CN109948881A - A kind of processing method of teaching data - Google Patents

A kind of processing method of teaching data Download PDF

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CN109948881A
CN109948881A CN201910011831.1A CN201910011831A CN109948881A CN 109948881 A CN109948881 A CN 109948881A CN 201910011831 A CN201910011831 A CN 201910011831A CN 109948881 A CN109948881 A CN 109948881A
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teaching
class
information
knowledge point
point information
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戚扬
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BEIJING HAPPOK INFORMATION TECHNOLOGY Co Ltd
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BEIJING HAPPOK INFORMATION TECHNOLOGY Co Ltd
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Abstract

The present embodiments relate to a kind of processing methods of teaching data, comprising: teaching and research platform obtains the first the data of test results of different class students;The knowledge point information for extracting each examination question carries out classifying and dividing to test question information according to knowledge point information, obtains class's accuracy of the corresponding different classes of each knowledge point information;The teaching data that teacher's terminal is sent is received, teaching data is modified according to each class corresponding class's accuracy, revised teaching data is sent to corresponding teacher's terminal.The present invention is the teaching and research basis of teaching with knowledge point, corresponding teaching data is obtained by examination result, and teaching data is modified, to allow the teacher to carry out the teaching of knowledge point to student according to the teaching data for meeting student's situation, to effectively improve the quality of teaching, it and can be realized by long-range mode teaching and research, make to impart knowledge to students teaching and research is not limited by time and space.

Description

Teaching data processing method
Technical Field
The invention relates to the field of data processing, in particular to a teaching data processing method.
Background
The teaching and teaching research refers to teaching and research work and is an active form for improving teaching quality. The teaching and research activities are insisted on for a long time, the novel teaching information can be transmitted in time, the teaching experience can be popularized, the deepening of teaching reformation can be promoted, and the overall quality of teachers can be improved.
The conventional teaching and research is carried out by teachers of the same grade in a face-to-face meeting mode, the teaching and research is carried out based on the total score of the classes as the center, teachers of the classes with the highest total score share teaching experiences in the teaching and research process, other teachers move the teaching method of the classes with the highest total score to other classes, but the classes with the best total score do not mean that each knowledge point is the best, so that the teaching and research method of moving the teaching data of the classes with the highest total score to other classes cannot effectively help students to master weak knowledge points, and accordingly teaching quality cannot be effectively improved.
Disclosure of Invention
The invention aims to provide a method for processing teaching data, which aims at overcoming the defects of the prior art, obtains corresponding teaching data through examination results by taking knowledge points as the basis of teaching and research, and corrects the teaching data, so that a teacher can perform teaching of the knowledge points on students according to the teaching data according with the conditions of the students, thereby effectively improving the teaching quality, realizing the teaching and research in a remote mode and avoiding the limitation of time and space in the teaching and research.
In view of this, an embodiment of the present invention provides a method for processing teaching data, including:
the teaching and research platform acquires first examination result data of students of different classes; the first examination result data comprises student information, a plurality of examination question information and corresponding examination result information, the student information comprises a student ID and a class ID, the examination question information comprises an examination question ID, and the examination result information comprises a correct state and an incorrect state;
extracting knowledge point information of each test question, and classifying and dividing the test question information according to the knowledge point information to obtain test question information corresponding to the knowledge point information;
according to the knowledge point information, counting the examination result information of all students in the same class, and performing statistical analysis on the examination result information to obtain the class accuracy of each knowledge point information corresponding to different classes;
sorting the class accuracy rates of different classes corresponding to the knowledge point information to obtain a class sorting list; including, in the class ordered list, class IDs for a plurality of classes;
performing teaching and research analysis on the class ranking list corresponding to different knowledge point information, and acquiring a first-ranked class ID for each knowledge point information;
acquiring a related teacher ID in a teacher teaching list according to the acquired class ID ranked first; the teacher teaching list comprises the association relation between the class ID and the teacher ID;
generating a knowledge point teaching acquisition request according to the knowledge point information, and according to a teacher terminal corresponding to the teacher ID;
and receiving the teaching data sent by the teacher terminal, correcting the teaching data according to the class accuracy rate corresponding to each class, and sending the corrected teaching data to the corresponding teacher terminal.
Preferably, the correcting the teaching data according to the class accuracy corresponding to each class specifically includes:
calculating the correct rate difference between the correct rate of the first ranked class and the correct rate of the other ranked classes;
judging whether the accuracy difference value exceeds a first preset threshold value or not;
when the overtaking is needed, the teaching data are corrected, and the corrected teaching data are sent to the corresponding teacher terminal;
and when the instruction data do not exceed the preset value, the instruction data are sent to the corresponding teacher terminal.
Preferably, the method further comprises:
acquiring second examination result data of students of different classes;
extracting knowledge point information of each test question, and performing statistical analysis on the second test result data according to the knowledge point information to obtain the class accuracy of each knowledge point information corresponding to different classes;
judging the type of the knowledge point information; the types include a first type and a second type;
when the type information of the knowledge point information is of a second type, counting the difference value of the class accuracy rates of two examinations of the same class according to the knowledge points;
and when the difference is smaller than a second preset threshold, secondarily correcting the corrected teaching data and sending the corrected teaching data to the corresponding teacher terminal.
Further preferably, when the difference is smaller than a second preset threshold, the method further includes:
acquiring a class ID ranked second according to the class ranking list corresponding to the knowledge point information;
and acquiring corresponding teaching data according to the class ID ranked second, and sending the teaching data to the teacher terminal corresponding to the class with the difference value smaller than a second preset threshold value.
Further preferably, after determining that the type information of the knowledge point information is of the second type, the method further includes:
judging whether the class accuracy corresponding to the knowledge point information is smaller than a third preset threshold value or not;
if the corrected teaching data is smaller than the preset reference value, secondarily correcting the corrected teaching data and sending the corrected teaching data to a corresponding teacher terminal; or,
acquiring a class ID ranked second according to the class ranking list corresponding to the knowledge point information; and acquiring corresponding teaching data according to the class ID ranked second, and sending the teaching data to a corresponding teacher terminal.
Preferably, after the extracting knowledge point information of each test question and classifying and dividing the test question information according to the knowledge point information to obtain test question information corresponding to each knowledge point information, the method further includes:
and establishing an incidence relation between the knowledge points and the corresponding test question IDs.
Further preferably, the statistics of the examination result information of all students in the same class according to the knowledge point information and the statistical analysis of the examination result information to obtain the class accuracy of each knowledge point information corresponding to different classes specifically include:
acquiring a plurality of associated test question IDs according to the knowledge point information;
acquiring examination result information of all students in the same class according to the plurality of examination question IDs, and counting and summarizing the acquired examination result information of all students in the same class to obtain the correct number and the wrong number corresponding to the knowledge points;
and calculating the class accuracy rate information according to the correct number and the wrong number, so that the class accuracy rate of each knowledge point information corresponding to different classes is obtained based on the examination result information of different classes.
Preferably, the method further comprises:
receiving a teaching and research creation request sent by the teacher terminal; the teaching and research creation request comprises school information, class information and teaching and research subject information;
analyzing the teaching and research creation request to obtain the school information, the class information and the teaching and research subject information;
generating a teaching and research invitation request according to the school information and the teaching and research subject information, and sending the request to a related teacher terminal;
establishing network connection among a plurality of teacher terminals so that teachers can carry out live broadcast communication;
and recording and storing the direct broadcasting data.
According to the method for processing the teaching data, provided by the embodiment of the invention, the knowledge points are taken as the basis of teaching and research, the corresponding teaching data are obtained through the examination result, and the teaching data are corrected, so that a teacher can perform teaching of the knowledge points on students according to the teaching data according with the conditions of the students, the teaching quality is effectively improved, the teaching and research can be realized in a remote mode, and the teaching and research is not limited by time and space.
Drawings
Fig. 1 is a flowchart of a method for processing teaching data according to an embodiment of the present invention.
Detailed Description
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
The teaching data processing method provided by the embodiment of the invention is executed on teaching and research platforms among a plurality of schools or teaching and research platforms among classes in the same school, so that teaching and research among teachers are realized. Fig. 1 is a flowchart of a method for processing teaching data according to an embodiment of the present invention, as shown in fig. 1, including:
step 101, acquiring first examination result data of students of different classes by a teaching and research platform;
in order to improve the scores of students and optimize a teaching method, teaching and research of a teaching and research platform enables knowledge points based on examination scores of students in the same grade to be used for teaching, wherein first examination result data refer to data obtained in a first examination, the first examination result data can be examination result data obtained by students in different grades in the same grade based on the same examination paper, or examination result data obtained by students in different schools in the same grade based on different examination papers, the first examination result data comprise student information, a plurality of examination question information and corresponding examination result information, the student information comprises student ID and class ID, the examination question information comprises examination question ID, and the examination result information comprises correct states and wrong states.
102, extracting knowledge point information of each test question, and classifying and dividing the test question information according to the knowledge point information to obtain test question information corresponding to each knowledge point information;
specifically, one or more keywords can be analyzed and extracted according to the test questions or the answers to the test questions, knowledge point information is generated according to the extracted one or more keywords, the more the keywords are, the more the knowledge points are, and in addition, the knowledge point information of the test questions can be preset during question setting.
After the knowledge points of each test question are obtained, the test questions are classified and divided according to the knowledge points, the test questions belonging to the same knowledge point are divided into a group, so that test question information corresponding to each knowledge point information is obtained, and the association relationship between the knowledge points and a plurality of corresponding test question IDs is established, so that the statistics and analysis of subsequent test questions are facilitated.
Step 103, counting the examination result information of all students in the same class according to the knowledge point information, and performing statistical analysis on the examination result information to obtain the class accuracy of each knowledge point information corresponding to different classes;
specifically, a plurality of associated test question IDs are obtained based on one knowledge point information, the class is taken as a unit, the examination result information of all students in the same class is obtained according to the plurality of test question IDs, and the obtained examination result information of all students in the same class is counted and summarized to obtain the correct number and the error number corresponding to the knowledge points; and calculating the class accuracy rate information according to the correct number and the wrong number, so that the class accuracy rate of each knowledge point information corresponding to different classes is obtained based on the examination result information of different classes. In a specific example, taking the knowledge point A, B and the classes 101, 102, and 103 as an example, the accuracy of the 101 class corresponding to the knowledge point a is 98%, the accuracy of the 102 class is 30%, the accuracy of the 103 class is 78%, the accuracy of the 101 class corresponding to the knowledge point B is 38%, the accuracy of the 102 class is 95%, and the accuracy of the 103 class is 40%.
104, sorting the class accuracy rates of different classes corresponding to the knowledge point information to obtain a class sorting list;
a corresponding class ranking list can be obtained for each knowledge point, the class ranking list includes class IDs of multiple classes, and the class ranking with the highest accuracy is the top, in the example described in step 103, the class ranking list obtained for the knowledge point a is 101, 103, 102, and the class ranking list obtained for the knowledge point B is 102, 103, 101.
105, performing teaching and research analysis on the class ranking list corresponding to different knowledge point information, and acquiring a first-ranked class ID for each knowledge point information;
the mastery condition of the knowledge point by the student can be reflected in the class ranking list, the first-ranked class shows that the knowledge point mastery condition of the class is the best, so that the first-ranked class ID is obtained, and the first-ranked classes corresponding to different knowledge points can be the same or different.
Step 106, acquiring a related teacher ID in a teacher teaching list according to the acquired class ID with the first ranking;
the teacher teaching list stores the association relationship between the class ID and the teacher ID in advance, and the teacher who gives lessons corresponding to the class can be known through the class ID.
Step 107, generating a knowledge point teaching acquisition request according to the knowledge point information, and according to a teacher terminal corresponding to the teacher ID;
meanwhile, the class ranking list corresponding to the knowledge point can be sent to the teacher terminal, so that the teacher can know that the students in the class have the best mastery on the knowledge point.
And step 108, receiving the teaching data sent by the teacher terminal, correcting the teaching data according to the class accuracy rate corresponding to each class, and sending the corrected teaching data to the corresponding teacher terminal.
The teacher terminal receives teaching data input by a teacher and sends the teaching data to the teaching and research platform, wherein the teaching data can be teaching courseware, teaching exercise sets, teaching videos, teaching audios, teaching molds and the like related to the knowledge points.
The teaching data of the class with the best score cannot be directly taken into account due to possible differences of the student bases among the classes, the teaching data are corrected according to the actual conditions of the classes, and specifically, the accuracy difference between the accuracy of the first ranked class and the accuracy of the other ranked classes is calculated; and judging whether the accuracy difference exceeds a first preset threshold, wherein the first preset threshold is preset and is a basis for judging whether the teaching data needs to be corrected.
When the difference value of the correct values exceeds a first preset threshold value, the knowledge points are mastered by two class students with a large difference, and the teaching data cannot be directly taken along, so that the teaching data are corrected, the corrected teaching data are sent to a corresponding teacher terminal, the correction can be that the number of times of explanation is increased, the number of exercises is increased, the exercise number is increased, the speed of teaching is slowed down, and the like, so that the teacher can perform another explanation on the knowledge points according to the corrected teaching data, and the students master the knowledge points.
When the accuracy difference does not exceed the first preset threshold, the knowledge points are mastered by two class students, although the difference exists, the difference is not very large, the teaching data can be directly applied, and therefore the teaching data are sent to the corresponding teacher terminal, other teachers can explain the knowledge points again according to the teaching data, and the students master the knowledge points.
After that, the method further comprises: acquiring second examination result data of students of different classes, wherein the second examination result data refers to examination results of a second examination and is the same as the first examination result data in content, and the second examination result data can be the same examination questions as the first examination questions or different examination questions; after the second examination result data is obtained, step 102 and step 103 are executed, namely knowledge point information of each examination question is extracted, statistical analysis is carried out on the second examination result data according to the knowledge point information, and the class accuracy of different classes corresponding to each knowledge point information is obtained. And judging the type of the knowledge point information, wherein the type comprises a first type and a second type, the first type refers to that the knowledge point is a new knowledge point which does not exist in the previous examination, and the second type refers to that the knowledge point appears in the previous examination, is old and is a knowledge point which is taught twice.
When the type information of the knowledge point information is of the first type, it indicates that the knowledge point is a new knowledge point, and the processing method is the same as that of the first test result data, and then steps 104 to 108 are performed.
When the type information of the knowledge point information is of a second type, the knowledge point is explained to be a knowledge point subjected to secondary teaching in the teaching and research, and in order to check the mastery condition of students on the knowledge point after the teaching and research, the difference value of the class accuracy of two examinations of the same class is counted according to the knowledge point; judging whether the difference value is smaller than a second preset threshold value, wherein the second preset threshold value is a basis for judging whether teaching and research are effective, and when the interpolation value is not smaller than the second preset threshold value, the knowledge points mastered by students after teaching and research are greatly improved; and when the difference is smaller than a second preset threshold, which indicates that the mastery of the knowledge point by the students after the teaching and research is not obviously improved, performing secondary correction on the corrected teaching data, wherein the secondary correction can be the enhancement of the primary correction, and can also be other correction methods, and sending the teaching data after the secondary correction to the corresponding teacher terminal so that the teacher corrects the knowledge point again.
Further, when the difference is smaller than a second preset threshold, that is, when the mastery of the knowledge point of the student is not significantly improved after the teaching and research, it indicates that the method may not be suitable for the student of the class, and the teaching data of the class with a relatively small difference from the class may be selected, so the method may further include obtaining the class ID ranked second according to the class ranking list corresponding to the knowledge point information; and acquiring corresponding teaching data according to the class ID of the second ranked class, and sending the teaching data to a teacher terminal corresponding to the class of which the difference is smaller than a second preset threshold value, so that the teacher explains the knowledge point again according to the teaching data of the second ranked class, and the students learn the knowledge point again.
In a preferred implementation, after the type information of the knowledge point information is judged to be the second type, whether the student really grasps the knowledge point is also judged, that is, whether the class accuracy corresponding to the knowledge point information is smaller than a third preset threshold value, wherein the third preset threshold value is a judgment basis for judging whether the student grasps the knowledge point; when the class accuracy rate corresponding to the knowledge point information is greater than a third preset threshold, for example, 95%, it indicates that the students in the class already know the knowledge points after the teaching and research; when the class accuracy rate corresponding to the knowledge point information is lower than a third preset threshold value, which indicates that students in the class still do not completely master the knowledge point after the teaching and research, performing secondary correction on the corrected teaching data, and sending the corrected teaching data to a corresponding teacher terminal; or acquiring a class ID ranked second according to the class ranking list corresponding to the knowledge point information; and acquiring corresponding teaching data according to the class ID ranked second, and sending the teaching data to a corresponding teacher terminal, so that the teacher explains the knowledge point again, and the students learn the knowledge point again.
In order to facilitate the teaching and research of the teaching method, the teaching and research can be performed in a remote manner, specifically, before step 101, the method further includes: the teaching and research platform receives a teaching and research establishment request sent by a teacher terminal, wherein the teaching and research establishment request comprises school information, class information and teaching and research subject information; analyzing the teaching and research creation request to obtain school information, class information and teaching and research subject information; the method comprises the steps that a teaching and research invitation request is generated according to school information and teaching and research subject information and is sent to a relevant teacher terminal, the teaching and research invitation request can be sent to other teachers in the school and can also be sent to other teachers in different regions, and the other teachers can receive the invitation request through own teacher terminals, so that network connection among a plurality of teacher terminals is established, the teachers can carry out live broadcast real-time communication and communication, and teaching levels are improved mutually; meanwhile, the live broadcast data is recorded and stored, so that the teaching and research process is recorded, and teachers who do not participate in the live broadcast teaching and research can check the teaching and research.
Furthermore, in the course of teaching, research and live broadcasting interaction, different teachers can perform teaching explanation in turn, and other teachers or students can participate in the study, grading and evaluation of teaching contents of teachers through mobile phones, PADs, PCs and other devices, so that the purposes of improving the processing method of teaching data and improving the teaching quality are achieved.
According to the method for processing the teaching data, provided by the embodiment of the invention, the knowledge points are taken as the basis of teaching and research, the corresponding teaching data are obtained through the examination result, and the teaching data are corrected, so that a teacher can perform teaching of the knowledge points on students according to the teaching data according with the conditions of the students, the teaching quality is effectively improved, the teaching and research can be realized in a remote mode, and the teaching and research is not limited by time and space.
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, a software module executed by a processor, or a combination of the two. The software modules may be disposed in a random access memory (RA teaching data processing method), a memory, a read only memory (RO teaching data processing method), an electrically programmable RO teaching data processing method, an electrically erasable programmable RO teaching data processing method, a register, a hard disk, a removable disk, a CD-RO teaching data processing method, or any other form of storage medium known in the art.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (8)

1. A method for processing instructional data, the method comprising:
the teaching and research platform acquires first examination result data of students of different classes; the first examination result data comprises student information, a plurality of examination question information and corresponding examination result information, the student information comprises a student ID and a class ID, the examination question information comprises an examination question ID, and the examination result information comprises a correct state and an incorrect state;
extracting knowledge point information of each test question, and classifying and dividing the test question information according to the knowledge point information to obtain test question information corresponding to the knowledge point information;
according to the knowledge point information, counting the examination result information of all students in the same class, and performing statistical analysis on the examination result information to obtain the class accuracy of each knowledge point information corresponding to different classes;
sorting the class accuracy rates of different classes corresponding to the knowledge point information to obtain a class sorting list; including, in the class ordered list, class IDs for a plurality of classes;
performing teaching and research analysis on the class ranking list corresponding to different knowledge point information, and acquiring a first-ranked class ID for each knowledge point information;
acquiring a related teacher ID in a teacher teaching list according to the acquired class ID ranked first; the teacher teaching list comprises the association relation between the class ID and the teacher ID;
generating a knowledge point teaching acquisition request according to the knowledge point information, and according to a teacher terminal corresponding to the teacher ID;
and receiving the teaching data sent by the teacher terminal, correcting the teaching data according to the class accuracy rate corresponding to each class, and sending the corrected teaching data to the corresponding teacher terminal.
2. The method for processing teaching data according to claim 1, wherein the correcting the teaching data according to the class accuracy corresponding to each class specifically includes:
calculating the correct rate difference between the correct rate of the first ranked class and the correct rate of the other ranked classes;
judging whether the accuracy difference value exceeds a first preset threshold value or not;
when the overtaking is needed, the teaching data are corrected, and the corrected teaching data are sent to the corresponding teacher terminal;
and when the instruction data do not exceed the preset value, the instruction data are sent to the corresponding teacher terminal.
3. The method of processing instructional data according to claim 1, further comprising:
acquiring second examination result data of students of different classes;
extracting knowledge point information of each test question, and performing statistical analysis on the second test result data according to the knowledge point information to obtain the class accuracy of each knowledge point information corresponding to different classes;
judging the type of the knowledge point information; the types include a first type and a second type;
when the type information of the knowledge point information is of a second type, counting the difference value of the class accuracy rates of two examinations of the same class according to the knowledge points;
and when the difference is smaller than a second preset threshold, secondarily correcting the corrected teaching data and sending the corrected teaching data to the corresponding teacher terminal.
4. The method for processing instructional data according to claim 3, wherein when the difference is smaller than a second preset threshold, the method further comprises:
acquiring a class ID ranked second according to the class ranking list corresponding to the knowledge point information;
and acquiring corresponding teaching data according to the class ID ranked second, and sending the teaching data to the teacher terminal corresponding to the class with the difference value smaller than a second preset threshold value.
5. The teaching data processing method according to claim 3, wherein after judging that the type information of the knowledge point information is of the second type, the method further comprises:
judging whether the class accuracy corresponding to the knowledge point information is smaller than a third preset threshold value or not;
if the corrected teaching data is smaller than the preset reference value, secondarily correcting the corrected teaching data and sending the corrected teaching data to a corresponding teacher terminal; or,
acquiring a class ID ranked second according to the class ranking list corresponding to the knowledge point information; and acquiring corresponding teaching data according to the class ID ranked second, and sending the teaching data to a corresponding teacher terminal.
6. The method for processing teaching data according to claim 1, wherein after the extracting knowledge point information of each test question and classifying and dividing the test question information according to the knowledge point information to obtain test question information corresponding to each knowledge point information, the method further comprises:
and establishing an incidence relation between the knowledge points and the corresponding test question IDs.
7. The teaching data processing method according to claim 6, wherein the step of performing statistics on the examination result information according to the knowledge point information and performing statistical analysis on the examination result information to obtain the class accuracy of each knowledge point information corresponding to different classes specifically comprises:
acquiring a plurality of associated test question IDs according to the knowledge point information;
acquiring examination result information of all students in the same class according to the plurality of examination question IDs, and counting and summarizing the acquired examination result information of all students in the same class to obtain the correct number and the wrong number corresponding to the knowledge points;
and calculating the class accuracy rate information according to the correct number and the wrong number, so that the class accuracy rate of each knowledge point information corresponding to different classes is obtained based on the examination result information of different classes.
8. The method of processing instructional data according to claim 1, further comprising:
receiving a teaching and research creation request sent by the teacher terminal; the teaching and research creation request comprises school information, class information and teaching and research subject information;
analyzing the teaching and research creation request to obtain the school information, the class information and the teaching and research subject information;
generating a teaching and research invitation request according to the school information and the teaching and research subject information, and sending the request to a related teacher terminal;
establishing network connection among a plurality of teacher terminals so that teachers can carry out live broadcast communication; and recording and storing the direct broadcasting data.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110956376A (en) * 2019-11-19 2020-04-03 浙江创课网络科技有限公司 Analysis method and system suitable for measuring learning effect of self-adaptive students
CN111104455A (en) * 2019-12-18 2020-05-05 四川文轩教育科技有限公司 Multisource and multidimensional school teaching transverse information difference comparison analysis method

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104424284A (en) * 2013-08-30 2015-03-18 北大方正集团有限公司 Information processing method and education platform
CN106097206A (en) * 2016-06-30 2016-11-09 深圳市采集科技有限公司 A kind of realization method and system of teachers ' teaching self-examination function
CN106157718A (en) * 2016-08-23 2016-11-23 北京汉博信息技术有限公司 A kind of visualization data interactive method for long-distance education and system
CN107194842A (en) * 2017-05-26 2017-09-22 四川才子软件信息网络有限公司 A kind of quality of instruction diagnostic system and diagnostic method
CN108074080A (en) * 2017-12-29 2018-05-25 安徽国通亿创科技股份有限公司 A kind of campus online teaching management system based on internet
CN109034590A (en) * 2018-07-18 2018-12-18 王奎 A kind of intelligentized teaching quality evaluation for teachers management system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104424284A (en) * 2013-08-30 2015-03-18 北大方正集团有限公司 Information processing method and education platform
CN106097206A (en) * 2016-06-30 2016-11-09 深圳市采集科技有限公司 A kind of realization method and system of teachers ' teaching self-examination function
CN106157718A (en) * 2016-08-23 2016-11-23 北京汉博信息技术有限公司 A kind of visualization data interactive method for long-distance education and system
CN107194842A (en) * 2017-05-26 2017-09-22 四川才子软件信息网络有限公司 A kind of quality of instruction diagnostic system and diagnostic method
CN108074080A (en) * 2017-12-29 2018-05-25 安徽国通亿创科技股份有限公司 A kind of campus online teaching management system based on internet
CN109034590A (en) * 2018-07-18 2018-12-18 王奎 A kind of intelligentized teaching quality evaluation for teachers management system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
陈晓端等: "《课程与教学通论》", 陕西师范大学出版社, pages: 286 - 288 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110956376A (en) * 2019-11-19 2020-04-03 浙江创课网络科技有限公司 Analysis method and system suitable for measuring learning effect of self-adaptive students
CN110956376B (en) * 2019-11-19 2023-08-11 自考人网络科技(深圳)有限公司 Analysis method and system suitable for measuring self-adaptive student learning effect
CN111104455A (en) * 2019-12-18 2020-05-05 四川文轩教育科技有限公司 Multisource and multidimensional school teaching transverse information difference comparison analysis method

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