CN113012506B - Interactive teaching system based on big data - Google Patents
Interactive teaching system based on big data Download PDFInfo
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- CN113012506B CN113012506B CN202110225229.5A CN202110225229A CN113012506B CN 113012506 B CN113012506 B CN 113012506B CN 202110225229 A CN202110225229 A CN 202110225229A CN 113012506 B CN113012506 B CN 113012506B
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/73—Querying
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
Abstract
The invention discloses an interactive teaching system based on big data, which is used for solving the problems that the playing speed can not be reasonably adjusted according to the access information of a user in the playing process of the existing teaching video, the playing speed or fast forwarding still needs to be manually adjusted, and the intelligent degree is low; the system comprises a data acquisition module, a server, an interactive analysis module and a teaching execution module; the method and the device have the advantages that the access duration, the total access times and the teaching mastery value of the user are normalized, the teaching value of the user is obtained by using a formula, the corresponding playing speed is obtained through the teaching value matching, the playing speed of the teaching video is controlled through the teaching execution module, the corresponding selected merchant is selected according to the playing value, the display distribution module controls one television of the selected merchants to be networked and plays the teaching live broadcast video corresponding to the website of the teaching live broadcast video sent by the user, and therefore the online live broadcast learning of the user is facilitated.
Description
Technical Field
The invention relates to the technical field of interactive teaching systems, in particular to an interactive teaching system based on big data.
Background
The electronic video teaching can enhance the teaching efficiency, the 21 st century is a century of scientific rapid development, the traditional books, blackboards and wall maps can completely meet the situation that the explosion of knowledge information is not completely met by oral teaching, the effective knowledge teaching amount in unit time can keep pace with the progress of human beings, the electronic video teaching can integrate pictures, videos, audios and interactions into a whole, the teaching of knowledge is carried out more vividly, and students can master more quickly;
the prior teaching video can not reasonably adjust the playing speed according to the access information of the user in the playing process, still needs manual adjustment of the playing speed or fast forwarding, and has low intelligent degree.
Disclosure of Invention
The invention aims to solve the problems that the playing speed can not be reasonably adjusted according to the access information of a user in the playing process of the existing teaching video, the playing speed or fast forwarding still needs to be manually adjusted, and the intelligent degree is low, and provides an interactive teaching system based on big data.
The purpose of the invention can be realized by the following technical scheme: an interactive teaching system based on big data comprises a data acquisition module, a server, an interactive analysis module and a teaching execution module;
the data acquisition module is used for acquiring access information of the teaching video and sending the access information to the server;
the interactive analysis module is used for acquiring the access information and performing interactive analysis, and the specific analysis steps are as follows:
the method comprises the following steps: marking the access user accessing the teaching video at the current moment as a primary selection user; sending an interaction analysis instruction to a mobile phone terminal of a primary user, and sending a current real-time position and an agreement instruction to an interaction analysis module after the primary user receives the interaction analysis instruction through the mobile phone terminal;
step two: the interaction analysis module marks the primary user who sends the current real-time position and the agreement instruction as a preferred user; calculating the time difference between the access starting time of the preferred user and the current time of the system to obtain the access duration of the preferred user, and marking the access duration as T1; marking the total number of accesses corresponding to the teaching video of the preferred user as T2;
step three: acquiring the playing progress of a teaching video of a preferred user; matching the playing progress of the teaching video with a playing progress database in a server to obtain corresponding random test questions; sending the random test questions to a mobile phone terminal of a preferred user, stopping playing the teaching video, marking the moment of sending the random test questions as question making starting moment by an interactive analysis module, sending answers of the random test questions to the interactive analysis module by the preferred user through the mobile phone terminal, matching the answers sent by the preferred user with standard answers stored in a playing progress database by the interactive analysis module to obtain corresponding correct quantity and marking the correct quantity as T31, marking the moment of sending the answers by the preferred user as finishing moment by the interactive analysis module, and calculating the time difference between the finishing moment and the question making starting moment to obtain question making duration of the preferred user and marking the question making duration as T32; normalizing the correct number and the question making time length and taking the numerical value of the correct number and the question making time length; using a formula
Acquiring a teaching mastery value T3; wherein, b1 and b2 are both preset proportionality coefficients; the BTS is a preset time length corresponding to the number of the random test questions;
step four: normalizing the access duration, the total access times and the teaching mastered value, taking the numerical values, and obtaining a teaching value CS by using a formula CS = T1 × b3+ T2 × b4+ T3 × b 5; wherein b3, b4 and b5 are all preset proportionality coefficients;
step five: setting the playing speed of the teaching video as Ai, i =1,2, … …, n; n is a positive integer; the playing speed Ai corresponds to a teaching range which is respectively (0, a 1), (a 1, a 2), (… …, (An-1, an) and 0 straw a1< … … < An, the higher the playing speed of the teaching video is, when CS ∈ (An-1, an), the playing speed corresponding to a preferred user is An;
step six: the interactive analysis module sends the playing speed An of the preferred user to the teaching execution module;
the teaching execution module receives the playing speed An and then controls the playing speed of the teaching video played by the preferred user at present, so that the playing speed of the teaching video is the same as the corresponding playing speed An; while the total number of interactions by the preferred user is increased once.
