves, the problem is overcome, and further the progress of learning is obtained. The information of the beat-to-beat is pushed to the teaching module after the judgment of the judging module, so that a teacher can accurately obtain the learning information of the beat-to-beat without looking up the learning analysis reports of all students and conduct targeted tutoring, and the teaching efficiency of the teacher is improved.
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In order to more clearly illustrate embodiments of the present invention or technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only exemplary embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without inventive effort, wherein:
FIG. 1 is a schematic structural diagram of a teaching management system according to the present invention;
fig. 2 is a flowchart of a teaching management method in the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are only exemplary embodiments of the present invention, and not exclusive embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a teaching management system provided by the present invention includes:
the storage module is used for storing teaching resources;
the teaching module is used for uploading teaching materials, and the teaching materials are teaching resources called by the storage module and/or teaching schemes uploaded by the teaching module;
the learning module is used for receiving the teaching materials, completing a learning task and collecting learning data in the learning process;
the analysis module is used for analyzing and processing the learning data based on a preset analysis rule to generate a student situation analysis report;
the matching module is used for calling the teaching resources in the storage module and sending the teaching resources to the learning module based on the analysis report;
and the judging module is used for obtaining a judging result based on a preset judging rule and the analysis report and sending the judging result to the teaching module.
By adopting the technical scheme, the teacher can send teaching data to the learning module through the teaching module according to the teaching plan of the teacher, and classify the learning data, for example, the learning data is classified according to knowledge points, and the teaching data comprises teaching videos, teaching documents and detection test questions. The teaching resources stored by the storage module comprise teaching videos, teaching documents, electronic books of various departments, detection test questions and corresponding answers of other teachers in the past, teachers who have registered the teaching management system can read the teaching resources in the storage module through the teaching module to make reference or directly call the teaching resources, and can upload own teaching materials to the storage module, so that the purpose of sharing is achieved. The students receive the teaching materials uploaded by the teachers through the learning module, complete learning tasks according to requirements, and meanwhile, the learning module collects learning data generated in the learning process. The student logs in the learning module and then triggers the analysis module, the analysis module analyzes and processes the learning data collected by the learning module in real time, generates a corresponding studying situation analysis report after learning of one category is finished, and updates the studying situation analysis report after learning of the next category is finished. After receiving the learning situation analysis report, the matching module extracts the content of the knowledge points which are not mastered by the students in the learning situation analysis report, compares the content with the teaching resources in the storage module, calls the teaching resources matched with the weak knowledge points of the students and sends the teaching resources to the learning module so that the students can review the teaching resources in time. The student emotion analysis report is also sent to a judgment module, and the student emotion analysis report of the student who needs independent tutoring of the teacher is called to a teaching module through judgment of the judgment module to remind the teacher to pay special attention to the student emotion; and after receiving the student emotion analysis report of the student, the teaching module can give guidance in time aiming at the knowledge points needing important guidance and combining with the teaching experience of the teacher.
In an embodiment of the application, the learning module includes: the receiving module is used for receiving the teaching materials sent by the teaching module and providing the learner with the learning course; the detection module is used for detecting the learning effect after the course learning is finished and calculating the detection score; and the acquisition module is used for acquiring learning data in the learning process in real time.
By adopting the technical scheme, the receiving module reminds students to learn according to requirements after receiving the teaching materials sent by the teacher module, wherein the requirements comprise the learning sequence and the corresponding contents completed within the specified time. Because the test questions detected in the detection module correspond to the teaching materials received in the receiving module one by one, after learning content is completed, the corresponding test questions are completed in the detection module, the detection module contains a correction module, objective questions can be directly corrected through the correction module, subjective questions are uploaded to the teaching module after the students complete answering, a teacher waits for correction, the objective questions are transmitted to the correction module again after correction, and the correction module calculates final detection scores. The acquisition module is used for acquiring learning data in the learning process in real time and is used for assisting in judging the learning effect of students.
In an embodiment of the present application, the acquisition module includes: the screen monitoring module is used for monitoring the dynamic state of a screen in the learning process; and the external image acquisition module is used for capturing behavior information of the students in the learning process in real time and verifying user information of the students.
