A learning platform based on micro-courses

Through a micro-class-based learning platform, teachers record and label micro-class videos, generate homework questions, and students complete homework independently, solving the problems of resource waste and homework correction, realizing automated homework management and learning situation monitoring, improving teaching efficiency and students Self-study ability.

CN112419807BActive Publication Date: 2024-12-13BEIJING CHANMING INFORMATION TECH CO LTD
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Patent Information

Application Number
CN202011386330.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2020-12-01
Publication Date
2024-12-13
Estimated Expiration
2040-12-01

AI Technical Summary

Technical Problem

In the existing technology, school resources are severely wasted, resulting in the proliferation of off-campus training institutions and custodian institutions. Teachers need to spend a lot of time recording and correcting homework, and lack macro-control of students' knowledge mastery.

Method used

Design a learning platform based on micro-courses, including cloud server, teacher terminal and student client. The teacher records micro-course videos and uploads them to the cloud server, adds knowledge annotations, generates recommended homework questions, and students complete homework and submit them to the cloud server for Automatically judge and feedback the results to students and teachers. The platform pushes micro-class videos and homework questions. The teacher can set a visible range and students can complete targeted homework independently.

Benefits of technology

Reduce the burden of correcting homework for teachers, students do not need to take extra classes, teachers' teaching methods are retained, parents' tutoring pressure is reduced, micro-class videos are related to knowledge points, and using big data support, students can independently consolidate knowledge points, and the platform automatically Statistical learning situation.

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Abstract

The invention discloses a learning platform based on micro-classes, and relates to the field of Internet education technology. The teacher records the class in class, marks the knowledge points, and assigns homework for the micro-classes. Students can review the classroom content, practice and submit homework corresponding to the micro-classes, and the platform intelligently judges whether the homework is right or wrong. For questions that students do not understand, they can click to view the micro-classes for review, and can view the analysis of the test questions. The platform of the invention can solve the pain points of teachers correcting homework, the problem of parents' difficulty in tutoring homework, and reduce the economic pressure and life pressure of students attending tutoring classes and custodial institutions.
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Description

Technical Field

[0001] The present invention relates to the field of Internet education technology, and in particular to a learning platform based on micro-courses. Background Art

[0002] At present, there is a serious waste of school resources, which has led to the proliferation of off-campus training institutions and custody institutions. After school, students are tired of going to various training institutions to supplement the knowledge missed in class, or running around to custody institutions to complete the homework assigned by the teacher. After class, teachers need to assign or correct homework, and the task of correcting homework is also very heavy. Moreover, after the correction is completed, there is no macro-control of the students' mastery of knowledge in the class, which makes the teacher have no reference basis during the classroom explanation. Summary of the invention

[0003] The embodiment of the present invention provides a micro-course-based learning platform, which can solve the problems in the prior art.

[0004] The present invention provides a micro-class based learning platform, including a cloud server, a teacher terminal and a student client terminal;

[0005] The teacher end is used to upload the micro-class video recorded by the teacher to the cloud server. After uploading the micro-class video, the teacher end also uploads the knowledge annotations selected by the teacher for the micro-class video to the cloud server, and the cloud server adds the uploaded knowledge annotations to the corresponding micro-class video;

[0006] The cloud server generates a recommended homework title based on the knowledge annotation of each micro-class video. After the teacher determines the recommended homework title, the cloud server pushes the recommended homework title to the student client;

[0007] The student client generates student homework according to the student's answers and submits the student homework to the cloud server. The cloud server judges whether the student homework is right or wrong, and feeds back the judgment result to the corresponding student client and teacher terminal. When the cloud server pushes recommended homework questions to the student client, it also pushes the corresponding micro-class video to the student client. During the student's answering process, the student client responds to the student's operation to play the micro-class video.

[0008] Preferably, the teacher end includes a teacher BS end and a teacher client. After the cloud server completes the addition of knowledge annotations to the micro-class video, it also sets the visible range of the micro-class video according to the teacher's selection through the teacher BS end or the teacher client. The visible range includes visible to students and invisible to students. Only when the visible range of the micro-class video is visible to students, the cloud server generates recommended homework questions.

[0009] Preferably, after a teacher uploads a micro-class video, the visible range of the micro-class video is set to be invisible to students by default.

[0010] Preferably, the micro-class video is visible to students in the following scopes: visible to the class, visible to the grade, and visible to the school.

[0011] Preferably, the teacher client and the student client are both WeChat applets.

[0012] Preferably, the homework titles pushed by the cloud server to the student client include recommended homework titles and custom homework titles. The custom homework titles are selected by the teacher through the teacher's terminal by selecting pictures and videos in local files to upload, or manually inputting homework requirements.

[0013] Preferably, after receiving the judgment result, the student client also plays the micro-class video in response to the student's operation.

[0014] Preferably, each recommended homework title pushed by the cloud server corresponds to a part of the content in the micro-class video, and the cloud server associates all the recommended homework titles with the time points corresponding to the micro-class videos. After completing the answers, students only need to view the content associated with the current recommended homework title when viewing the micro-class video.

[0015] Preferably, when all students have completed their homework, the cloud server automatically counts the completion status of the homework, generates a corresponding situation analysis, and sends the situation analysis to the teacher.

