CN112687139A - Online education platform based on big data analysis - Google Patents

Online education platform based on big data analysis Download PDF

Info

Publication number
CN112687139A
CN112687139A CN202011584084.XA CN202011584084A CN112687139A CN 112687139 A CN112687139 A CN 112687139A CN 202011584084 A CN202011584084 A CN 202011584084A CN 112687139 A CN112687139 A CN 112687139A
Authority
CN
China
Prior art keywords
module
unit
question
teaching
uploading
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202011584084.XA
Other languages
Chinese (zh)
Inventor
葛新
龙斌
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Zhidao Knowledge Digital Technology Co ltd
Original Assignee
Shanghai Zhidao Knowledge Digital Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai Zhidao Knowledge Digital Technology Co ltd filed Critical Shanghai Zhidao Knowledge Digital Technology Co ltd
Priority to CN202011584084.XA priority Critical patent/CN112687139A/en
Publication of CN112687139A publication Critical patent/CN112687139A/en
Pending legal-status Critical Current

Links

Images

Abstract

The invention belongs to the field of big data analysis, in particular to an online education platform based on big data analysis, aiming at the problems that the learning condition of students is difficult to master by the existing online education platform, so that the teaching quality can not be improved and the teaching quality evaluation can not be carried out according to the teaching result, the invention provides a scheme which comprises a teaching video recording module, a teaching video playing module, a student question uploading module, a question screen capturing module, a screen capturing storage module, a screen capturing extraction module, a teacher answering module, an answering result storage module, an answering result uploading module, a downloading module, a teaching quality evaluation module and an evaluation result display module, wherein the teaching video recording module is connected with the teaching video playing module, and the teaching video playing module is connected with the student question uploading module. The invention can further well master the learning condition of students, effectively improve the teaching efficiency, improve the teaching quality and evaluate the teaching result.

