CN112419807A - Study platform based on little class - Google Patents
Study platform based on little class Download PDFInfo
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- CN112419807A CN112419807A CN202011386330.0A CN202011386330A CN112419807A CN 112419807 A CN112419807 A CN 112419807A CN 202011386330 A CN202011386330 A CN 202011386330A CN 112419807 A CN112419807 A CN 112419807A
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
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Abstract
The invention discloses a micro-class-based learning platform, which relates to the technical field of Internet education. For the questions which are not understood, the students can click to check the micro lessons for review, and can check the analysis of test questions. The platform can solve the problems of pain points of teachers in correcting homework and difficulty in parents in guiding homework, and relieve the economic pressure and the life pressure of students on guiding classes and hosting institutions.
Description
Technical Field
The invention relates to the technical field of internet education, in particular to a learning platform based on micro-lessons.
Background
At present, resources of schools are seriously wasted, and outdoor training mechanisms and hosting mechanisms such as the bamboo shoots blossoming all the time after the rain. After leaving school, students fatigue various training institutions to supplement knowledge lost in the classroom or run to custody institutions to complete assignments laid out by teachers. And the teacher needs to arrange the operation or modify the operation after leaving the class, and the task of modifying the operation is heavy. After the correction is finished, the knowledge mastering conditions of the class students do not have macroscopic control, so that the teacher has no reference in the classroom explanation process.
Disclosure of Invention
The embodiment of the invention provides a micro-class-based learning platform, which can solve the problems in the prior art.
The invention provides a micro-class-based learning platform, which comprises a cloud server, a teacher end and a student client end, wherein the cloud server is connected with the teacher end;
the teacher end is used for uploading a micro-class video recorded by a teacher to the cloud server, and after the micro-class video is uploaded, the teacher end also uploads a knowledge label selected by the teacher to the cloud server, and the cloud server adds the uploaded knowledge label to the corresponding micro-class video;
the cloud server generates a recommended work topic according to the knowledge label of each micro-course video, and after the teacher end determines the recommended work topic, the cloud server pushes the recommended work topic to the student client;
the student client generates student jobs according to answers of students, submits the student jobs to the cloud server, and the cloud server performs error judgment on the student jobs and feeds back judgment results to the corresponding student client and teacher end; when the cloud server pushes the recommended homework questions to the student client, the corresponding micro-class videos are pushed to the student client, and in the student answering process, the student client responds to the operation of students to play the micro-class videos.
Preferably, the teacher end comprises a teacher BS end and a teacher client, after the cloud server completes adding the knowledge annotation to the micro-class video, the visible range of the micro-class video is set according to the selection of the teacher through the teacher BS end or the teacher client, the visible range includes visible range to students and invisible range to students, and only when the visible range of the micro-class video is visible to students, the cloud server generates the recommended homework title.
Preferably, after the teacher uploads the micro-class video, the visible range of the micro-class video is defaulted to be invisible to the student.
Preferably, the visible range of the micro-class video visible to the students comprises visible to the class, visible to the year level and visible to the school.
Preferably, the teacher client and the student client are both WeChat applets.
Preferably, the homework titles pushed to the student client by the cloud server comprise recommended homework titles and custom homework titles, and a teacher selects pictures and videos in a local file to upload the custom homework titles through the teacher end or manually inputs homework requirements.
Preferably, the student client plays the micro-class video in response to the operation of the student after receiving the judgment result.
Preferably, each recommended work topic pushed by the cloud server corresponds to a part of content in the micro-class video, the cloud server associates all recommended work topics with time points corresponding to the micro-class video, and a student only needs to view content associated with the current recommended work topic when viewing the micro-class video after answering.
Preferably, after all students finish the homework, the cloud server automatically counts the finish condition of the homework, generates corresponding condition analysis, and sends the condition analysis to the teacher end.
The micro-class-based learning platform provided by the invention has the following advantages:
1. the teacher does not need to frequently print, roll and correct the test paper;
2. students do not need to surf the internet and directly review the video of the teacher micro-class, thus having strong pertinence and reducing the economic pressure;
3. the teaching mode of the teacher can be reserved by 100%, and the tutoring pressure of parents is reduced;
4. an unstructured micro-course video is associated with knowledge points and teaching materials in a video labeling mode, so that a question library with the characteristics of the knowledge points and the teaching materials can be utilized, and the support of big data is provided;
5. the micro lessons and the homework are creatively associated, students can independently complete the homework, and the knowledge points are pertinently consolidated.
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In order to more clearly illustrate the embodiments of the present invention or the 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 some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of the operation of the platform of 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 drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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.
Referring to fig. 1, the invention provides a micro-class-based learning platform, which comprises a cloud server, a teacher end and a student client, wherein the teacher end and the student client are both in communication connection with the cloud server. In this embodiment, the teacher end includes a teacher BS end (a web page end or a browser end) and a teacher client, and the teacher client and the student client are both WeChat applets.
A teacher records a micro-class video in the course of a lesson, the micro-class video is uploaded to a cloud server through the teacher side, and the cloud server stores the micro-class video uploaded by the teacher. And for the micro-course videos stored in the cloud server, the cloud server adds corresponding knowledge labels to each micro-course video according to the knowledge labels selected by the teacher through the teacher end. The knowledge annotation can enable the micro-class video to be connected with knowledge points or teaching materials.
After the knowledge annotation is added, the cloud server sets whether the micro-class video is visible for the student according to the visible range selected by the teacher through the teacher end. If the student is invisible, only teachers who upload micro-class videos can see the micro-class videos, and the teachers can use the micro-class videos as own reserve resources to review the micro-class videos to improve own teaching capacity.