Preferably, the access information includes access user data for accessing the teaching video, start time of access, total access times corresponding to the teaching video, and playing progress of the teaching video, and the access user data includes a registration number, registration time, a mobile phone number, a name, and an age of the user.
Preferably, the system further comprises a registration login module; the registration login module is used for submitting registration information for registration through the mobile phone terminal by a user and sending the registration information which is successfully registered to the server for storage, the server receives the registration information of the user and then generates a registration number which is in one-to-one correspondence with the user, and the time when the registration information is received is marked as the registration time of the user; the registration information comprises the name, age and mobile phone number of the user.
Preferably, the system further comprises a personnel analysis module and a display allocation module; the personnel analysis module is used for acquiring the registration time, the total interactive times and the age of the user and analyzing personnel values, and the specific analysis is as follows:
s1: calculating the time difference between the registration time of the user and the current time of the system to obtain the registration time length of the user and marking the registration time length as M1; marking the total number of interaction times and the age of the user as M2 and M3 respectively;
s2: carrying out normalization processing on the registration duration, the total interactive times and the age of the user and taking the numerical values of the registration duration, the total interactive times and the age;
s3: acquiring a user personnel value MZ by using a formula MZ = M1 × d1+ M2 × d2+ M3 × d 3; wherein d1, d2 and d3 are all preset proportionality coefficients;
s4: the personnel analysis module sends the personnel value of the user to a server for storage;
and the display distribution module is used for the user to play the teaching live video online.
Preferably, the online playing of the display allocation module specifically comprises the following steps:
and (4) SS1: a user sends a website and an online instruction of a teaching live broadcast video to a display distribution module through a mobile phone terminal;
and (4) SS2: the display distribution module acquires the personnel value of a user after receiving the website and the online instruction of the teaching live broadcast video; when MZ d4> ZB, SS3 is performed; wherein d4 is a direct broadcast value conversion coefficient; ZB is the total live broadcast value of the user;
and (4) SS3: the display allocation module sends a position acquisition instruction to a mobile phone terminal of a user and acquires the current real-time position of the user; taking the current real-time position of the user as the center of a circle, drawing a circle with a preset radius to obtain a screening range, and marking the television selling merchants with the positions within the screening range as primary merchants;
and (4) SS: calculating the distance difference between the position of the primary selected merchant and the current real-time position of the user to obtain a viewing distance, and marking the viewing distance as G1; acquiring models of all televisions sold by the primary merchant; setting all television models to correspond to a preset model value; matching the models of the televisions sold by the primary merchants with all the television models to obtain corresponding preset model values; summing the preset model values matched by the primary merchants, averaging to obtain a model average value, and marking as G2;
and SS5: carrying out normalization processing on the checking interval and the model mean value of the primary merchant and taking the numerical value of the checking interval and the model mean value; obtaining the on-air value GF of the primary merchant by using a formula GF = (1/G1). Times.d 5+ G2. Times.d 6; wherein d5 and d6 are both preset proportionality coefficients;
and SS6: selecting the primary merchant with the largest broadcasting value as a selected merchant; the display distribution module sends the name of the selected merchant to the mobile phone terminal of the user;
and (7) SS: the method comprises the steps that a user receives the name of a selected merchant and then reaches a position corresponding to the selected merchant, then the user sends a current real-time position and a play starting instruction to a display distribution module through a mobile phone terminal, the display distribution module compares the current real-time position with the position of the selected merchant after receiving the current real-time position and the play starting instruction sent by the user, when the current real-time position and the play starting instruction are matched, the display distribution module controls one television of the selected merchant to be connected with the network and plays a teaching live broadcast video corresponding to a teaching live broadcast video website sent by the user, and meanwhile the moment is marked as a live broadcast teaching starting moment;
and SS8: when a user sends an online closing instruction to the display distribution module through the mobile phone terminal; the display distribution module controls one television of the selected merchants to stop playing, and marks the playing stop time as a live broadcast teaching stop time; calculating the time difference between the live broadcast teaching starting time and the live broadcast teaching stopping time to obtain single live broadcast time length BX1; extracting a numerical value of single live broadcast time length, and obtaining a single live broadcast value DC by using a formula DC = BX1 × d 7; wherein d7 is a preset proportionality coefficient; and summing all single live broadcast values of the user to obtain a live broadcast total value ZB of the user.