Description

Online education platform based on big data analysis
Technical Field
The invention relates to the technical field of big data analysis, in particular to an online education platform based on big data analysis.
Background
With the acceleration of life rhythm, more and more people are busy at work and families, and can not draw out time for learning, while online education rises rapidly along with the rapid development of the internet, and the flexibility of learning time and the unlimited nature of learning places enable more and more office workers or students to join in the army for online learning.
At present, because a plurality of students exist, teachers cannot see messages in time to answer the messages, so that learning conditions of the students are difficult to master, even if questionnaires are used after class, the students can deal with the messages due to time, learning conditions of the students are difficult to master, teaching quality cannot be improved, and teaching quality assessment cannot be carried out according to teaching results.
Disclosure of Invention
The invention aims to solve the defects that the teaching quality cannot be improved and the teaching quality cannot be evaluated according to a teaching result because the learning condition of a student is difficult to master by an online education platform in the prior art, and provides the online education platform based on the big data analysis.
In order to achieve the purpose, the invention adopts the following technical scheme:
an online education platform based on big data analysis comprises a teaching video recording module, a teaching video playing module, a student question uploading module, a question screen capturing module, a screen capturing storage module, a screen capturing extraction module, a teacher question answering module, a question answering result storage module, a question answering result uploading module, a downloading module, a teaching quality evaluation module and an evaluation result display module, wherein the teaching video recording module is connected with the teaching video playing module, the teaching video playing module is connected with the student question uploading module, the student question uploading module is connected with the question screen capturing module, the question screen capturing module is connected with the screen capturing storage module, the screen capturing storage module is connected with the screen capturing extraction module, the screen capturing extraction module is connected with the teacher question answering module, and the teacher question answering module is connected with the question answering result storage module, the answer result storage module is connected with the answer result uploading module, the answer result uploading module is connected with the downloading module, the downloading module is connected with the teaching quality evaluation module, and the teaching quality evaluation module is connected with the evaluation result display module.
Preferably, the student problem uploading module comprises a bullet screen editing unit, a bullet screen arranging unit, a bullet screen sending unit and a bullet screen display unit.
Preferably, the question screen capturing module comprises a question information receiving unit, a question information identifying unit, a question information classifying unit and a question information processing unit.
Preferably, teacher's module of answering a question includes voice input unit, word conversion unit, contrast inspection unit and result confirm unit, and voice input unit is connected with word conversion unit, and word conversion unit is connected with contrast inspection unit, and contrast inspection unit is connected with result confirm unit, the effectual efficiency that improves the answer.
Preferably, the teaching quality evaluation module comprises a student rating unit, a rating uploading unit, a rating statistical unit and a average extraction unit, the student rating unit is connected with the rating uploading unit, the rating uploading unit is connected with the rating statistical unit, the rating statistical unit is connected with the average extraction unit, and the evaluation result is fed back to the whole teaching condition of the teacher.
Preferably, the evaluation result display module comprises a character display unit, a form display unit and a picture display unit, wherein the character display unit is connected with the form display unit, the form display unit is connected with the picture display unit, and the evaluation result display module displays the evaluation result in the form of characters, forms and pictures, so that teachers can see the deficiency of teaching.
Preferably, the bullet screen editing unit is connected with the bullet screen arranging unit, the bullet screen arranging unit is connected with the bullet screen sending unit, and the bullet screen sending unit is connected with the bullet screen display unit.
Preferably, the problem information receiving unit is connected with the problem information identifying unit, the problem information identifying unit is connected with the problem information classifying unit, and the problem information classifying unit is connected with the problem information processing unit.
According to the online education platform based on big data analysis, a teacher records teaching videos through a teaching video recording module, the teacher records the teaching videos in advance, so that the teacher only needs to play the recorded videos during teaching, the teacher can have sufficient time to supervise students and check problems fed back by the students, the teaching video playing module plays and records the adaptation, the students edit questions during listening to the lessons through the bullet screen when watching the videos, then sort the bullet screen, send the bullet screen after finishing sorting, and play the bullet screen on the education platform at the moment to finish uploading of the problems of the students;
the teaching platform automatically receives and identifies the question information, can classify and process the proposed questions, performs screen capture operation after the processing is completed, stores the screen capture operation after the screen capture operation is completed, a teacher extracts the student questions through a screen capture extraction module in the teaching process, answers the questions of the student by the teacher, firstly performs voice answering on the student questions through a voice input unit, converts the voice into characters through a character conversion unit, and then checks and determines the characters, so that the answering efficiency is effectively improved;
then the answer results are saved and uploaded, students download and check the answer results, and finally the students score and upload, and the scores are counted through a scoring counting unit, then average scores are extracted, the results are fed back to the whole teaching situation of a teacher through evaluation results, and the results are displayed in the form of characters, tables and pictures, so that the teacher can see the defects of teaching, the teaching efficiency can be effectively improved, and the teaching quality is improved.
The invention can further well master the learning condition of students, effectively improve the teaching efficiency, improve the teaching quality and evaluate the teaching result.
Drawings
FIG. 1 is a block diagram of an online education platform based on big data analysis according to the present invention;
FIG. 2 is a block diagram of a student problem uploading module part of an online education platform based on big data analysis according to the present invention;
FIG. 3 is a block diagram of a problem screenshot module part of an online education platform based on big data analysis according to the present invention;
FIG. 4 is a block diagram of a teacher answering module of an online education platform based on big data analysis according to the present invention;
FIG. 5 is a block diagram of a teaching quality assessment module of an online education platform based on big data analysis according to the present invention;
fig. 6 is a block diagram schematically illustrating an evaluation result display module of an online education platform based on big data analysis according to 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.
Referring to fig. 1-6, an online education platform based on big data analysis comprises a teaching video recording module, a teaching video playing module, a student question uploading module, a question screen capturing module, a screen capturing storage module, a screen capturing extraction module, a teacher answering module, an answering result storage module, an answering result uploading module, a downloading module, a teaching quality evaluation module and an evaluation result display module, wherein the teaching video recording module is connected with the teaching video playing module, the teaching video playing module is connected with the student question uploading module, the student question uploading module is connected with the question screen capturing module, the question screen capturing module is connected with the screen capturing storage module, the screen capturing storage module is connected with the screen capturing extraction module, the screen capturing extraction module is connected with the teacher answering module, the teacher answering module is connected with the answering result storage module, the answering result storage module is connected with the answering result uploading module, the answer result uploading module is connected with the downloading module, the downloading module is connected with the teaching quality evaluation module, and the teaching quality evaluation module is connected with the evaluation result display module.
The student question uploading module comprises a bullet screen editing unit, a bullet screen arranging unit, a bullet screen sending unit and a bullet screen display unit.
In the invention, the problem screen capturing module comprises a problem information receiving unit, a problem information identifying unit, a problem information classifying unit and a problem information processing unit.
In the invention, the teacher answering module comprises a voice input unit, a character conversion unit, a comparison and inspection unit and a result determination unit, wherein the voice input unit is connected with the character conversion unit, the character conversion unit is connected with the comparison and inspection unit, and the comparison and inspection unit is connected with the result determination unit, so that the answering efficiency is effectively improved.
The teaching quality evaluation module comprises a student rating unit, a rating uploading unit, a rating statistical unit and a mean extraction unit, wherein the student rating unit is connected with the rating uploading unit, the rating uploading unit is connected with the rating statistical unit, and the rating statistical unit is connected with the mean extraction unit and feeds back the evaluation result to the overall teaching condition of a teacher.
In the invention, the evaluation result display module comprises a character display unit, a form display unit and a picture display unit, wherein the character display unit is connected with the form display unit, the form display unit is connected with the picture display unit, and the evaluation result display module displays the evaluation result in the form of characters, forms and pictures so that teachers can see the deficiency of teaching.
According to the invention, the bullet screen editing unit is connected with the bullet screen arranging unit, the bullet screen arranging unit is connected with the bullet screen sending unit, and the bullet screen sending unit is connected with the bullet screen display unit.
In the invention, the problem information receiving unit is connected with the problem information identifying unit, the problem information identifying unit is connected with the problem information classifying unit, and the problem information classifying unit is connected with the problem information processing unit.
In the invention, when in use, a teacher records teaching videos through the teaching video recording module, the teacher records the teaching videos in advance, so that the teacher only needs to play the recorded videos during teaching, the teacher can have sufficient time to supervise students and check the problems fed back by the students, the teaching video playing module plays and records the adaptation, the students listen to questions during class through the bullet screen editing when watching videos, then the bullet screen is arranged and sent after finishing the arrangement, the bullet screen is played on the education platform at the moment to finish uploading of the problems of the students, the teaching platform automatically receives and identifies the problem information, can classify and process the proposed problems, performs screen cutting operation after finishing the processing, stores the problems after finishing the screen cutting, and the teacher extracts the problems of the students through the screen cutting extraction module during the teaching process, then the teacher answers a question to student's problem, at first carry out pronunciation answer student's problem through the pronunciation type-in unit, convert pronunciation into the characters through the characters conversion unit, check and confirm the characters again, the efficiency of effectual improvement answer, then keep the answer result and upload, the student downloads the answer result and looks over, the student is last graded and uploads, make statistics on grading through the statistical unit that grades, extract average score again, give the teacher's whole teaching situation through the evaluation result feedback, show through the form of characters, form and picture, let the teacher can see the not enough of teaching, and then can effectual improvement teaching efficiency, improve teaching quality.
While there have been shown and described what are at present considered the fundamental principles and essential features of the invention and its advantages, it will be apparent to those skilled in the art that the invention is not limited to the details of the foregoing exemplary embodiments, but is capable of other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.