And if the students can see the information, the cloud server determines knowledge points or teaching materials corresponding to the micro-course video according to the knowledge labels, and generates recommended homework subjects according to the determined knowledge points or teaching materials. In this embodiment, the recommended job title is selected from a title library. Besides recommending the job title, a teacher can select pictures and videos in a local file to upload or manually input a job requirement through the teacher end to generate a custom job title. After the teacher confirms the homework title through the teacher end, the cloud server pushes the homework title to the student client.
In this embodiment, after the teacher uploads the micro-class video, the visible range of the micro-class video is defaulted to be invisible to the student. And the visible range visible to the student includes visible to the class, visible to the year class, and visible to the school.
After receiving the homework questions, the student client can start answering by the students. After the answer is finished, the student client submits the student homework to the cloud server, the cloud server automatically judges the student homework in a wrong way, and the judged result is fed back to the corresponding student client. After receiving the result feedback, the students can check the analysis of the homework or the micro-class video on the student client to consolidate the learning effect. The students can review the micro-class videos through the student client sides in the answering process.
In this embodiment, each recommended work topic pushed by the cloud server corresponds to a part of content in the micro-class video, and the cloud server associates all recommended work topics with time points corresponding to the micro-class video, so that a student can view only content associated with a current recommended work topic when viewing the micro-class video.
The cloud server feeds back the judgment result to the student client side, and simultaneously feeds back the homework completion condition of each student to the teacher side. The homework completion condition fed back to the teacher side includes whether the student completes the homework, the response condition of the student who has completed the homework, and the like, and the answer of each student can be commented.
After all students all accomplished the operation, cloud server automatic statistics this completion condition of operation generates corresponding condition analysis, sends this condition analysis for mr end, and mr can know student's learning after obtaining this condition analysis, and the convenience is carried out the pertinence explanation in follow-up teaching process, helps the student to promote the score.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such 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 such modifications and variations.
Claims (9)
1. A study platform based on micro-lessons is characterized by comprising a cloud server, a teacher end and a student client end;
the teacher end is used for uploading a micro-class video recorded by a teacher to the cloud server, and after the micro-class video is uploaded, the teacher end also uploads a knowledge label selected by the teacher to the cloud server, and the cloud server adds the uploaded knowledge label to the corresponding micro-class video;
the cloud server generates a recommended work topic according to the knowledge label of each micro-course video, and after the teacher end determines the recommended work topic, the cloud server pushes the recommended work topic to the student client;
the student client generates student jobs according to answers of students, submits the student jobs to the cloud server, and the cloud server performs error judgment on the student jobs and feeds back judgment results to the corresponding student client and teacher end; when the cloud server pushes the recommended homework questions to the student client, the corresponding micro-class videos are pushed to the student client, and in the student answering process, the student client responds to the operation of students to play the micro-class videos.
2. The micro-class-based learning platform of claim 1, wherein the teacher side comprises a teacher BS side and a teacher client side, and after the cloud server completes adding the knowledge annotation to the micro-class video, the cloud server further sets a visible range of the micro-class video according to the selection of the teacher through the teacher BS side or the teacher client side, wherein the visible range includes visible range and invisible range for students, and the cloud server generates the recommended homework title only when the visible range of the micro-class video is visible for students.
3. The micro-class based learning platform of claim 2, wherein after the teachers upload the micro-class videos, the visible range of the micro-class videos is default to be invisible to the students.
4. The micro-class based learning platform of claim 2, wherein the visible range of the micro-class video to the student comprises visible to the class, visible to the year and visible to the school.
5. A micro-class based learning platform as claimed in claim 2, wherein the teacher client and the student clients are each a wechat applet.
6. The micro-class-based learning platform as claimed in claim 1, wherein the homework titles pushed by the cloud server to the student client include recommended homework titles and custom homework titles, and the custom homework titles are uploaded by teachers through pictures and videos in local files selected by the teachers or manually input homework requirements.
7. The micro-class-based learning platform as claimed in claim 1, wherein the student client further plays a micro-class video in response to the operation of the student after receiving the determination result.
8. The micro-class-based learning platform as claimed in claim 7, wherein each recommended task topic pushed by the cloud server corresponds to a part of content in the micro-class video, and the cloud server associates all recommended task topics with time points corresponding to the micro-class video, and after a student answers the micro-class video, the student only needs to view the content associated with the currently recommended task topic.
9. The micro-class-based learning platform as claimed in claim 1, wherein when all students complete their homework, the cloud server automatically counts the completion of the homework, generates a corresponding condition analysis, and sends the condition analysis to the teacher.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011386330.0A CN112419807A (en) | 2020-12-01 | 2020-12-01 | Study platform based on little class |
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| CN202011386330.0A CN112419807A (en) | 2020-12-01 | 2020-12-01 | Study platform based on little class |
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| CN112419807A true CN112419807A (en) | 2021-02-26 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113238685A (en) * | 2021-04-19 | 2021-08-10 | 浙江学海教育科技有限公司 | Real-time interactive teaching method and system and AI autonomous classroom platform |
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| CN104318817A (en) * | 2014-11-03 | 2015-01-28 | 湖南亿谷信息科技发展有限公司 | Interactive learning platform and method |
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Patent Citations (9)
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|---|---|---|---|---|
| KR100835234B1 (en) * | 2007-01-03 | 2008-06-10 | 토자이홀딩스 주식회사 | On-line learning providing method and on-line learning providing system |
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| CN113238685A (en) * | 2021-04-19 | 2021-08-10 | 浙江学海教育科技有限公司 | Real-time interactive teaching method and system and AI autonomous classroom platform |
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