CN114021842A - Remote education data acquisition and analysis method, equipment and computer storage medium - Google Patents

Remote education data acquisition and analysis method, equipment and computer storage medium Download PDF

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CN114021842A
CN114021842A CN202111365038.5A CN202111365038A CN114021842A CN 114021842 A CN114021842 A CN 114021842A CN 202111365038 A CN202111365038 A CN 202111365038A CN 114021842 A CN114021842 A CN 114021842A
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唐昶
魏军
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Shenzhen Nuoda Education Co ltd
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Abstract

The invention discloses a method and equipment for collecting and analyzing remote education data and a computer storage medium. The remote education data acquisition and analysis method comprises the following steps: calling basic information corresponding to each registered user of the target remote education platform in a period to be acquired from a background of the target remote education platform; collecting information of each audition course of the target remote education platform; collecting information of each registered user watching and listening the trial course of the target remote education platform in the period to be collected; acquiring entry information corresponding to each entry user of the target remote education platform in the period to be acquired; analyzing the registration information of the target remote education platform user; the invention effectively solves the problem that the operation of the remote teaching platform cannot be optimized by the existing remote education data acquisition and analysis mode, and further the operation efficiency of the remote education platform cannot be effectively improved, and realizes the detailed classification of the entry students in the remote education platform.

Description

Remote education data acquisition and analysis method, equipment and computer storage medium
Technical Field
The invention belongs to the technical field of remote education management, and relates to a remote education data acquisition and analysis method, equipment and a computer storage medium.
Background
Along with the rapid development of internet technology and information technology, education industry modes also become diversified gradually, education also becomes an industry very relevant to big data, especially under the current situation of great competitive pressure, many students or staff are favored to promote oneself with the mode of distance education mostly, in order to optimize distance education, need carry out teaching data acquisition and analysis to the distance education in-process.
Currently, the acquisition and analysis of remote education and teaching data mainly focus on the learning state data, learning efficiency and the like of students in the learning process, the acquisition and analysis of corresponding registration data before the students begin class are not carried out, therefore, the existing remote education teaching data acquisition and analysis mode has certain disadvantages, on one hand, the existing remote education data acquisition and analysis mode can not realize the optimization of the remote teaching platform, further, the operation efficiency of the remote education platform cannot be effectively improved, on one hand, the detailed classification of the entry students in the remote education platform cannot be realized by the existing remote education data acquisition and analysis mode, and then can't improve the accurate nature of remote education platform to the target student location, on the other hand, current remote education data acquisition and analysis mode can't realize presetting in time adjustment and the modification of listening the course to the remote education platform.
Disclosure of Invention
In view of the above, to solve the problems in the background art, a method, a device and a computer storage medium for collecting and analyzing remote education data for operation of a remote education platform are provided, which provide a reliable direction and information basis for operation optimization of the remote education platform;
the purpose of the invention can be realized by the following technical scheme:
the invention provides a remote education data acquisition and analysis method in a first aspect, which comprises the following steps:
step 1, collecting basic information of a user: according to basic information corresponding to each user registration of the target remote education platform in the period to be acquired, basic information corresponding to each registered user of the target remote education platform in the period to be acquired is called from a background of the target remote education platform;
step 2, collecting information of the platform audition course: calling the preset trial listening course number, the type corresponding to each preset trial listening course and the total playing time length corresponding to each preset trial listening course of the target remote education platform in the period to be acquired from the target remote education platform in the period to be acquired, numbering the preset trial listening courses of the target remote education platform in the period to be acquired according to a preset sequence, and sequentially marking the preset trial listening courses as 1,2, 1.m.m, wherein the value of m is an integer;
step 3, collecting the information of the watched courses of the user: collecting information of each registered user watching and listening the trial course of the target remote education platform in the period to be collected;
step 4, user registration information acquisition: calling the number of the registration users corresponding to the period to be acquired from the target remote education platform, and extracting registration information corresponding to each registration user;
step 5, analyzing the registration information of the target remote education platform user: analyzing the basic information corresponding to each entry user according to the number of entry users corresponding to the target remote education platform in a period to be acquired and the basic information corresponding to each entry user;
and 6, sending an analysis result: and sending the user registration information analysis result of the target remote education platform in the period to be acquired to an operation manager corresponding to the target remote education platform.
In the method, the user basic information acquisition process is as follows:
calling the number of registered users corresponding to a period to be acquired from a target remote education platform, numbering the registered users corresponding to the target remote education platform in the period to be acquired according to a preset sequence, and sequentially marking the registered users as 1,2, i.e. n, wherein the value of n is an integer;
when each registered user of the target remote education platform fills in the registration information in the period to be collected, the registration information corresponding to each registered user is collected, and the registration information corresponding to each registered user is recorded as basic information, wherein the basic information of the registered user comprises the name, age, sex, area and contact information of the registered user.