Claims (8)

1. An online education platform based on big data analysis comprises a teaching video recording module, a teaching video playing module, a student question uploading module, a question screen capturing module, a screen capturing storage module, a screen capturing extraction module, a teacher question answering module, a question answering storage module, a question answering result uploading module, a downloading module, a teaching quality evaluation module and an evaluation result display module, and is characterized in that the teaching video recording module is connected with the teaching video playing module, the teaching video playing module is connected with the student question uploading module, the student question uploading module is connected with the question screen capturing module, the question screen capturing module is connected with the screen capturing storage module, the screen capturing storage module is connected with the screen capturing extraction module, the screen capturing extraction module is connected with the teacher question answering module, and the teacher question answering module is connected with the question answering storage module, the answer result storage module is connected with the answer result uploading module, the answer result uploading module is connected with the downloading module, the downloading module is connected with the teaching quality evaluation module, and the teaching quality evaluation module is connected with the evaluation result display module.
2. The online education platform based on big data analysis according to claim 1, wherein the student question uploading module includes a bullet screen editing unit, a bullet screen sorting unit, a bullet screen sending unit and a bullet screen display unit.
3. The big data analysis-based online education platform according to claim 1, wherein the question screen capture module comprises a question information receiving unit, a question information identification unit, a question information classification unit and a question information processing unit.
4. The online education platform based on big data analysis of claim 1 wherein the teacher answering module includes a voice input unit, a text conversion unit, a comparison check unit and a result determination unit, the voice input unit is connected with the text conversion unit, the text conversion unit is connected with the comparison check unit, and the comparison check unit is connected with the result determination unit.
5. The big data analysis-based online education platform of claim 1, wherein the teaching quality assessment module comprises a student scoring unit, a scoring uploading unit, a scoring statistic unit and a mean extraction unit, the student scoring unit is connected with the scoring uploading unit, the scoring uploading unit is connected with the scoring statistic unit, and the scoring statistic unit is connected with the mean extraction unit.
6. The online education platform based on big data analysis according to claim 1, wherein the evaluation result display module includes a text display unit, a table display unit and a picture display unit, the text display unit is connected with the table display unit, and the table display unit is connected with the picture display unit.
7. The online education platform based on big data analysis according to claim 2, wherein the bullet screen editing unit is connected with the bullet screen arranging unit, the bullet screen arranging unit is connected with the bullet screen sending unit, and the bullet screen sending unit is connected with the bullet screen display unit.
8. The big data analysis-based online education platform according to claim 3, wherein the question information receiving unit is connected with a question information identifying unit, the question information identifying unit is connected with a question information classifying unit, and the question information classifying unit is connected with a question information processing unit.
CN202011584084.XA 2020-12-28 2020-12-28 Online education platform based on big data analysis Pending CN112687139A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011584084.XA CN112687139A (en) 2020-12-28 2020-12-28 Online education platform based on big data analysis