By adopting the technical scheme, the concentration degree of the students has obvious influence on the learning effect of the students, so that the estimation of the concentration degree of the students is very important. In the careless process, students often have head turning actions such as frequently lowering heads, looking at right expectations, and the like, and also have hand actions such as frequently playing hands, playing pens, scratching itch, and the like, or zoom learning windows, or even leave the positions of the students to do other things. Therefore, the student dynamics can be collected through the screen monitoring module and the external image collecting module, and the learning data collected by the screen monitoring module comprises the learning duration of each category of learning content, the retention time of a certain knowledge point during learning, the pause times in the learning process and the zooming times of the learning window. The external image acquisition module comprises a camera which is wirelessly connected with the learning module, such as a camera arranged on the learning terminal; the learning data collected by the external image collection module includes the number of times of head rotation, the number of times of hand movement, and the number of times of position departure. Through the technical scheme, various learning data are collected, and the learning dynamics of students can be obtained from multiple aspects, such as the concentration degree of the students and the interest degree of a certain knowledge point. The collection module can also compare through the user image who provides when registering this image and student through the image of gathering student's study according to predetermined time interval, if mismatch after the comparison, then report teacher or the head of a family with this information, and this scheme can prevent effectively that other people from taking the place of the student and accomplishing the study task.
In an embodiment of the application, the analysis module analyzes and processes the learning data in real time to obtain a current concentration score, and if the current concentration score is lower than a first threshold K1, the analysis module feeds back a reminding message to the learning module.
By adopting the technical scheme, the analysis module analyzes and processes the learning data in real time and calculates the concentration degree score of the student in the learning process in the preset time period. The learning data may be analyzed and processed in a manner of calculating the number of times that the student has the learning abnormal data in the time period, where the number of times of learning abnormal data includes the number of times of suspension, the number of times of zooming a learning window, the number of times of rotating a head, the number of times of hand movements, and the number of times of leaving positions in the learning process, the number of times of learning abnormal data is converted into a current concentration degree score, and the current concentration degree score is compared with a first threshold value K1, and if the current concentration degree score is lower than the first threshold value K1, it indicates that the current student has a low learning concentration degree, and the analysis module feeds back reminding information to the learning module, for example, the student is reminded to concentrate on learning by means of window shaking and information pushing; if the current concentration degree score is higher than or equal to the first threshold value K1, it indicates that the current student is learning to be more concentrated, and no reminding information needs to be fed back.
In an embodiment of the application, the content of the academic aptitude analysis report generated by the analysis module includes concentration degree scores, detection achievements and knowledge points which are not mastered.
By adopting the technical scheme, the analysis module generates the studying condition analysis report after analyzing and processing the studying data, wherein the studying condition analysis report comprises concentration degree scores, detection scores and knowledge points which are not mastered, so that teachers and/or other administrators can check the studying condition, and the studying condition of students can be accurately obtained.
In an embodiment of the application, the matching module compares the unconmastered knowledge points with the teaching resources in the storage module, and pushes the matched teaching resources to the learning module.
By adopting the technical scheme, the matching module extracts the unconfined knowledge points in the studying condition analysis report, compares the unconfined knowledge points with the teaching resources in the storage module, extracts the teaching resources matched with the unconfined knowledge points in the storage module, and pushes the teaching resources to the learning module so as to strengthen the review of students. The review process of the students is similar to the process of learning new knowledge, namely, the learning module receives the teaching materials, completes the learning task and collects the learning data in the learning process; the analysis module analyzes and processes the learning data to generate a learning situation analysis report; and the matching module calls the teaching resources in the storage module and sends the teaching resources to the learning module, and the process is repeated in a circulating way until the students master all knowledge points.
In an embodiment of the application, the determining module compares the detection result with a second threshold K2, and if the detection result is lower than a second threshold K2, pushes a corresponding academic emotion analysis report to a teaching module; and the teaching module sends targeted review data to the corresponding learning module according to the studying condition analysis report.
By adopting the technical scheme, the judgment module extracts the detection score in the student emotion analysis report and compares the detection score with the second threshold value K2, the second threshold value K2 is preset in the judgment module by a teacher or other administrators, if the detection score is lower than the second threshold value K2, the judgment module indicates that the learning score of the student is low, the student emotion analysis report of the corresponding student is pushed to the teaching module, and the teaching module sends targeted review data to the corresponding learning module according to the emotion analysis report so as to achieve the purpose of helping the student key review. The student emotion analysis report pushed to the teaching module is not sent to the matching module, namely, students with detection scores lower than the second threshold value K2 only need to learn the targeted review data sent by the teacher module, learning resources automatically pushed by the matching module are not needed, and the learning efficiency of the students can be effectively improved. If the detection result is higher than or equal to the second threshold value K2, it indicates that the learning result of the student is still good, and the learning matching module only needs to automatically push the learning resources to review.
In an embodiment of the application, the determining module compares the concentration degree score with a first threshold K1, calculates a ratio of the number of the emotion analysis reports with the concentration degree score lower than the first threshold K1 to the number of the total emotion analysis reports corresponding to the teaching module, and if the ratio is higher than a third threshold K3, the determining module feeds back reminding information to the teaching module.
By adopting the technical scheme, the judging module extracts concentration degree scores in the studying condition analysis reports and compares the concentration degree scores with the first threshold value K1, because a teacher often corresponds to a plurality of students, namely, a teaching module often corresponds to a plurality of learning modules, a studying condition analysis report with the concentration degree score lower than the first threshold value K1 corresponding to a certain teaching module is screened out, the proportion of the screened studying condition analysis report to the total studying condition analysis report corresponding to the teaching module is calculated, the third threshold value K3 is preset in the judging module by the teacher or other managers, if the proportion is higher than the third threshold value K3, the students of the learning module corresponding to the teaching module are not interested in the teaching mode or content of the teacher, so the judging module feeds back reminding information to the teaching module to remind the teacher to adjust the teaching strategy, fully mobilize the learning enthusiasm of students. If the ratio is higher than or equal to the third threshold value K3, it indicates that the students of the learning module corresponding to the teaching module are interested in the teaching mode or content of the teacher, so the teacher does not need to adjust the teaching strategy.
As shown in fig. 2, a method for performing teaching management by using the teaching management system includes the following steps:
s1, uploading teaching materials by the teaching module, wherein the teaching materials are teaching resources for calling the storage module and/or teaching schemes uploaded by the teaching module;
s2, the learning module receives the teaching materials, completes the learning task and collects the learning data in the learning process;
s3, the analysis module analyzes and processes the learning data based on a preset analysis rule to generate a emotion analysis report;
s4, the matching module calls the teaching resources in the storage module and sends the teaching resources to the learning module based on the analysis report;
s5, the judging module obtains a judging result based on a preset judging rule and the analysis report, and sends the judging result and the corresponding analysis report to the teaching module;
s6 the teaching module adjusts the teaching plan based on the judgment result.
By adopting the technical scheme, the teacher reads the teaching resources in the storage module through the teaching module to serve as a reference or directly call the teaching resources to serve as own teaching materials, the teaching materials are uploaded to the students and received by the teacher through the learning module, the learning task is completed as required, and meanwhile, the learning module collects learning data generated in the learning process. The student logs in the learning module and then triggers the analysis module, the analysis module analyzes and processes the learning data collected by the learning module in real time, generates a corresponding studying situation analysis report after learning of one category is finished, and updates the studying situation analysis report after learning of the next category is finished. After receiving the learning situation analysis report, the matching module extracts the content of the knowledge points which are not mastered by the students in the learning situation analysis report, compares the content with the teaching resources in the storage module, calls the teaching resources matched with the weak knowledge points of the students and sends the teaching resources to the learning module so that the students can review the teaching resources in time. The student emotion analysis report is also sent to a judgment module, and the student emotion analysis report of the student who needs independent tutoring of the teacher is called to a teaching module through judgment of the judgment module to remind the teacher to pay special attention to the student emotion; and after receiving the student emotion analysis report of the student, the teaching module can give guidance in time aiming at the knowledge points needing important guidance and combining with the teaching experience of the teacher.
In one embodiment of the present application, the learning data includes performance and/or learning duration, number of learning pauses, number of learning window zooms, number of head rotations, number of hand movements, and number of off-positions.
By adopting the technical scheme, the detection scores are the most intuitive factors for judging the learning effect of the students, and include but are not limited to the detection scores of a certain knowledge point, the detection scores of a certain test question and the total test scores calculated according to the weight. In addition to the detection result reflecting the learning effect of the student, the behavior action of the student can reflect the learning effect of the student to a certain extent, the behavior action includes but is not limited to the learning duration, the learning pause number, the learning window zoom number, the head turning number, the hand action number and the leaving position, the concentration degree of the student can be judged by monitoring the behavior action of the student, when the concentration degree of the student is low, the learning effect is not optimal necessarily because the student is not interested in the teaching mode or content of the teacher, and therefore the teaching quality of the teacher can be evaluated by monitoring the behavior action of the student, and the teacher can make appropriate teaching adjustment.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that several modifications and adaptations to those skilled in the art without departing from the scope of the present invention should be considered as within the scope of the present invention.
Claims (10)
1. A teaching management system, comprising:
the storage module is used for storing teaching resources;
the teaching module is used for uploading teaching materials, and the teaching materials are teaching resources called by the storage module and/or teaching schemes uploaded by the teaching module;
the learning module is used for receiving the teaching materials, completing a learning task and collecting learning data in the learning process;
the analysis module is used for analyzing and processing the learning data based on a preset analysis rule to generate a student situation analysis report;
the matching module is used for calling the teaching resources in the storage module and sending the teaching resources to the learning module based on the analysis report;
and the judging module is used for obtaining a judging result based on a preset judging rule and the analysis report and sending the judging result to the teaching module.
2. Instructional management system according to claim 1, characterized in that said learning module comprises:
the receiving module is used for receiving the teaching materials sent by the teaching module and providing the learner with the learning course;
the detection module is used for detecting the learning effect after the course learning is finished and calculating the detection score;
and the acquisition module is used for acquiring learning data in the learning process in real time.
3. Instructional management system according to claim 2, characterized in that said acquisition module comprises:
the screen monitoring module is used for monitoring the dynamic state of a screen in the learning process;
and the external image acquisition module is used for capturing behavior information of the students in the learning process in real time and verifying user information of the students.
4. The instructional management system of claim 1, wherein the analysis module analyzes the learning data in real time to obtain a current concentration score, and if the current concentration score is lower than a first threshold K1, the analysis module feeds back a reminder to the learning module.
5. The instructional management system of claim 4 wherein the content of the academic aptitude analysis report generated by the analysis module comprises concentration degree scores, test achievements and unmastered knowledge points.
6. The instructional management system of claim 5 wherein the matching module compares the points of uncontrolled knowledge with instructional resources in the storage module and pushes matched instructional resources to the learning module.
7. The instructional management system of claim 5, wherein the judgment module compares the detection result with a second threshold K2, and if the detection result is lower than a second threshold K2, the judgment module pushes a corresponding academic emotion analysis report to an instructional module; and the teaching module sends targeted review data to the corresponding learning module according to the studying condition analysis report.
8. The instructional management system of claim 7, wherein the judgment module compares the concentration degree score with a first threshold K1, calculates a ratio of the number of emotion analysis reports with concentration degree scores lower than the first threshold to the number of total emotion analysis reports corresponding to the teaching module, and feeds back a reminder to the teaching module if the ratio is higher than a third threshold K3.
9. A method for managing education using the education management system of any one of the preceding claims, characterized in that it comprises the following steps:
the teaching module uploads teaching materials, and the teaching materials are teaching resources called by the storage module and/or teaching schemes uploaded by the teaching module;
the learning module receives the teaching materials, completes learning tasks and collects learning data in the learning process;
the analysis module analyzes and processes the learning data based on a preset analysis rule to generate a student situation analysis report;
the matching module calls the teaching resources in the storage module and sends the teaching resources to the learning module based on the analysis report;
the judgment module obtains a judgment result based on a preset judgment rule and the analysis report, and sends the judgment result and the corresponding analysis report to the teaching module;
and the teaching module adjusts a teaching plan based on the judgment result.
10. The instructional management system of claim 9 wherein the learning data comprises detection achievements and/or learning duration, learning pause times, learning window zoom times, head rotation times, hand motion times, and exit position times.
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| CN202010047496.3A CN113139885A (en) | 2020-01-16 | 2020-01-16 | Teaching management system and management method thereof |
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| CN202010047496.3A Pending CN113139885A (en) | 2020-01-16 | 2020-01-16 | Teaching management system and management method thereof |
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| CN114582182A (en) * | 2022-02-28 | 2022-06-03 | 深圳懂你教育科技有限公司 | Accurate teaching and learning system for large data of quasi-teaching wisdom |
| CN114863739A (en) * | 2022-04-20 | 2022-08-05 | 巴音郭楞职业技术学院 | Computer teaching system based on cloud computing and big data |
| CN115879701A (en) * | 2022-11-24 | 2023-03-31 | 读书郎教育科技有限公司 | Classroom duration self-adaptive adjustment system based on smart classroom |
| CN116012203A (en) * | 2022-12-22 | 2023-04-25 | 读书郎教育科技有限公司 | Teaching resource matching system |
| CN117556965A (en) * | 2023-12-11 | 2024-02-13 | 深圳市二一教育科技有限责任公司 | Teaching course optimization method, system and storage medium based on intelligent operation platform |
| CN117875568A (en) * | 2024-03-11 | 2024-04-12 | 南通市如水数据科技有限公司 | Information technology teaching system based on big data |
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