In the above method, the collecting of the information of the user watching the audition course includes collecting of time length information of the user watching the audition course and collecting of questionnaire information of the user watching the audition course, and the specific collecting process is as follows:
calling the number of registered users corresponding to the target remote education platform watching audition course and the number corresponding to each registered user in the period to be acquired, recording each registered user watching the course as a course watching user, and recording a user not watching the audition course as a non-course watching user;
calling the number of the audition courses watched by each course watching user of the target remote education platform and the number corresponding to each watching audition course in the period to be acquired from the background of the target remote education platform;
collecting viewing time length information of each trial listening course corresponding to each course viewing user of the target remote education platform according to the number of viewing trial listening courses corresponding to each course viewing user in the period to be collected, wherein the viewing time length information comprises a viewing mode corresponding to each trial listening course, the actual total viewing time length of each trial listening course and continuous viewing information corresponding to each trial listening course;
when the course watching users watch the audition courses, displaying preset questionnaire information, carrying out user supplementary information acquisition, and acquiring the number of the course watching users who fill in the questionnaire and questionnaire filling information corresponding to each course watching user who fills in the questionnaire.
In the method, the user registration information acquisition process is as follows:
calling the number of the corresponding entry users in the period to be acquired from the background of the target remote education platform, and calling the corresponding numbers of all the entry users;
calling the type corresponding to each entry user according to the number corresponding to each entry user of the target remote education platform in the period to be acquired, wherein the type corresponding to each entry user comprises a course watching user and a non-course watching user;
comparing and screening the types corresponding to the registration users, and screening the number of course watching users and the number of non-course watching users from the registration users;
extracting the corresponding basic information and the corresponding viewing information of each course viewing user according to the corresponding number of each course viewing user;
and extracting the corresponding basic information of each non-course watching user according to the number of each non-course watching user.
In the method, the analysis of the target remote education platform user registration information comprises analysis of conversion rate of the target remote education platform audition courses, analysis of necessity of the target remote education platform audition course setting and analysis of the target remote education platform user.
In the above method, the analysis process of the conversion rate of the audition course of the target remote education platform is as follows:
acquiring the number of course watching users corresponding to the target remote education platform in the period to be acquired;
acquiring the number of corresponding course watching users in the target remote education platform registration users in the period to be acquired;
calculating the audition course conversion rate corresponding to the target remote education platform in the period to be acquired by using a calculation formula
Figure BDA0003360319510000041
ZH represents the trial listening course conversion rate corresponding to the target remote education platform in the period to be acquired, KR represents the number of course watching users corresponding to the target remote education platform registration users in the period to be acquired, and MR represents the number of course watching users corresponding to the target remote education platform in the period to be acquired.
In the above method, the analysis of the necessity of the target remote education platform audition course is used for analyzing the conversion rate corresponding to the target remote education platform audition course in the period to be collected and the information of the audition course watched by the user, and the specific analysis process is as follows:
acquiring the number of registered users and the number of course watching users corresponding to the target remote education platform in the period to be acquired, and calculating the trial listening course watching rate of the target remote education platform in the period to be acquired by using a calculation formula;
calculating a user comprehensive interest influence coefficient corresponding to each course audition course of the target remote education platform in the period to be acquired according to the watching audition course time length information corresponding to each course watching user of the target remote education platform in the period to be acquired;
calculating an interest index influence coefficient corresponding to the target remote education platform audition course watching time length information in the period to be acquired by using a calculation formula;
according to the continuous watching duration corresponding to the continuous watching video segment of each course watching user of each audition course of the target remote education platform in the period to be collected, mutually comparing the continuous watching durations corresponding to the continuous watching video segments of each course watching user of each audition course of the target remote education platform in the period to be collected, and screening out the longest continuous watching duration of each course watching user of each audition course of the target remote education platform in the period to be collected;
acquiring questionnaire filling information corresponding to each course watching user of the target remote education platform in the period to be acquired, acquiring comprehensive satisfaction indexes corresponding to each course watching user, matching and comparing the comprehensive satisfaction indexes corresponding to each course watching user of the target remote education platform in the period to be acquired with satisfaction indexes corresponding to preset satisfaction levels, screening out the number of the course watching users who are satisfied with the trial listening course of the target remote education platform, and calculating the trial listening course watching satisfaction rate of the target remote education platform in the period to be acquired;
and calculating the necessary index of the trial listening course setting of the target remote education platform in the acquisition period to be acquired by using a calculation formula.