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011584084.XA CN112687139A (en) 2020-12-28 2020-12-28 Online education platform based on big data analysis

Publications (1)

Publication Number Publication Date
CN112687139A true CN112687139A (en) 2021-04-20

Family

ID=75454482

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011584084.XA Pending CN112687139A (en) 2020-12-28 2020-12-28 Online education platform based on big data analysis

Country Status (1)

Country Link
CN (1) CN112687139A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113225575A (en) * 2021-04-29 2021-08-06 读书郎教育科技有限公司 Intelligent classroom question answering interaction system and method

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080318200A1 (en) * 2005-10-13 2008-12-25 Kit King Kitty Hau Computer-Aided Method and System for Guided Teaching and Learning
CN107909864A (en) * 2017-12-21 2018-04-13 重庆工程职业技术学院 A kind of image conversion teaching method and system
CN109274981A (en) * 2018-09-27 2019-01-25 深圳点猫科技有限公司 It is a kind of for educating the living broadcast interactive method and device of cloud platform
CN109754646A (en) * 2019-03-06 2019-05-14 广州南洋理工职业学院 Table top type virtual reality tutoring system
CN111291966A (en) * 2020-01-13 2020-06-16 台州学院 Teacher teaching quality evaluation system and method thereof
CN111949822A (en) * 2020-08-20 2020-11-17 山东大学 Intelligent education video service system based on cloud computing and mobile terminal and operation method thereof

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080318200A1 (en) * 2005-10-13 2008-12-25 Kit King Kitty Hau Computer-Aided Method and System for Guided Teaching and Learning
CN107909864A (en) * 2017-12-21 2018-04-13 重庆工程职业技术学院 A kind of image conversion teaching method and system
CN109274981A (en) * 2018-09-27 2019-01-25 深圳点猫科技有限公司 It is a kind of for educating the living broadcast interactive method and device of cloud platform
CN109754646A (en) * 2019-03-06 2019-05-14 广州南洋理工职业学院 Table top type virtual reality tutoring system
CN111291966A (en) * 2020-01-13 2020-06-16 台州学院 Teacher teaching quality evaluation system and method thereof
CN111949822A (en) * 2020-08-20 2020-11-17 山东大学 Intelligent education video service system based on cloud computing and mobile terminal and operation method thereof

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113225575A (en) * 2021-04-29 2021-08-06 读书郎教育科技有限公司 Intelligent classroom question answering interaction system and method
CN113225575B (en) * 2021-04-29 2022-03-11 读书郎教育科技有限公司 Intelligent classroom question answering interaction system and method

Similar Documents

Publication Publication Date Title
CN108648757B (en) Analysis method based on multi-dimensional classroom information
CN109255028B (en) Teaching quality comprehensive evaluation method based on teaching evaluation data credibility
CN109472472A (en) A kind of artificial intelligence points-scoring system
CN114708525A (en) Deep learning-based student classroom behavior identification method and system
CN206557851U (en) A kind of situation harvester of listening to the teacher of imparting knowledge to students
CN110675674A (en) Online education method and online education platform based on big data analysis
CN110689466A (en) Multi-dimensional data processing method based on recording and broadcasting
CN113781853A (en) Teacher-student remote interactive education platform based on terminal
CN112687139A (en) Online education platform based on big data analysis
CN110223552A (en) A kind of Navigation class Examination for the Crew training education system based on cell phone application
Riyanto The benefits of integrating video making in a speaking class
CN113393095A (en) Teacher teaching quality assessment method
CN107958500A (en) A kind of monitoring system for real border real time information sampling of imparting knowledge to students
CN112164259A (en) Classroom teacher-student interactive teaching system and method
CN110675671A (en) Class management system for teaching
CN111417014A (en) Video generation method, system, device and storage medium based on online education
CN110796577A (en) Information display method based on intelligent class board
Webb Advanced lexical development
KR100385892B1 (en) Foreign Language Speaking Assessment System
CN114936952A (en) Digital education internet learning system
CN114255426A (en) Student concentration degree evaluation system based on video recognition and voice separation technology
CN114298872A (en) Learning situation information processing method
CN209993139U (en) Multifunctional equipment for teaching management
CN113240559A (en) Multimedia teaching device is used in hotel management teaching
CN110796364A (en) Online classroom quality inspection method and device, electronic equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination