CN113139793A - Education platform student user intelligent management method, system, equipment and computer storage medium - Google Patents

Education platform student user intelligent management method, system, equipment and computer storage medium Download PDF

Info

Publication number
CN113139793A
CN113139793A CN202110480513.7A CN202110480513A CN113139793A CN 113139793 A CN113139793 A CN 113139793A CN 202110480513 A CN202110480513 A CN 202110480513A CN 113139793 A CN113139793 A CN 113139793A
Authority
CN
China
Prior art keywords
education platform
teaching course
student
class
teaching
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.)
Withdrawn
Application number
CN202110480513.7A
Other languages
Chinese (zh)
Inventor
刘偲偲
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.)
Wuhan Qixiang Culture Media Co ltd
Original Assignee
Wuhan Qixiang Culture Media 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 Wuhan Qixiang Culture Media Co ltd filed Critical Wuhan Qixiang Culture Media Co ltd
Priority to CN202110480513.7A priority Critical patent/CN113139793A/en
Publication of CN113139793A publication Critical patent/CN113139793A/en
Withdrawn legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/103—Workflow collaboration or project management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2462—Approximate or statistical queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25—Integrating or interfacing systems involving database management systems
    • G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/20—Education
    • G06Q50/205—Education administration or guidance

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Strategic Management (AREA)
  • Databases & Information Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Human Resources & Organizations (AREA)
  • Data Mining & Analysis (AREA)
  • Tourism & Hospitality (AREA)
  • General Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Educational Technology (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Educational Administration (AREA)
  • General Business, Economics & Management (AREA)
  • Probability & Statistics with Applications (AREA)
  • Quality & Reliability (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Computational Linguistics (AREA)
  • Fuzzy Systems (AREA)
  • Operations Research (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Electrically Operated Instructional Devices (AREA)

Abstract

The invention discloses an education platform student user intelligent management method, a system, equipment and a computer storage medium, wherein the number of the purchased students of each teaching course in an education platform is obtained, the purchasing number ratio of the students of each teaching course is analyzed, the attendance number ratio of the students in each course in each teaching course is counted and analyzed, the class time length of each student in each course in each teaching course is recorded, and the popularity coefficient of each teaching course in the education platform for students is comprehensively calculated and displayed; meanwhile, the number of attendance check-in times of each student user after purchasing each teaching course is counted, the attendance rate of each student user after purchasing each teaching course is analyzed, the learning duration and the test score of each student user in each class in each purchased teaching course are obtained, the learning interest coefficient of each student user for each purchased teaching course is calculated and displayed, and therefore the student user management level of the education platform is improved.

Description

Education platform student user intelligent management method, system, equipment and computer storage medium
Technical Field
The invention relates to the field of student user management, in particular to an educational platform student user intelligent management method, system, equipment and computer storage medium.
Background
The education platform organically combines traditional teaching contents with a network teaching mode, not only breaks through traditional constraints, but also effectively improves the learning interest of student users by utilizing the advantages and convenience of network teaching, and promotes the education platform to step into a brand-new development stage through continuous exploration and practice of the student users. At present, the existing education platform student user management system analyzes the popularity of the corresponding teaching course according to the purchasing number of the teaching course, and partial student users can not be satisfied with the education and learning requirements due to the fact that the phenomenon of wind-following purchase occurs, and the later partial student users lose learning interest after class, thereby reducing the learning efficiency of the student users Systems, apparatuses, and computer storage media.
Disclosure of Invention
The invention aims to provide an education platform student user intelligent management method, a system, equipment and a computer storage medium, wherein the number of the purchased students of each teaching course in the education platform is obtained, the ratio of the number of the purchased students of each teaching course in the education platform is analyzed, the number of the signed-in students in each class in each teaching course in the education platform is counted, the ratio of the signed-in number of the students in each class in each teaching course is analyzed, the class-on duration of each student in each class in each teaching course is recorded, the popularity coefficient of each teaching course in the education platform to students is comprehensively calculated and displayed; meanwhile, the number of attendance check-in times of each student user after purchasing each teaching course in the education platform is counted, the class attendance rate of each student user after purchasing each teaching course in the education platform is analyzed, the learning duration and the test score of each student user in each class in each purchased teaching course are obtained, the average learning duration and the average test score of each student user after purchasing each teaching course are analyzed, meanwhile, the learning interest coefficient of each student user in the education platform for each purchased teaching course is comprehensively calculated and displayed, and the problems in the background technology are solved.
The purpose of the invention can be realized by the following technical scheme:
in a first aspect, the invention provides an educational platform student user intelligent management method, which comprises the following steps;
s1, acquiring the number of the student users purchasing in each teaching course in the education platform, and analyzing the proportion of the number of the student users purchasing in each teaching course in the education platform;
s2, counting the number of attendance of student users in each class in each teaching course in the education platform, and analyzing the ratio of the number of attendance of the student users in each class in each teaching course;
s3, recording the class time of each student user in each class time in each teaching course, comprehensively calculating the popularity coefficient of each teaching course in the education platform to students, and displaying;
s4, counting the attendance check-in times of each student user in the education platform after purchasing each teaching course, and analyzing the attendance rate of each student user in the education platform after purchasing each teaching course;
s5, acquiring the learning duration and the test score of each class time of each student user in each purchased teaching course, and analyzing the average learning duration and the average test score of each student user after purchasing each teaching course;
s6, calculating the learning interest coefficient of each student user in the comprehensive education platform for each purchased teaching course, and displaying the learning interest coefficient;
the intelligent management method for the student users of the education platform uses an intelligent management system for the student users of the education platform, and comprises a teaching course numbering module, a purchasing number counting module, a purchasing number analyzing module, a sign-in number counting module, a number ratio analyzing module, a class time acquiring module, a sign-in number acquiring module, a class rate analyzing module, a learning data counting module, a learning data analyzing module, an analyzing server, a display terminal and a storage database;
the system comprises a teaching course number counting module, a purchasing number analyzing module and a number ratio analyzing module, wherein the purchasing number counting module is respectively connected with a teaching course number counting module, the purchasing number analyzing module and the number ratio analyzing module;
the teaching course numbering module is used for numbering each teaching course needing to be purchased in the education platform, numbering each teaching course in sequence according to a set sequence, and forming a numbering set A (a) of each teaching course in the education platform1,a2,...,ai,...,an)，aiThe number of the ith teaching course in the education platform is represented, and the number set of each teaching course in the education platform is sent to the purchasing number counting module;
the purchasing number counting module is used for receiving the number set of each teaching course in the education platform sent by the teaching course number module, respectively acquiring the purchasing number of student users of each teaching course in the education platform, and forming a purchasing number set X (X) of student users of each teaching course in the education platform1,x2,...,xi,...,xn)，xiThe number of the student users who buy the ith teaching course in the education platform is represented, and the number of the student users who buy the ith teaching course in the education platform is respectively sent to a purchasing number analysis module and a number ratio analysis module;
the purchasing number analysis module is used for receiving the student user purchasing number set of each teaching course in the education platform sent by the purchasing number counting module, extracting the number of the successfully registered student users in the education platform stored in the storage database, calculating the purchasing number ratio of the student users of each teaching course in the education platform, and sending the purchasing number ratio of the student users of each teaching course in the education platform to the analysis server;
the attendance number counting module is used for counting attendance numbers of student users in each class in each teaching course in the education platform, respectively counting the attendance numbers of the student users in each class in each teaching course in the education platform, and forming a set Y of attendance numbers of the student users in each class in each teaching course in the education platformiA(yia1,yia2,...,yiaj,...,yiam) Wherein y isiaj≤xi，yiajThe number ratio analysis module is used for sending the number of the student users signing in to the ith class in the education platform and the number of the student users signing in to each class in each teaching class in the education platform;
the system comprises a number ratio analysis module, a number counting module, an analysis server and a user number counting module, wherein the number ratio analysis module is used for receiving a student user purchasing number set of each teaching course in an education platform sent by the purchasing number counting module, receiving a student user attendance number set of each teaching course in the education platform sent by the attendance number counting module, calculating a student user attendance number ratio of each teaching course in the education platform, and sending the student user attendance number ratio of each teaching course in the education platform to the analysis server;
the on-class time length acquisition module is used for acquiring the on-class time length of each student user in each class time in each teaching course in the education platform, recording the on-class time-to-card time and the off-class time-to-card time of each student user in each class time in each teaching course in the education platform respectively, acquiring the on-class time length of each student user in each class time in each teaching course in the education platform, and forming a set of on-class time length of each student user in each class time in each teaching course in the education platform
Figure BDA0003049055000000041
Figure BDA0003049055000000042
Expressed as the time length of the f < th > student user in the jth class hour in the ith teaching course in the education platform, and the time lengths of the lessons in the teaching courses in the education platformThe student users send the class hour set to an analysis server;
the analysis server is used for receiving the purchasing number ratio of student users of each teaching course in the education platform sent by the purchasing number analysis module, receiving the attendance number ratio of the student users in each class in each teaching course in the education platform generated by the purchasing number ratio analysis module, receiving the class time length collection of the student users in each class in each teaching course in the education platform sent by the class time length acquisition module, extracting the weight influence coefficients of the purchasing number ratio of the courses, the attendance number ratio of the students, the class time length ratio of the students and the standard time length of each teaching course in the education platform stored in the storage database, calculating the popularity coefficient of each teaching course in the education platform to the students, and sending the popularity coefficient of each teaching course in the education platform to the display terminal;
the check-in times acquisition module is used for acquiring the check-in times of each teaching course purchased by each student in the education platform, counting the check-in times of each teaching course purchased by each student in the education platform, and forming a check-in times set Z of each teaching course purchased by each student in the education platformpA(zpa1,zpa2,...,zpav,...,zpal) L is less than or equal to n, wherein p is 1,2General assembly，zpavThe number of attendance check-in times for the pth student user to purchase the vth teaching course in the education platform is represented, and the number of attendance check-in times for the student users to purchase the teaching courses in the education platform is sent to the attendance rate analysis module;
the system comprises a attendance rate analysis module, an attendance rate acquisition module, an analysis server and a learning module, wherein the attendance rate analysis module is used for receiving a class attendance time set sent by the attendance time acquisition module, wherein each student user in the education platform purchases each teaching course;
the learning data statistical module is used for learning data of each class time of each student user in each purchased teaching course in the education platformCounting is carried out, the learning duration and the test score of each class time of each student user in each purchased teaching course in the education platform are respectively counted, and a learning duration set of each class time of each student user in each purchased teaching course in the education platform is formed
Figure BDA0003049055000000051
Figure BDA0003049055000000052
The learning duration of the s-th class hour in the purchased v-th teaching course of the p-th student user in the education platform is represented, and a test score set of each class hour in each purchased teaching course of each student user in the education platform is formed at the same time
Figure BDA0003049055000000053
Figure BDA0003049055000000054
The test score of the pth student user in the education platform in the purchased nth teaching course is expressed, and the learning time length set and the test score set of each class time of each student user in each purchased teaching course in the education platform are sent to the learning data analysis module;
the learning data analysis module is used for receiving a learning time length set and a test score set of each class time of each student user in each purchased teaching course in the education platform sent by the learning data statistics module, respectively calculating the average learning time length and the average test score of each teaching course purchased by each student user in the education platform, and sending the average learning time length and the average test score of each teaching course purchased by each student user in the education platform to the analysis server;
the analysis server is used for receiving the class rate of each teaching course purchased by each student user in the education platform sent by the class rate analysis module, receiving the average learning time length and the average test score of each teaching course purchased by each student user in the education platform sent by the learning data analysis module, extracting the learning interest degree influence proportional coefficient corresponding to the learning time length and the learning test score in the storage database and the standard qualified test score of the teaching courses in the education platform, calculating the learning interest degree coefficient of each student user in the education platform for each purchased teaching course, and sending the learning interest degree coefficient of each student user in the education platform for each purchased teaching course to the display terminal;
the display terminal is used for receiving and displaying the popularity coefficient of each teaching course in the education platform sent by the analysis server, and the learning interest coefficient of each student user in the education platform for each purchased teaching course;
the storage database is used for storing the number X of the student users successfully registered in the education platformGeneral assemblyAnd standard qualification test score W for teaching courses in an educational platformSign boardAnd meanwhile, the standard time length of each teaching course in the education platform is stored, the weight influence coefficients of the course purchasing number ratio, the student attendance number ratio and the student class time length ratio are stored and are respectively marked as alpha, beta and x, and the learning interest degree influence proportion coefficients corresponding to the class time learning time length and the class time test score are stored and are respectively marked as mu and eta.
In one possible design of the first aspect, the calculation formula of the purchasing number of the student users of each teaching course in the education platform is
Figure BDA0003049055000000061
kiThe number of purchases of student users represented as the ith teaching course in the education platform, xiNumber of student user purchases, X, represented as the ith teaching course in the education platformGeneral assemblyExpressed as the number of student users successfully registered in the educational platform.
In a possible design of the first aspect, the calculation formula of the ratio of the number of the student users signing in each class in each teaching course in the education platform is
Figure BDA0003049055000000071
γiajExpressed as the attendance of the student user at the jth class hour in the ith teaching course in the education platformNumber ratio, yiajExpressed as the number of the student users signing in at jth class time in ith teaching course in the education platform, xiRepresenting the number of student users purchasing the ith teaching course in the education platform.
In one possible design of the first aspect, each teaching course in the education platform is calculated according to the popularity coefficient of the student
Figure BDA0003049055000000072
ξiExpressed as the popularity coefficient of the ith teaching course in the education platform to students, alpha, beta and chi are respectively expressed as the weight influence coefficients of the proportion of the number of purchasers of the course, the proportion of the number of sign-ins of the students and the proportion of the length of the students in class, and kiStudent user purchase proportion, gamma, expressed as the ith teaching course in the education platformiajExpressed as the ratio of the number of the student users signing in the jth class in the ith teaching course in the education platform,
Figure BDA0003049055000000073
expressed as the class time of the f-th student user in the jth class time in the ith teaching class in the education platform, Ti' is expressed as the standard duration of the ith teaching course in the education platform, yiajThe number of the student users signing in at jth class time in the ith teaching course in the education platform is represented, and m is the total class number of the ith teaching course in the education platform.
In a possible design of the first aspect, the calculation formula of the class rate of each student user purchasing each teaching course in the education platform is
Figure BDA0003049055000000074
λpavRepresenting the class rate, z, for the p-th student user in the education platform to purchase the v-th teaching coursepavThe number of attendance check-in times for the pth student user to purchase the pth teaching course in the education platform is shown, and u is the total class time number of the pth teaching course in the education platform
On the first sideIn one possible design of the teaching platform, the average learning duration of each teaching course purchased by each student user in the education platform is calculated according to the formula
Figure BDA0003049055000000081
Figure BDA0003049055000000082
Representing the average learning time for the p-th student user in the education platform to purchase the v-th teaching course,
Figure BDA0003049055000000083
the learning duration of the pth student user in the education platform in the purchased pth teaching course is shown, and u is the total class number of the pth teaching course in the education platform.
In one possible design of the first aspect, the average test score for each student user purchasing each teaching course in the education platform is calculated as
Figure BDA0003049055000000084
Figure BDA0003049055000000085
Expressed as the average test score for the p-th student user in the educational platform to purchase the v-th teaching course,
Figure BDA0003049055000000086
expressed as the test score of the pth student user in the education platform in the purchased pth teaching course in the s course, and u is expressed as the total class number of the pth teaching course in the education platform.
In a possible design of the first aspect, the learning interest factor of each student user in the education platform for each purchased teaching course is calculated as
Figure BDA0003049055000000087
ψpavShowing the fun of learning for the purchased v-th teaching course for the p-th student user in the education platformCoefficient of interest, λpavExpressed as the class rate of the pth student user purchasing the pth teaching course in the education platform, mu and eta are respectively expressed as the learning interest degree influence proportional coefficients corresponding to the class time learning duration and the class time testing score,
Figure BDA0003049055000000088
expressed as the average learning duration, T, for the p-th student user to purchase the v-th teaching course in the education platformv' expressed as a standard length of time for the v-th teaching session in the educational platform,
Figure BDA0003049055000000089
expressed as the average test score, W, for the p-th student user purchasing the v-th teaching course in the educational platformSign boardExpressed as a standard qualification test score for the teaching lesson in the educational platform.
In a second aspect, the present invention also provides an apparatus comprising: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the server; the processor retrieves the computer program from the non-volatile memory through the network interface when running, and runs the computer program through the memory to execute the method of the present invention.
In a third aspect, the present invention further provides a computer storage medium, where a computer program is burned in the computer storage medium, and the computer program implements the method of the present invention when running in a memory of a server.
Has the advantages that:
(1) the invention provides an education platform student user intelligent management method, a system, equipment and a computer storage medium, which lay a foundation for later-stage calculation of the popularity coefficient of each teaching course by acquiring the purchasing number of student users of each teaching course in an education platform, analyzing the purchasing number ratio of the student users of each teaching course in the education platform, counting the attendance number of the student users in each class in each teaching course in the education platform, analyzing the attendance number ratio of the student users in each class in each teaching course, simultaneously recording the class-going duration of each student user in each class in each teaching course, comprehensively calculating the popularity coefficient of each teaching course in the education platform for the students and displaying the popularity coefficient, thereby effectively avoiding the phenomenon of wind-following purchase of the student users, providing instructive reference data for later-stage student users to purchase the teaching courses, the interest of students in the later period can be improved when the students go to school, the learning efficiency of the students is increased, and the requirements of the students for education of the students are met.
(2) The invention analyzes the class attendance rate of each student user after purchasing each teaching course in the education platform by counting the class attendance times of each student user after purchasing each teaching course in the education platform, provides reliable reference data for later-stage calculation of the learning interest degree coefficient of each student user for each purchased teaching course, acquires the learning duration and the test score of each student user during each class in each purchased teaching course, analyzes the average learning duration and the average test score of each student user after purchasing each teaching course, and simultaneously comprehensively calculates the learning interest degree coefficient of each student user in each purchased teaching course in the education platform, thereby comprehensively analyzing the learning interest of the student user for the purchased teaching course, improving the accuracy and the reliability of the analysis data, displaying and visually feeding back the learning effect of the student user, the education platform can adjust the teaching courses in time, and the student user management level of the education platform is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of the method steps of the present invention;
fig. 2 is a schematic view of a module connection structure 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. 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, a first aspect of the present invention provides a method for intelligent management of student users on an education platform, comprising the following steps;
s1, acquiring the number of the student users purchasing in each teaching course in the education platform, and analyzing the proportion of the number of the student users purchasing in each teaching course in the education platform;
s2, counting the number of attendance of student users in each class in each teaching course in the education platform, and analyzing the ratio of the number of attendance of the student users in each class in each teaching course;
s3, recording the class time of each student user in each class time in each teaching course, comprehensively calculating the popularity coefficient of each teaching course in the education platform to students, and displaying;
s4, counting the attendance check-in times of each student user in the education platform after purchasing each teaching course, and analyzing the attendance rate of each student user in the education platform after purchasing each teaching course;
s5, acquiring the learning duration and the test score of each class time of each student user in each purchased teaching course, and analyzing the average learning duration and the average test score of each student user after purchasing each teaching course;
and S6, calculating and displaying the learning interest coefficient of each student user in the comprehensive education platform for each purchased teaching course.
Referring to fig. 2, the intelligent management method for student users of an education platform uses an intelligent management system for student users of an education platform, which includes a teaching course numbering module, a purchasing number counting module, a purchasing number analyzing module, a attendance number counting module, a number ratio analyzing module, a class attendance time acquiring module, an attendance number acquiring module, a class attendance rate analyzing module, a learning data counting module, a learning data analyzing module, an analyzing server, a display terminal and a storage database.
The number of purchasers statistics module respectively with teaching course numbering module, number of purchasers analysis module and number ratio analysis module are connected, number of purchasers analysis module is connected with analysis server and storage database respectively, number ratio analysis module is connected with number of registering statistics module and analysis server respectively, rate of going to school analysis module respectively with sign in the number of times acquire the module and be connected with analysis server, study data analysis module is connected with study data statistics module and analysis server respectively, analysis server respectively with last class hour length acquire the module, display terminal and storage database are connected.
The teaching course numbering module is used for numbering each teaching course needing to be purchased in the education platform, numbering each teaching course in sequence according to a set sequence, and forming a numbering set A (a) of each teaching course in the education platform1,a2,...,ai,...,an)，aiThe number of the ith teaching course in the education platform is represented, and the number set of each teaching course in the education platform is sent to the purchasing number counting module.
The purchasing number counting module is used for receiving the number set of each teaching course in the education platform sent by the teaching course number module, respectively acquiring the purchasing number of student users of each teaching course in the education platform, and forming a purchasing number set X (X) of student users of each teaching course in the education platform1,x2,...,xi,...,xn)，xiThe number of the student user purchasing persons of the ith teaching course in the education platform is represented, and the student user purchasing persons of all the teaching courses in the education platform are respectively sent to the purchasing person number analysis module and the person number ratio analysis module.
The purchasing number analysis module is used for receiving the purchasing number set of the student users of each teaching course in the education platform sent by the purchasing number counting module, extracting the number of the student users successfully registered in the education platform stored in the storage database, and calculating each teaching course in the education platformStudent user purchasing number ratio of course
Figure BDA0003049055000000121
kiThe number of purchases of student users represented as the ith teaching course in the education platform, xiNumber of student user purchases, X, represented as the ith teaching course in the education platformGeneral assemblyThe number of the student users who are successfully registered in the education platform is represented, the number of the student user purchasers of each teaching course in the education platform is sent to the analysis server, and a foundation is laid for calculating the popularity coefficient of each teaching course by the students in the later period.
The attendance number counting module is used for counting attendance numbers of student users in each class in each teaching course in the education platform, respectively counting the attendance numbers of the student users in each class in each teaching course in the education platform, and forming a set Y of attendance numbers of the student users in each class in each teaching course in the education platformiA(yia1,yia2,...,yiaj,...,yiam) Wherein y isiaj≤xi，yiajThe number ratio analysis module is used for showing the number of the student users signing in at jth class time in the ith teaching course in the education platform and sending the number of the student users signing in at each class time in each teaching course in the education platform in a set manner.
The people number ratio analysis module is used for receiving the student user purchasing number set of each teaching course in the education platform sent by the purchasing number counting module, receiving the student user attendance number set of each teaching course in the education platform sent by the attendance number counting module, and calculating the student user attendance number ratio of each teaching course in the education platform
Figure BDA0003049055000000122
γiajThe number is expressed as the ratio of the number of the student users signing in the jth class time in the ith teaching course in the education platform, yiajExpressed as the jth class hour in the ith teaching course in the education platformNumber of student user sign-in, xiThe number of the students who buy the ith teaching course in the education platform is represented, the ratio of the number of the students who sign in each class in each teaching course in the education platform is sent to the analysis server, and a foundation is laid for calculating the popularity coefficient of each teaching course by the students in the later period.
The on-class time length acquisition module is used for acquiring the on-class time length of each student user in each class time in each teaching course in the education platform, recording the on-class time-to-card time and the off-class time-to-card time of each student user in each class time in each teaching course in the education platform respectively, acquiring the on-class time length of each student user in each class time in each teaching course in the education platform, and forming a set of on-class time length of each student user in each class time in each teaching course in the education platform
Figure BDA0003049055000000131
Figure BDA0003049055000000132
The class-setting time is represented as the class-setting time of the fth student user in the jth class time in the ith teaching course in the education platform, the class-setting time of each student user in each class time in each teaching course in the education platform is collected and sent to the analysis server, and reliable reference data are provided for later-stage calculation of the popularity coefficient of each teaching course by the students.
The analysis server is used for receiving the purchasing number ratio of student users of each teaching course in the education platform sent by the purchasing number analysis module, receiving the attendance number ratio of the student users in each class in each teaching course in the education platform generated by the purchasing number ratio analysis module, receiving the class time length collection of the student users in each class in each teaching course in the education platform sent by the class time length acquisition module, extracting the weight influence coefficients of the purchasing number ratio of the courses, the attendance number ratio of the students, the class time length ratio of the students and the standard time length of each teaching course in the education platform, and calculating the popularity coefficient of each teaching course in the education platform
Figure BDA0003049055000000133
ξiExpressed as the popularity coefficient of the ith teaching course in the education platform to students, alpha, beta and chi are respectively expressed as the weight influence coefficients of the proportion of the number of purchasers of the course, the proportion of the number of sign-ins of the students and the proportion of the length of the students in class, and kiStudent user purchase proportion, gamma, expressed as the ith teaching course in the education platformiajExpressed as the ratio of the number of the student users signing in the jth class in the ith teaching course in the education platform,
Figure BDA0003049055000000134
expressed as the class time of the f-th student user in the jth class time in the ith teaching class in the education platform, Ti' is expressed as the standard duration of the ith teaching course in the education platform, yiajThe number of students who represent to the ith teaching course in the education platform in the jth class hour sign-in, m represents the total class hour of ith teaching course in the education platform, each teaching course receives student's popularity coefficient to send to display terminal in the education platform, thereby effectively avoid the student user to appear the phenomenon of purchasing with the wind, purchase the reference data that the teaching course provided guidance for later stage student user, make later stage student user go up the class hour can improve the interest in learning, increase student user's learning efficiency, satisfy student user's education student demand.
The check-in times acquisition module is used for acquiring the check-in times of each teaching course purchased by each student in the education platform, counting the check-in times of each teaching course purchased by each student in the education platform, and forming a check-in times set Z of each teaching course purchased by each student in the education platformpA(zpa1,zpa2,...,zpav,...,zpal) L is less than or equal to n, wherein p is 1,2General assembly，zpavThe number of attendance check-in times for the pth student user to purchase the vth teaching course in the education platform is represented, and the number of attendance check-in times for the student users to purchase the teaching courses in the education platform is sent to the attendance rate analysis module.
The class attendance rate analysis module is used for receiving the class attendance time set of each student user purchasing each teaching course in the education platform sent by the attendance time acquisition module, and calculating the class attendance rate of each student user purchasing each teaching course in the education platform
Figure BDA0003049055000000141
λpavRepresenting the class rate, z, for the p-th student user in the education platform to purchase the v-th teaching coursepavThe number of times of signing in a class for a pth student user to purchase a vth teaching course in the education platform is represented, u represents the total class number of the vth teaching course in the education platform, the class-giving rate of each student user purchasing each teaching course in the education platform is sent to the analysis server, and reliable reference data are provided for calculating the learning interest coefficient of each student user to each purchased teaching course in a later stage.
The learning data statistics module is used for counting the learning data of each student user in each purchased teaching course in the education platform, respectively counting the learning duration and the test score of each student user in each purchased teaching course in the education platform, and forming a learning duration set of each student user in each purchased teaching course in the education platform
Figure BDA0003049055000000151
Figure BDA0003049055000000152
The learning duration of the s-th class hour in the purchased v-th teaching course of the p-th student user in the education platform is represented, and a test score set of each class hour in each purchased teaching course of each student user in the education platform is formed at the same time
Figure BDA0003049055000000153
Figure BDA0003049055000000154
Expressed as the nth education that the p student user in the education platform is purchasingAnd the test scores of the s-th class time in the learning course send the learning time length set and the test score set of each class time in each teaching course purchased by each student user in the education platform to the learning data analysis module.
The learning data analysis module is used for receiving a learning time length set and a test score set of each student user in each class time in each purchased teaching course in the education platform sent by the learning data statistical module, respectively calculating an average learning time length and an average test score for each student user in the education platform to purchase each teaching course, wherein an average learning time length calculation formula for each student user in the education platform to purchase each teaching course is
Figure BDA0003049055000000155
Figure BDA0003049055000000156
Representing the average learning time for the p-th student user in the education platform to purchase the v-th teaching course,
Figure BDA0003049055000000157
the learning duration is expressed as the learning duration of the s class time of the p-th student user in the purchased v-th teaching course in the education platform, and u is expressed as the total class time of the v-th teaching course in the education platform; the calculation formula of the average test score of each teaching course purchased by each student user in the education platform is
Figure BDA0003049055000000158
Figure BDA0003049055000000159
Expressed as the average test score for the p-th student user in the educational platform to purchase the v-th teaching course,
Figure BDA00030490550000001510
expressed as the test score of the pth student user in the purchased pth teaching course in the education platform, u is expressed as the total class number of the pth teaching course in the education platform, and the test score of the pth student user in the education platform in the purchased pth teaching course is expressed as the total class number of the pth teaching course in the education platformAnd sending the average learning duration and the average test score of each teaching course purchased by each student user to an analysis server, and providing reliable reference data for calculating the learning interest coefficient of each student user for each purchased teaching course in the later period.
The analysis server is used for receiving the class rate of each teaching course purchased by each student in the education platform sent by the class rate analysis module, receiving the average learning duration and the average test score of each teaching course purchased by each student in the education platform sent by the learning data analysis module, extracting the learning interest influence proportional coefficient corresponding to the learning duration and the testing score in the class stored in the storage database and the standard qualified testing score of the teaching courses in the education platform, and calculating the learning interest coefficient of each student in the education platform to each purchased teaching course
Figure BDA0003049055000000161
ψpavExpressed as the learning interest coefficient, lambda, of the p-th student user in the education platform on the purchased v-th teaching coursepavExpressed as the class rate of the pth student user purchasing the pth teaching course in the education platform, mu and eta are respectively expressed as the learning interest degree influence proportional coefficients corresponding to the class time learning duration and the class time testing score,
Figure BDA0003049055000000162
expressed as the average learning duration, T, for the p-th student user to purchase the v-th teaching course in the education platformv' expressed as a standard length of time for the v-th teaching session in the educational platform,
Figure BDA0003049055000000163
expressed as the average test score, W, for the p-th student user purchasing the v-th teaching course in the educational platformSign boardExpressed as standard qualified test score of the teaching courses in the education platform, thereby comprehensively analyzing the learning interest of student users to the purchased teaching courses, improving the accuracy and reliability of the analysis data, and enabling the student users to purchase the teaching courses in the education platformThe learning interest degree coefficient is sent to the display terminal.
The display terminal is used for receiving the popularity coefficient of each teaching course in the education platform sent by the analysis server and the learning interest coefficient of each teaching course purchased by each student user in the education platform, and displaying the popularity coefficient and the learning interest coefficient, so that the learning effect of the student users can be fed back visually, the education platform can adjust the teaching courses in a targeted manner in time, and the management level of the student users of the education platform is improved.
The storage database is used for storing the number X of the student users successfully registered in the education platformGeneral assemblyAnd standard qualification test score W for teaching courses in an educational platformSign boardAnd meanwhile, the standard time length of each teaching course in the education platform is stored, the weight influence coefficients of the course purchasing number ratio, the student attendance number ratio and the student class time length ratio are stored and are respectively marked as alpha, beta and x, and the learning interest degree influence proportion coefficients corresponding to the class time learning time length and the class time test score are stored and are respectively marked as mu and eta.
In a second aspect, the present invention also provides an apparatus comprising: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the server; the processor retrieves the computer program from the non-volatile memory through the network interface when running, and runs the computer program through the memory to execute the method of the present invention.
In a third aspect, the present invention further provides a computer storage medium, where a computer program is burned in the computer storage medium, and the computer program implements the method of the present invention when running in a memory of a server.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.

Claims (10)

1. An intelligent management method for student users on an education platform is characterized by comprising the following steps: comprises the following steps;
s1, acquiring the number of the student users purchasing in each teaching course in the education platform, and analyzing the proportion of the number of the student users purchasing in each teaching course in the education platform;
s2, counting the number of attendance of student users in each class in each teaching course in the education platform, and analyzing the ratio of the number of attendance of the student users in each class in each teaching course;
s3, recording the class time of each student user in each class time in each teaching course, comprehensively calculating the popularity coefficient of each teaching course in the education platform to students, and displaying;
s4, counting the attendance check-in times of each student user in the education platform after purchasing each teaching course, and analyzing the attendance rate of each student user in the education platform after purchasing each teaching course;
s5, acquiring the learning duration and the test score of each class time of each student user in each purchased teaching course, and analyzing the average learning duration and the average test score of each student user after purchasing each teaching course;
s6, calculating the learning interest coefficient of each student user in the comprehensive education platform for each purchased teaching course, and displaying the learning interest coefficient;
the intelligent management method for the student users of the education platform uses an intelligent management system for the student users of the education platform, and comprises a teaching course numbering module, a purchasing number counting module, a purchasing number analyzing module, a sign-in number counting module, a number ratio analyzing module, a class time acquiring module, a sign-in number acquiring module, a class rate analyzing module, a learning data counting module, a learning data analyzing module, an analyzing server, a display terminal and a storage database;
the system comprises a teaching course number counting module, a purchasing number analyzing module and a number ratio analyzing module, wherein the purchasing number counting module is respectively connected with a teaching course number counting module, the purchasing number analyzing module and the number ratio analyzing module;
the teaching course numbering module is used for numbering each teaching course needing to be purchased in the education platform, numbering each teaching course in sequence according to a set sequence, and forming a numbering set A (a) of each teaching course in the education platform1,a2,...,ai,...,an)，aiThe number of the ith teaching course in the education platform is represented, and the number set of each teaching course in the education platform is sent to the purchasing number counting module;
the purchasing number counting module is used for receiving the number set of each teaching course in the education platform sent by the teaching course number module, respectively acquiring the purchasing number of student users of each teaching course in the education platform, and forming a purchasing number set X (X) of student users of each teaching course in the education platform1,x2,...,xi,...,xn)，xiThe number of the student users who buy the ith teaching course in the education platform is represented, and the number of the student users who buy the ith teaching course in the education platform is respectively sent to a purchasing number analysis module and a number ratio analysis module;
the purchasing number analysis module is used for receiving the student user purchasing number set of each teaching course in the education platform sent by the purchasing number counting module, extracting the number of the successfully registered student users in the education platform stored in the storage database, calculating the purchasing number ratio of the student users of each teaching course in the education platform, and sending the purchasing number ratio of the student users of each teaching course in the education platform to the analysis server;
the attendance number counting module is used for counting attendance numbers of student users in each class time in each teaching course in the education platform, respectively counting the attendance numbers of the student users in each class time in each teaching course in the education platform, and forming attendance numbers of the student users in each class time in each teaching course in the education platformNumber set YiA(yia1,yia2,...,yiaj,...,yiam) Wherein y isiaj≤xi，yiajThe number ratio analysis module is used for sending the number of the student users signing in to the ith class in the education platform and the number of the student users signing in to each class in each teaching class in the education platform;
the system comprises a number ratio analysis module, a number counting module, an analysis server and a user number counting module, wherein the number ratio analysis module is used for receiving a student user purchasing number set of each teaching course in an education platform sent by the purchasing number counting module, receiving a student user attendance number set of each teaching course in the education platform sent by the attendance number counting module, calculating a student user attendance number ratio of each teaching course in the education platform, and sending the student user attendance number ratio of each teaching course in the education platform to the analysis server;
the on-class time length acquisition module is used for acquiring the on-class time length of each student user in each class time in each teaching course in the education platform, recording the on-class time-to-card time and the off-class time-to-card time of each student user in each class time in each teaching course in the education platform respectively, acquiring the on-class time length of each student user in each class time in each teaching course in the education platform, and forming a set of on-class time length of each student user in each class time in each teaching course in the education platform
Figure FDA0003049054990000031
Figure FDA0003049054990000032
The class-taking time length of the f-th student user in the jth class time in the ith teaching class in the education platform is represented, and the class-taking time length of each student user in each class time in each teaching class in the education platform is sent to the analysis server in a set manner;
the analysis server is used for receiving the purchasing number ratio of student users of each teaching course in the education platform sent by the purchasing number analysis module, receiving the attendance number ratio of the student users in each class in each teaching course in the education platform generated by the purchasing number ratio analysis module, receiving the class time length collection of the student users in each class in each teaching course in the education platform sent by the class time length acquisition module, extracting the weight influence coefficients of the purchasing number ratio of the courses, the attendance number ratio of the students, the class time length ratio of the students and the standard time length of each teaching course in the education platform stored in the storage database, calculating the popularity coefficient of each teaching course in the education platform to the students, and sending the popularity coefficient of each teaching course in the education platform to the display terminal;
the check-in times acquisition module is used for acquiring the check-in times of each teaching course purchased by each student in the education platform, counting the check-in times of each teaching course purchased by each student in the education platform, and forming a check-in times set Z of each teaching course purchased by each student in the education platformpA(zpa1,zpa2,...,zpav,...,zpal) L is less than or equal to n, wherein p is 1,2General assembly，zpavThe number of attendance check-in times for the pth student user to purchase the vth teaching course in the education platform is represented, and the number of attendance check-in times for the student users to purchase the teaching courses in the education platform is sent to the attendance rate analysis module;
the system comprises a attendance rate analysis module, an attendance rate acquisition module, an analysis server and a learning module, wherein the attendance rate analysis module is used for receiving a class attendance time set sent by the attendance time acquisition module, wherein each student user in the education platform purchases each teaching course;
the learning data statistics module is used for counting the learning data of each student user in each purchased teaching course in the education platform, respectively counting the learning duration and the test score of each student user in each purchased teaching course in the education platform, and forming a learning duration set of each student user in each purchased teaching course in the education platform
Figure FDA0003049054990000041
Figure FDA0003049054990000042
The learning duration of the s-th class hour in the purchased v-th teaching course of the p-th student user in the education platform is represented, and a test score set of each class hour in each purchased teaching course of each student user in the education platform is formed at the same time
Figure FDA0003049054990000043
Figure FDA0003049054990000044
The test score of the pth student user in the education platform in the purchased nth teaching course is expressed, and the learning time length set and the test score set of each class time of each student user in each purchased teaching course in the education platform are sent to the learning data analysis module;
the learning data analysis module is used for receiving a learning time length set and a test score set of each class time of each student user in each purchased teaching course in the education platform sent by the learning data statistics module, respectively calculating the average learning time length and the average test score of each teaching course purchased by each student user in the education platform, and sending the average learning time length and the average test score of each teaching course purchased by each student user in the education platform to the analysis server;
the analysis server is used for receiving the class rate of each teaching course purchased by each student user in the education platform sent by the class rate analysis module, receiving the average learning time length and the average test score of each teaching course purchased by each student user in the education platform sent by the learning data analysis module, extracting the learning interest degree influence proportional coefficient corresponding to the learning time length and the learning test score in the storage database and the standard qualified test score of the teaching courses in the education platform, calculating the learning interest degree coefficient of each student user in the education platform for each purchased teaching course, and sending the learning interest degree coefficient of each student user in the education platform for each purchased teaching course to the display terminal;
the display terminal is used for receiving and displaying the popularity coefficient of each teaching course in the education platform sent by the analysis server, and the learning interest coefficient of each student user in the education platform for each purchased teaching course;
the storage database is used for storing the number X of the student users successfully registered in the education platformGeneral assemblyAnd standard qualification test score W for teaching courses in an educational platformSign boardAnd meanwhile, the standard time length of each teaching course in the education platform is stored, the weight influence coefficients of the course purchasing number ratio, the student attendance number ratio and the student class time length ratio are stored and are respectively marked as alpha, beta and x, and the learning interest degree influence proportion coefficients corresponding to the class time learning time length and the class time test score are stored and are respectively marked as mu and eta.
2. The intelligent management method for student users of an education platform according to claim 1, wherein: the calculation formula of the purchasing number ratio of the student users of each teaching course in the education platform is
Figure FDA0003049054990000051
kiThe number of purchases of student users represented as the ith teaching course in the education platform, xiNumber of student user purchases, X, represented as the ith teaching course in the education platformGeneral assemblyExpressed as the number of student users successfully registered in the educational platform.
3. The intelligent management method for student users of an education platform according to claim 1, wherein: the calculation formula of the ratio of the number of the student users signing in each class in each teaching course in the education platform is
Figure FDA0003049054990000052
γiajExpressed as the student user attendance at jth class time in ith teaching course in the education platformRatio of number of people, yiajExpressed as the number of the student users signing in at jth class time in ith teaching course in the education platform, xiRepresenting the number of student users purchasing the ith teaching course in the education platform.
4. The intelligent management method for student users of an education platform according to claim 1, wherein: the calculation formula of the popularity coefficient of each teaching course in the education platform by students is
Figure FDA0003049054990000061
ξiExpressed as the popularity coefficient of the ith teaching course in the education platform to students, alpha, beta and chi are respectively expressed as the weight influence coefficients of the proportion of the number of purchasers of the course, the proportion of the number of sign-ins of the students and the proportion of the length of the students in class, and kiStudent user purchase proportion, gamma, expressed as the ith teaching course in the education platformiajExpressed as the ratio of the number of the student users signing in the jth class in the ith teaching course in the education platform,
Figure FDA0003049054990000062
expressed as the class time of the f-th student user in the jth class time in the ith teaching class in the education platform, Ti' is expressed as the standard duration of the ith teaching course in the education platform, yiajThe number of the student users signing in at jth class time in the ith teaching course in the education platform is represented, and m is the total class number of the ith teaching course in the education platform.
5. The intelligent management method for student users of an education platform according to claim 1, wherein: the calculation formula of the class rate of each student user purchasing each teaching course in the education platform is
Figure FDA0003049054990000063
λpavRepresenting a purchase of a v-th education for a p-th student user in an education platformClass rate of class learning, zpavThe number of attendance check-in times for the pth student user to purchase the vth teaching course in the education platform is represented, and u is represented as the total class number of the vth teaching course in the education platform.
6. The intelligent management method for student users of an education platform according to claim 1, wherein: the average learning time length calculation formula of each teaching course purchased by each student user in the education platform is
Figure FDA0003049054990000064
Figure FDA0003049054990000065
Representing the average learning time for the p-th student user in the education platform to purchase the v-th teaching course,
Figure FDA0003049054990000066
the learning duration of the pth student user in the education platform in the purchased pth teaching course is shown, and u is the total class number of the pth teaching course in the education platform.
7. The intelligent management method for student users of an education platform according to claim 1, wherein: the calculation formula of the average test score of each teaching course purchased by each student user in the education platform is
Figure FDA0003049054990000071
Figure FDA0003049054990000072
Expressed as the average test score for the p-th student user in the educational platform to purchase the v-th teaching course,
Figure FDA0003049054990000073
expressed as the nth student user in the education platform who is purchasingAnd u represents the total class number of the v teaching course in the education platform.
8. The intelligent management method for student users of an education platform according to claim 1, wherein: the calculation formula of the learning interest coefficient of each student user in each purchased teaching course in the education platform is
Figure FDA0003049054990000074
ψpavExpressed as the learning interest coefficient, lambda, of the p-th student user in the education platform on the purchased v-th teaching coursepavExpressed as the class rate of the pth student user purchasing the pth teaching course in the education platform, mu and eta are respectively expressed as the learning interest degree influence proportional coefficients corresponding to the class time learning duration and the class time testing score,
Figure FDA0003049054990000075
representing the average learning time length, T 'for the p-th student user to purchase the v-th teaching course in the education platform'vExpressed as the standard length of time for the v-th lesson in the educational platform,
Figure FDA0003049054990000076
expressed as the average test score, W, for the p-th student user purchasing the v-th teaching course in the educational platformSign boardExpressed as a standard qualification test score for the teaching lesson in the educational platform.
9. An apparatus, characterized by: the method comprises the following steps: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the server; the processor, when running, retrieves a computer program from the non-volatile memory via the network interface and runs the computer program via the memory to perform the method of any of claims 1-8.
10. A storage medium for use in a computer, comprising: the computer storage medium is burned with a computer program, which when run in the memory of the server implements the method of any of the above claims 1-8.
CN202110480513.7A 2021-04-30 2021-04-30 Education platform student user intelligent management method, system, equipment and computer storage medium Withdrawn CN113139793A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110480513.7A CN113139793A (en) 2021-04-30 2021-04-30 Education platform student user intelligent management method, system, equipment and computer storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110480513.7A CN113139793A (en) 2021-04-30 2021-04-30 Education platform student user intelligent management method, system, equipment and computer storage medium

Publications (1)

Publication Number Publication Date
CN113139793A true CN113139793A (en) 2021-07-20

Family

ID=76816768

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110480513.7A Withdrawn CN113139793A (en) 2021-04-30 2021-04-30 Education platform student user intelligent management method, system, equipment and computer storage medium

Country Status (1)

Country Link
CN (1) CN113139793A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114968029A (en) * 2022-06-09 2022-08-30 合众新能源汽车有限公司 Popular menu presenting method and device based on crowdsourcing and computer readable medium
CN116308913A (en) * 2023-02-27 2023-06-23 北京思想天下教育科技有限公司 Intelligent course management system based on cloud platform

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114968029A (en) * 2022-06-09 2022-08-30 合众新能源汽车有限公司 Popular menu presenting method and device based on crowdsourcing and computer readable medium
CN116308913A (en) * 2023-02-27 2023-06-23 北京思想天下教育科技有限公司 Intelligent course management system based on cloud platform
CN116308913B (en) * 2023-02-27 2023-09-08 北京思想天下教育科技有限公司 Intelligent course management system based on cloud platform

Similar Documents

Publication Publication Date Title
Bock et al. The next stage in educational assessment
O'donoghue Research methods for sports performance analysis
Case et al. The role of central conceptual structures in the development of children's thought
Phillips How to think about statistics
Bradley et al. The effect of competition on the efficiency of secondary schools in England
Crocker Teaching for the test: Validity, fairness, and moral action
Jayal et al. Sports analytics: Analysis, visualisation and decision making in sports performance
CN108171414A (en) Evaluation System for Teaching Quality
CN113139793A (en) Education platform student user intelligent management method, system, equipment and computer storage medium
US20090327053A1 (en) Method, system, signal and program product for measuring educational efficiency and effectiveness
CN109754349B (en) Intelligent teacher-student matching system for online education
CN107169903A (en) Learning behavior evaluation method and system based on college teaching big data
Ardi et al. Controversy in determining criteria and categories in summarizing and exploring the research data; Analysis of assessment procedures in the social science research
Stylianou et al. Teacher fidelity to a physical education curricular model and physical activity outcomes
CN1632782A (en) On-line achievement assessment method and system
Dorn et al. Becoming experts: Measuring attitude development in introductory computer science
CN114119304A (en) User management method, system and computer storage medium for online education platform
Nakayama et al. Using note taking instructions to reform student's note taking activities and improve learning performance in a blended learning course
CN108596461B (en) Intelligent system and method for training effect evaluation
Goos Numeracy across the curriculum as a stimulus for interdisciplinary inquiry in elementary school mathematics
Puhek Lower secondary school students' attitudes toward computer-supported laboratory exercises
CN113065986B (en) Educational resource generation method based on intelligent interaction
Ginanjar et al. Validation of the sport education scale for higher education students in the Indonesian version
Arifin et al. Modelling Usage M-Learning using Mamdani Fuzzy Logic System in along Covid-19 Pandemic at ITS-Indonesia
Solberg Modeling random processes for engineers and managers

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
WW01 Invention patent application withdrawn after publication

Application publication date: 20210720

WW01 Invention patent application withdrawn after publication