In the above method, the analysis of the basic information corresponding to each entry user corresponding to the target remote education platform user in the period to be acquired by the target remote education platform user includes the following specific analysis processes:
acquiring concentrated age groups of the registered users of the target remote education platform in the period to be acquired according to the corresponding ages of the registered users of the target remote education platform in the period to be acquired;
acquiring the corresponding sequence of the target remote education platform entry user areas in the period to be acquired according to the areas corresponding to the entry users of the target education platform in the period to be acquired;
and acquiring the gender ratio of the target remote education platform entry users in the period to be acquired according to the corresponding gender of each entry user of the target remote education platform.
A second aspect of the invention 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.
A third aspect of the present invention provides a computer storage medium, where a computer program is burned into the computer storage medium, and when the computer program runs in a memory of a server, the method of the present invention is implemented.
The invention has the beneficial effects that:
(1) according to the remote education data acquisition and analysis method provided by the invention, the basic information corresponding to each registered user of the target remote education platform in the period to be acquired, the watching trial listening course information and the registration information corresponding to the registered user are acquired and analyzed, so that the problems that the operation of the remote teaching platform cannot be optimized and the operation efficiency of the remote education platform cannot be effectively improved in the conventional remote education data acquisition and analysis mode are effectively solved, the detailed classification of the registration students in the remote education platform is realized, the positioning accuracy of the remote education platform on the target student is greatly improved, and the timeliness and rationality of the adjustment and modification of the preset trial listening course of the remote education platform are also effectively improved.
(2) According to the method and the system, the basic information of the region, the gender and the like corresponding to each registered user of the target remote education platform in the period to be acquired is acquired, the pertinence and the targetability of subsequent enrollment of the target remote education platform are greatly improved, the enrollment efficiency of the target remote education platform can be effectively improved, and meanwhile, the convenience of information analysis of subsequent enrollment users is effectively improved through the acquired basic information corresponding to each registered user.
(3) According to the invention, the information of the watching audition courses corresponding to each registered user of the target remote education platform in the period to be acquired is acquired, so that the reasonability and the reference of the necessity analysis result set for each audition course of the target remote education platform in the period to be acquired are greatly improved, a powerful data basis is provided for the optimization of the audition courses by the target remote education platform, and meanwhile, a reliable optimization and adjustment direction can be provided for the target remote education platform to the preset audition courses to a certain extent.
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 diagram of the steps of the method of the present invention.
Detailed Description
While the foregoing is directed to embodiments of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow.
Referring to fig. 1, a remote education data collecting and analyzing method includes the steps of:
step 1, collecting basic information of a user: according to basic information corresponding to each user registration of the target remote education platform in the period to be acquired, basic information corresponding to each registered user of the target remote education platform in the period to be acquired is called from a background of the target remote education platform;
specifically, the user basic information acquisition process is as follows:
calling the number of registered users corresponding to a period to be acquired from a target remote education platform, numbering the registered users corresponding to the target remote education platform in the period to be acquired according to a preset sequence, and sequentially marking the registered users as 1,2, i.e. n, wherein the value of n is an integer;
when each registered user of the target remote education platform fills in the registration information in the period to be collected, the registration information corresponding to each registered user is collected, and the registration information corresponding to each registered user is recorded as basic information, wherein the basic information of the registered user comprises the name, age, sex, area and contact information of the registered user.
It should be noted that the area where the registered user is located is the current area where the registered user is located, and the contact manner includes, but is not limited to, a mobile phone number, a mailbox account, a social account, and the like.
According to the embodiment of the invention, through collecting the basic information of the region, the gender and the like corresponding to each registered user of the target remote education platform in the period to be collected, the pertinence and the targetness of subsequent enrollment of the target remote education platform are greatly improved, the enrollment efficiency of the target remote education platform can be effectively improved, and meanwhile, through the collected basic information corresponding to each registered user, the convenience of information analysis of subsequent enrollment users is effectively improved.
Step 2, collecting information of the platform audition course: calling the preset trial listening course number, the type corresponding to each preset trial listening course and the total playing time length corresponding to each preset trial listening course of the target remote education platform in the period to be acquired from the target remote education platform in the period to be acquired, numbering the preset trial listening courses of the target remote education platform in the period to be acquired according to a preset sequence, and sequentially marking the preset trial listening courses as 1,2, 1.m.m, wherein the value of m is an integer;
step 3, collecting the information of the watched courses of the user: collecting information of each registered user watching and listening the trial course of the target remote education platform in the period to be collected;
specifically, the information collection of the user watching the audition course comprises the information collection of the time length of the user watching the audition course and the information collection of the questionnaire of the user watching the audition course, and the specific collection process is as follows:
a1, calling the number of registered users corresponding to the trial listening course watched by the target remote education platform and the number corresponding to each registered user in the period to be acquired, recording each registered user watching the course as a course watching user, and recording a user not watching the trial listening course as a non-course watching user;
a2, calling the number of the audition courses watched by each course watching user of the target remote education platform and the number corresponding to each watching audition course in the period to be acquired from the background of the target remote education platform;
a3, collecting the viewing time length information of each trial listening course corresponding to each course viewing user according to the number of viewing trial listening courses corresponding to each course viewing user of the target remote education platform in the period to be collected, wherein the viewing time length information comprises a viewing mode corresponding to each trial listening course, the actual total viewing time length of each trial listening course and continuous viewing information corresponding to each trial listening course;
it should be noted that the trial lesson viewing mode is a trial lesson playing speed mode and includes a half-speed mode, a previous speed mode and a double speed mode, wherein in a specific embodiment, the half-speed mode is 0.5 times of speed, the previous speed mode is 1 times of speed, and the double speed mode includes 1.25 times of speed, 1.5 times of speed, 2 times of speed, and the like.
The audition course continuous watching information comprises the number of audition course continuous watching segments and continuous watching duration corresponding to each continuous watching video segment;
in a specific embodiment, the course continuous viewing video segment number and continuous viewing duration acquisition process is as follows: when a user clicks a trial listening course, recording the initial watching time point of the user, tracking the watching time length of the user, when a user carries out fast forward operation and other operations at a certain time point, acquiring a user operation time point and a user operation stop time point, recording the interval time between the user starting viewing time point and the user operation time point as continuous viewing time, recording the course video corresponding to the user starting viewing time point and the user operation time point as continuous viewing video segments, and the time point when the user stops operating is taken as the starting time point corresponding to the next continuous watching video segment, when the user carries out the operation again, the continuous watching duration corresponding to each continuous watching video of the user is obtained according to the mode, further, the number of the continuously watched video segments corresponding to each watching and listening trial course and the continuously watching duration corresponding to each continuously watched video segment of each course watching user are obtained.
And A4, when the course watching users watch the audition courses, displaying preset questionnaire information, carrying out user supplement information acquisition, and acquiring the number of the course watching users who fill in the questionnaire and questionnaire filling information corresponding to each course watching user who fills in the questionnaire.
The questionnaire information comprises the quantity of questionnaire questions, question contents corresponding to the questionnaire questions, the quantity of preset options, contents corresponding to the preset options of the questionnaire questions and index values corresponding to the preset options of the questionnaire questions.
The questionnaire filling information comprises option contents corresponding to all questions corresponding to the questionnaire course watching user and index values corresponding to the selected options.
The questionnaire information is collected only once, namely after the user completes the filling of the questionnaire, the questionnaire content does not pop up.
In a specific embodiment, the questionnaire questions include satisfaction of the target remote education platform, teaching content satisfaction of the trial listening course, and satisfaction of the teaching mode of the trial listening course, and the preset option content includes three options of being very satisfied, and not satisfied.
According to the embodiment of the invention, the information of the watching audition courses corresponding to each registered user of the target remote education platform in the period to be acquired is acquired, so that the reasonability and the reference of the necessity analysis result set for each audition course of the target remote education platform in the period to be acquired are greatly improved, a powerful data basis is provided for the target remote education platform to optimize the audition courses, and meanwhile, a reliable optimization and adjustment direction can be provided for the target remote education platform to the preset audition courses.
Step 4, user registration information acquisition: calling the number of the registration users corresponding to the period to be acquired from the target remote education platform, and extracting registration information corresponding to each registration user;
specifically, the user registration information acquisition process is as follows:
b1, calling the number of the corresponding entry users in the period to be acquired from the background of the target remote education platform, and calling the corresponding numbers of the entry users;
b2, calling the corresponding type of each entry user according to the number corresponding to each entry user of the target remote education platform in the period to be acquired, wherein the corresponding type of the entry user comprises a course watching user and a non-course watching user;
b3, comparing and screening the types corresponding to the entry users, and screening the number of course watching users and the number of non-course watching users from the entry users;
b4, extracting the corresponding basic information and the corresponding viewing information of each course viewing user according to the corresponding number of each course viewing user;
and B5, extracting the basic information corresponding to the non-course watching users according to the number of the non-course watching users.
According to the embodiment of the invention, the information corresponding to each entry user of the target remote education platform in the period to be acquired is acquired, so that an information basis is provided for the subsequent analysis of the conversion rate of the trial listening course of the target remote education platform, and the analysis efficiency of the conversion rate of the trial listening course of the target remote education is effectively improved.
Step 5, analyzing the registration information of the target remote education platform user: analyzing the basic information corresponding to each entry user according to the number of entry users corresponding to the target remote education platform in a period to be acquired and the basic information corresponding to each entry user;
specifically, the target remote education platform user registration information analysis comprises target remote education platform audition course conversion rate analysis, target remote education platform audition course setting necessity analysis and target remote education platform user analysis.
The analysis process of the conversion rate of the audition course of the target remote education platform is as follows:
c1, acquiring the number of course watching users corresponding to the target remote education platform in the period to be acquired;
c2, acquiring the corresponding number of course watching users in the target remote education platform registration users in the period to be acquired;
c3, calculating the trial listening course conversion rate corresponding to the target remote education platform in the period to be collected by using a calculation formula
Figure BDA0003360319510000111
ZH represents the trial listening course conversion rate corresponding to the target remote education platform in the period to be acquired, KR represents the number of course watching users corresponding to the target remote education platform registration users in the period to be acquired, and MR represents the number of course watching users corresponding to the target remote education platform in the period to be acquired.
The target remote education platform audition course necessity analysis is used for analyzing the conversion rate corresponding to the target remote education platform audition course in the period to be collected and the information of the audition course watched by the user, and the specific analysis process is as follows:
d1, acquiring the number of registered users and the number of course watching users corresponding to the target remote education platform in the period to be acquired, and calculating the trial listening course watching rate of the target remote education platform in the period to be acquired by using a calculation formula;
wherein, the target remote education platform audition course viewing rate calculation formula in the period to be collected is
Figure BDA0003360319510000121
GK represents the viewing rate of the trial listening course of the target remote education platform in the period to be acquired, ZR represents the target remote education platform in the period to be acquiredThe educational platform registers the number of users.
D2, calculating a user comprehensive interest influence coefficient corresponding to each course audition course of the target remote education platform in the period to be acquired according to the watching audition course duration information corresponding to each course watching user of the target remote education platform in the period to be acquired;
wherein, the statistical process of the user comprehensive interest influence coefficient corresponding to the target remote education platform audition course in the period to be collected is as follows:
d21, acquiring the number of course watching users, the number of audition courses watched by each course watching user and the number corresponding to each watching audition course corresponding to the target remote education platform in the period to be acquired;
d22, acquiring the type corresponding to the trial listening course watched by each course watching user of the target remote education platform in each period to be acquired according to the number corresponding to the trial listening course watched by each course watching user of the target remote education platform in the period to be acquired;
d23, matching and comparing types corresponding to the audition courses watched by the course watching users of the target remote education platform in the period to be acquired, and screening out the number of the course watching users corresponding to the audition courses of the target remote education platform in the period to be acquired and the audition course watching information corresponding to the course watching users;
d24, according to the information that each trial listening course watching user corresponds to each trial listening course of the target remote education platform in the period to be collected, calling the watching mode corresponding to each trial listening course watching user corresponding to each trial listening course of the target remote education platform in the period to be collected, the actual watching total time length of each trial listening course watching user, the number of the continuous watching course sections of each trial listening course watching user and the continuous watching time length corresponding to the continuous watching video section of each trial listening course watching user;
d25, acquiring the corresponding overall playing time length of each trial listening course viewing mode of each course user of each trial listening course of the target remote education platform in the period to be acquired;
d26, calculating an interest index influence coefficient corresponding to the target remote education platform audition course watching duration information in the period to be acquired by using a calculation formula;
wherein, the calculation process of the satisfaction index corresponding to the viewing duration information of the target remote education platform audition course in the period to be collected is as follows:
d261, acquiring the actual total watching time length of each course watching user of each audition course of the target remote education platform in the period to be acquired, and calculating the user interest index influence coefficient corresponding to the total watching time length of each audition course of the target remote education platform in the period to be acquired by using a calculation formula;
wherein the specific calculation formula is
Figure BDA0003360319510000131
GZT represents the influence coefficient of user interest index corresponding to the total watching duration of the trial listening course of the target remote education platform in the period to be collected, SJTi rIndicating the actual total watching time length, MZT, corresponding to the ith course watching user of the target remote education platform during the period to be collectedi rThe method includes the steps that the total playing duration corresponding to an ith trial-listening course watching user of an ith trial-listening course of a target remote education platform in a period to be collected under a trial-listening course watching mode of the target remote education platform is represented, m represents the trial-listening course number of the target remote education platform in the period to be collected, p represents the course watching user number corresponding to each trial-listening course of the target remote education platform in the period to be collected, i represents a trial-listening course number, i is 1,2, a.
D262, calculating the influence coefficient of the user interest corresponding to the continuous watching time length of the trial listening course of the target remote education platform in the period to be acquired by using a calculation formula;
wherein the specific calculation formula is
Figure BDA0003360319510000141
The LGT represents a user interest influence coefficient, LXT, corresponding to the continuous watching duration of the target remote education platform audition course in the period to be collectedimax rIndicating the longest continuous watching time length corresponding to the nth course watching user of the ith trial listening course of the target remote education platform in the period to be collected, wherein YXT is the continuous watching time length of the preset user.
D263, calculating a user interest influence coefficient corresponding to the number of the continuous watching video segments of the trial listening course of the target remote education platform in the period to be collected by using a calculation formula according to the number of the continuous watching video segments corresponding to the watching users of the trial listening course of the target remote education platform in the period to be collected;
wherein the specific calculation formula is
Figure BDA0003360319510000142
LXDi rRepresenting the LXD (local area network identification) of the user interest influence coefficient corresponding to the number of the video segments continuously watched by the target remote education platform audition course in the period to be acquiredi rAnd representing the quantity of the continuous watching video bands corresponding to the ith course watching user of the target remote education platform in the to-be-collected period, wherein YXD is the quantity of the standard continuous watching video bands corresponding to the preset user.
It should be noted that the interest influence coefficient described in the present invention is a positive influence, e.g., LXTimax rThe larger the LGT.
And D264, calculating the comprehensive interest influence coefficient of the trial listening course of the target remote education platform in the period to be acquired by using a calculation formula, wherein the specific calculation formula is XZP ═ alpha 1 × GZT + alpha 2 × LGT + alpha 3 × SDZ, XZP represents the comprehensive interest influence coefficient of the trial listening course of the target remote education platform in the period to be acquired, and alpha 1, alpha 2 and alpha 3 are preset coefficients.
D3, obtaining questionnaire filling information corresponding to each course watching user of the target remote education platform in the period to be collected, obtaining comprehensive satisfaction indexes corresponding to each course watching user, matching and comparing the comprehensive satisfaction indexes corresponding to each course watching user of the target remote education platform in the period to be collected with preset satisfaction indexes corresponding to each satisfaction grade, screening out the number of the course watching users who are satisfied with the trial listening course of the target remote education platform, and calculating the trial listening course watching satisfaction rate of the target remote education platform in the period to be collected;
in a specific embodiment, the first-level satisfaction level is very satisfactory, the second-level satisfaction level is satisfactory, the third-level satisfaction level is unsatisfactory, and the course watching users corresponding to the satisfactory listening course comprise course watching users corresponding to the first-level satisfaction level and course watching users corresponding to the second-level satisfaction level.
Wherein the specific calculation formula is
Figure BDA0003360319510000151
GKL represents the trial listening course watching satisfaction rate of the target remote education platform, JTK represents the number of course watching users who are satisfied with the trial listening course of the target remote education platform, and YTK represents the number of course watching users who fill in questionnaires of the target remote education platform in the period to be acquired.
D4, calculating the necessary index of the trial listening course of the target remote education platform in the collection period to be collected by using a calculation formula.
Wherein the specific calculation formula is
Figure BDA0003360319510000152
CXZ represents that the target remote education platform audition course has necessary indexes in the acquisition period to be acquired, and beta 1, beta 2, beta 3 and beta 4 are preset coefficients.
The target remote education platform user analysis is used for analyzing the basic information corresponding to each entry user corresponding to the target remote education platform user in the period to be collected, and the specific analysis process is as follows:
e1, acquiring the centralized age groups of the registered users of the target remote education platform in the period to be acquired according to the corresponding ages of the registered users of the target remote education platform in the period to be acquired;
wherein, its acquisition process is: matching and comparing the ages corresponding to the entry users of the target remote education platform with the ages corresponding to the preset learning age groups to obtain the number of the entry users corresponding to the preset learning age groups, and recording the age group with the largest number of the entry users as the centralized age group of the entry users of the target remote education platform;
e2, obtaining the corresponding sequence of the target remote education platform entry user areas in the period to be collected according to the corresponding areas of the entry users corresponding to the target education platform in the period to be collected;
wherein, its acquisition process is: matching and comparing the areas where the registration users of the target remote education platform are located, acquiring the number of the registration users corresponding to each area, sequencing the areas according to the number of the registration users from large to small, and acquiring the corresponding arrangement sequence of the areas of the registration users of the target remote education platform in the period to be acquired;
e3, acquiring the gender ratio of the target remote education platform entry users in the period to be acquired according to the corresponding gender of each entry user of the target remote education platform.
Wherein, its acquisition process is: and matching and comparing the sexes corresponding to the entry users of the target education platform in the period to be acquired, acquiring the number of male entry users and the number of female entry users, making quotient of the number of male entry users and the number of female entry users, and acquiring the gender ratio of the entry users of the target remote education platform in the period to be acquired.
According to the embodiment of the invention, the basic information corresponding to each registered user of the target remote education platform, the watching trial-listening course information corresponding to the registered user and the registration information are analyzed in the period to be acquired, so that the problems that the operation of the remote teaching platform cannot be optimized in the conventional remote education data acquisition and analysis mode, and further the operation efficiency of the remote education platform cannot be effectively improved are effectively solved, the detailed classification of the registration students in the remote education platform is realized, the positioning accuracy of the remote education platform on the target student is greatly improved, and the timeliness and reasonability of the adjustment and modification of the preset trial-listening course of the remote education platform are also effectively improved.
And 6, sending an analysis result: and sending the user registration information analysis result of the target remote education platform in the period to be acquired to an operation manager corresponding to the target remote education platform.
Specifically, the analysis result sending user sends the trial listening course conversion rate of the target remote education platform user, the trial listening course setting necessary index, the centralized age of the registration user, the corresponding sorting of the registration user region and the sex ratio of the registration user to the operation manager corresponding to the target remote education platform in the period to be acquired.
According to the embodiment of the invention, the user registration information analysis result of the target remote education platform in the period to be acquired is sent to the operation management personnel corresponding to the target remote education platform, so that the working efficiency of the operation management personnel of the target remote education platform can be effectively improved, and meanwhile, the working complexity of the operation management personnel of the target remote education platform is effectively reduced.
A second aspect of the invention 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.
A third aspect of the present invention provides a computer storage medium, where a computer program is burned into the computer storage medium, and when the computer program runs in a memory of a server, the method of the present invention is implemented.
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. A remote education data acquisition and analysis method is characterized by comprising the following steps: the method comprises the following steps:
step 1, collecting basic information of a user: according to basic information corresponding to each user registration of the target remote education platform in the period to be acquired, basic information corresponding to each registered user of the target remote education platform in the period to be acquired is called from a background of the target remote education platform;
step 2, collecting information of the platform audition course: calling the preset trial listening course number, the type corresponding to each preset trial listening course and the total playing time length corresponding to each preset trial listening course of the target remote education platform in the period to be acquired from the target remote education platform in the period to be acquired, numbering the preset trial listening courses of the target remote education platform in the period to be acquired according to a preset sequence, and sequentially marking the preset trial listening courses as 1,2, 1.m.m, wherein the value of m is an integer;
step 3, collecting the information of the watched courses of the user: collecting information of each registered user watching and listening the trial course of the target remote education platform in the period to be collected;
step 4, user registration information acquisition: calling the number of the registration users corresponding to the period to be acquired from the target remote education platform, and extracting registration information corresponding to each registration user;
step 5, analyzing the registration information of the target remote education platform user: analyzing the basic information corresponding to each entry user according to the number of entry users corresponding to the target remote education platform in a period to be acquired and the basic information corresponding to each entry user;
and 6, sending an analysis result: and sending the user registration information analysis result of the target remote education platform in the period to be acquired to an operation manager corresponding to the target remote education platform.
2. The method of claim 1, wherein the method comprises: the user basic information acquisition process comprises the following steps:
calling the number of registered users corresponding to a period to be acquired from a target remote education platform, numbering the registered users corresponding to the target remote education platform in the period to be acquired according to a preset sequence, and sequentially marking the registered users as 1,2, i.e. n, wherein the value of n is an integer;
when each registered user of the target remote education platform fills in the registration information in the period to be collected, the registration information corresponding to each registered user is collected, and the registration information corresponding to each registered user is recorded as basic information, wherein the basic information of the registered user comprises the name, age, sex, area and contact information of the registered user.
3. The method of claim 1, wherein the method comprises: the user watches the collection of the audition course information, wherein the collection of the user watching audition course time length information and the collection of the user watching audition course questionnaire information are carried out, and the specific collection process is as follows:
calling the number of registered users corresponding to the target remote education platform watching audition course and the number corresponding to each registered user in the period to be acquired, recording each registered user watching the course as a course watching user, and recording a user not watching the audition course as a non-course watching user;
calling the number of the audition courses watched by each course watching user of the target remote education platform and the number corresponding to each watching audition course in the period to be acquired from the background of the target remote education platform;
collecting viewing time length information of each trial listening course corresponding to each course viewing user of the target remote education platform according to the number of viewing trial listening courses corresponding to each course viewing user in the period to be collected, wherein the viewing time length information comprises a viewing mode corresponding to each trial listening course, the actual total viewing time length of each trial listening course and continuous viewing information corresponding to each trial listening course;
when the course watching users watch the audition courses, displaying preset questionnaire information, carrying out user supplementary information acquisition, and acquiring the number of the course watching users who fill in the questionnaire and questionnaire filling information corresponding to each course watching user who fills in the questionnaire.
4. The method of claim 1, wherein the method comprises: the user registration information acquisition process comprises the following steps:
calling the number of the corresponding entry users in the period to be acquired from the background of the target remote education platform, and calling the corresponding numbers of all the entry users;
calling the type corresponding to each entry user according to the number corresponding to each entry user of the target remote education platform in the period to be acquired, wherein the type corresponding to each entry user comprises a course watching user and a non-course watching user;
comparing and screening the types corresponding to the registration users, and screening the number of course watching users and the number of non-course watching users from the registration users;
extracting the corresponding basic information and the corresponding viewing information of each course viewing user according to the corresponding number of each course viewing user;
and extracting the corresponding basic information of each non-course watching user according to the number of each non-course watching user.
5. The method of claim 1, wherein the method comprises: the target remote education platform user registration information analysis comprises target remote education platform audition course conversion rate analysis, target remote education platform audition course setting necessity analysis and target remote education platform user analysis.
6. The method of claim 1, wherein the method comprises: the analysis process of the conversion rate of the audition course of the target remote education platform is as follows:
acquiring the number of course watching users corresponding to the target remote education platform in the period to be acquired;
acquiring the number of corresponding course watching users in the target remote education platform registration users in the period to be acquired;
calculating the audition course conversion rate corresponding to the target remote education platform in the period to be acquired by using a calculation formula
Figure FDA0003360319500000031
ZH represents the trial listening course conversion rate corresponding to the target remote education platform in the period to be acquired, KR represents the number of course watching users corresponding to the target remote education platform registration users in the period to be acquired, and MR represents the number of course watching users corresponding to the target remote education platform in the period to be acquired.
7. The method of claim 1, wherein the method comprises: the target remote education platform audition course necessity analysis is used for analyzing the conversion rate corresponding to the target remote education platform audition course in the period to be collected and the information of the audition course watched by the user, and the specific analysis process is as follows:
acquiring the number of registered users and the number of course watching users corresponding to the target remote education platform in the period to be acquired, and calculating the trial listening course watching rate of the target remote education platform in the period to be acquired by using a calculation formula;
calculating a user comprehensive interest influence coefficient corresponding to each course audition course of the target remote education platform in the period to be acquired according to the watching audition course time length information corresponding to each course watching user of the target remote education platform in the period to be acquired;
calculating an interest index influence coefficient corresponding to the target remote education platform audition course watching time length information in the period to be acquired by using a calculation formula;
according to the continuous watching duration corresponding to the continuous watching video segment of each course watching user of each audition course of the target remote education platform in the period to be collected, mutually comparing the continuous watching durations corresponding to the continuous watching video segments of each course watching user of each audition course of the target remote education platform in the period to be collected, and screening out the longest continuous watching duration of each course watching user of each audition course of the target remote education platform in the period to be collected;
acquiring questionnaire filling information corresponding to each course watching user of the target remote education platform in the period to be acquired, acquiring comprehensive satisfaction indexes corresponding to each course watching user, matching and comparing the comprehensive satisfaction indexes corresponding to each course watching user of the target remote education platform in the period to be acquired with satisfaction indexes corresponding to preset satisfaction levels, screening out the number of the course watching users who are satisfied with the trial listening course of the target remote education platform, and calculating the trial listening course watching satisfaction rate of the target remote education platform in the period to be acquired;
and calculating the necessary index of the trial listening course setting of the target remote education platform in the acquisition period to be acquired by using a calculation formula.
8. The method of claim 1, wherein the method comprises: the target remote education platform user analysis is used for analyzing the basic information corresponding to each entry user corresponding to the target remote education platform user in the period to be collected, and the specific analysis process is as follows:
acquiring concentrated age groups of the registered users of the target remote education platform in the period to be acquired according to the corresponding ages of the registered users of the target remote education platform in the period to be acquired;
acquiring the corresponding sequence of the target remote education platform entry user areas in the period to be acquired according to the areas corresponding to the entry users of the target education platform in the period to be acquired;
and acquiring the gender ratio of the target remote education platform entry users in the period to be acquired according to the corresponding gender of each entry user of the target remote education 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 computer storage medium, characterized in that: 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.
CN202111365038.5A 2021-11-17 2021-11-17 Remote education data acquisition and analysis method, equipment and computer storage medium Pending CN114021842A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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 (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

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