[0016] The micro-course-based learning platform provided by the present invention has the following advantages:

[0017] 1. Teachers do not need to print, collect and grade test papers frequently;

[0018] 2. Students do not need to take online classes, but can directly watch the teacher's micro-class videos, which is highly targeted and reduces financial pressure;

[0019] 3. The teacher's teaching method can be 100% retained, reducing the tutoring pressure on parents;

[0020] 4. An unstructured micro-class video can be associated with knowledge points and teaching materials through video annotation, and then a question library with knowledge points and teaching materials characteristics can be used, with the support of big data;

[0021] 5. Innovatively link micro-courses and homework so that students can complete homework independently and consolidate knowledge points in a targeted manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0023] Figure 1 It is the workflow diagram of the platform in the present invention. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] Reference Figure 1 The present invention provides a micro-class based learning platform, which includes a cloud server, a teacher terminal and a student client, and the teacher terminal and the student client are both connected to the cloud server. In this embodiment, the teacher terminal includes a teacher BS terminal (webpage terminal or browser terminal) and a teacher client, and the teacher client and the student client are both WeChat applets.

[0026] The teacher records the micro-class video during the class and uploads it to the cloud server through the teacher terminal. The cloud server saves the micro-class video uploaded by the teacher. For the micro-class videos saved in the cloud server, the cloud server adds corresponding knowledge annotations to each micro-class video according to the knowledge annotations selected by the teacher through the teacher terminal. The knowledge annotations can establish a connection between the micro-class video and the knowledge points or teaching materials.

[0027] After adding knowledge annotations, the cloud server sets whether the micro-class video is visible to students according to the visible range selected by the teacher through the teacher terminal. If it is not visible to students, it is only visible to the teacher who uploaded the micro-class video. At this time, the teacher can use these micro-class videos as their own reserve resources and review them to improve their teaching ability.

[0028] If it is visible to the students, the cloud server determines the knowledge points or teaching materials corresponding to the micro-class video according to the knowledge annotation, and generates recommended homework titles according to the determined knowledge points or teaching materials. The recommended homework titles in this embodiment are selected from the title library. In addition to the recommended homework titles, the teacher can also select pictures and videos in local files to upload through the teacher terminal, or manually enter the homework requirements to generate custom homework titles. After the teacher confirms the homework title through the teacher terminal, the cloud server pushes the homework title to the student client.

[0029] In this embodiment, after the teacher uploads the micro-class video, the visible range of the micro-class video is set to be invisible to students by default, while the visible range visible to students includes visible to the class, visible to the grade, and visible to the school.

[0030] After the student client receives the homework title, the student can start answering. After the answer is completed, the student client submits the student homework to the cloud server, and the cloud server automatically judges the right or wrong of the student homework and feeds back the judgment result to the corresponding student client. After the student receives the result feedback, he can view the analysis of the homework or the micro-class video on the student client to consolidate the learning effect. Students can also watch the micro-class video through the student client during the answering process.

[0031] In this embodiment, each recommended homework title pushed by the cloud server corresponds to a part of the content in the micro-class video, and the cloud server associates all the recommended homework titles with the time points corresponding to the micro-class videos. When viewing the micro-class video, students can only view the content associated with the current recommended homework title.

[0032] The cloud server not only feeds back the judgment result to the student client, but also feeds back the completion status of each student's homework to the teacher client. The completion status of the homework fed back to the teacher client includes whether the student has completed the homework, the answer status of the students who have completed the homework, etc., and can comment on the answers made by each student.

[0033] When all students have completed their homework, the cloud server automatically counts the completion status of the homework and generates a corresponding situation analysis, which is sent to the teacher. After receiving the situation analysis, the teacher can understand the students' learning situation, which is convenient for targeted explanations in subsequent teaching processes to help students improve their grades.

[0034] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0035] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A micro-course-based learning platform, characterized in that: Including cloud server, teacher client and student client; The teacher end is used to upload the micro-class video recorded by the teacher to the cloud server. After uploading the micro-class video, the teacher end also uploads the knowledge annotations selected by the teacher for the micro-class video to the cloud server, and the cloud server adds the uploaded knowledge annotations to the corresponding micro-class video; The cloud server generates a recommended homework title based on the knowledge annotation of each micro-class video. After the teacher determines the recommended homework title, the cloud server pushes the recommended homework title to the student client; The student client generates student homework according to the student's answer, and submits the student homework to the cloud server. The cloud server judges the right or wrong of the student homework, and feeds back the judgment result to the corresponding student client and teacher end; when the cloud server pushes the recommended homework title to the student client, it also pushes the corresponding micro-class video to the student client. During the student's answering process, the student client responds to the student's operation to play the micro-class video; when all students complete the homework, the cloud server automatically counts the completion status of this homework, generates the corresponding situation analysis, and sends the situation analysis to the teacher end; The teacher end includes a teacher BS end and a teacher client. When the cloud server completes adding knowledge annotations to the micro-class video, it also sets the visible range of the micro-class video according to the teacher's selection through the teacher BS end or the teacher client. The visible range includes visible to students and invisible to students. Only when the visible range of the micro-class video is visible to students, the cloud server generates recommended homework questions; Each recommended homework title pushed by the cloud server corresponds to a part of the content in the micro-class video, and the cloud server associates all the recommended homework titles with the time points corresponding to the micro-class videos. After completing the answers, students only need to view the content associated with the current recommended homework title when viewing the micro-class video.

2. A micro-course-based learning platform as claimed in claim 1, characterized in that: After a teacher uploads a micro-class video, the visible scope of the micro-class video is set to be invisible to students by default.

3. A micro-course-based learning platform as claimed in claim 2, characterized in that: The micro-class video may be visible to students in the same class, the same grade, and the same school.

4. A micro-course-based learning platform as claimed in claim 3, characterized in that: The teacher client and the student client are both WeChat applets.

5. A micro-course-based learning platform as claimed in claim 4, characterized in that: The homework titles pushed by the cloud server to the student client include recommended homework titles and custom homework titles. The custom homework titles are selected by the teacher through the teacher's terminal, such as pictures and videos in local files to upload, or the homework requirements are manually entered.

6. A micro-course-based learning platform as claimed in claim 5, characterized in that: After receiving the judgment result, the student client also plays the micro-class video in response to the student's operation.