Compared with the prior art, the invention has the beneficial effects that:
1. the method comprises the steps that a data acquisition module acquires access information of a teaching video and sends the access information to a server, an interactive analysis module acquires the access information and carries out interactive analysis, normalization processing is carried out on access duration, total access times and a teaching mastery value, the numerical value is obtained, and a formula is used for obtaining a teaching value; the playing speed corresponding to the user is optimized through the teaching value, and the interactive analysis module sends the playing speed of the optimized user to the teaching execution module; the teaching execution module receives the playing speed and then controls the playing speed of the teaching video played by the preferred user at present to enable the playing speed to be the same as the corresponding playing speed; the method comprises the steps of carrying out normalization processing on the access duration, the total access times and the teaching mastered value of a user, obtaining a teaching value of the user by using a formula, obtaining a corresponding playing speed through teaching value matching, and then controlling the playing speed of a teaching video through a teaching execution module, so that the problem that the playing speed needs to be manually adjusted in the playing process of the existing teaching video is avoided, and the intelligent degree is low;
2. the display distribution module is used for the user to play the teaching live broadcast video on line, the display distribution module selects the corresponding primary selection merchants according to the position of the user, then performs normalization processing on the checking interval and the model mean value of the primary selection merchants and obtains the on-broadcast value by using a formula, selects the corresponding selected merchants according to the on-broadcast value, and then controls one television of the selected merchants to be networked and plays the teaching live broadcast video corresponding to the website of the teaching live broadcast video sent by the user, thereby facilitating the user to perform on-line live broadcast learning.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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, an interactive teaching system based on big data includes a data acquisition module, a server, an interactive analysis module, a teaching execution module, a registration and login module, a personnel analysis module, and a display allocation module;
the data acquisition module is used for acquiring access information of the teaching video and sending the access information to the server; the access information comprises access user data for accessing the teaching video, the starting time of access, the total number of access times corresponding to the teaching video and the playing progress of the teaching video, and the access user data comprises the registration number, the registration time, the mobile phone number, the name and the age of the user;
the interactive analysis module is used for obtaining the access information and carrying out interactive analysis, and the specific analysis steps are as follows:
the method comprises the following steps: marking the access user accessing the teaching video at the current moment as a primary selection user; sending an interactive analysis instruction to a mobile phone terminal of a primary user, and sending a current real-time position and agreement instruction to an interactive analysis module after the primary user receives the interactive analysis instruction through the mobile phone terminal;
step two: the interaction analysis module marks the primary user who sends the current real-time position and the agreement instruction as a preferred user; calculating the time difference between the access starting time of the preferred user and the current time of the system to obtain the access duration of the preferred user and marking the access duration as T1; marking the total number of accesses corresponding to the teaching video of the preferred user as T2;
step three: acquiring the playing progress of a teaching video of a preferred user; matching the playing progress of the teaching video with a playing progress database in a server to obtain corresponding random test questions; sending the random test questions to a mobile phone terminal of a preferred user, stopping playing the teaching video, marking the moment of sending the random test questions as question making starting moment by an interactive analysis module, sending answers of the random test questions to the interactive analysis module by the preferred user through the mobile phone terminal, matching the answers sent by the preferred user with standard answers stored in a playing progress database by the interactive analysis module to obtain corresponding correct quantity and marking the correct quantity as T31, marking the moment of sending the answers by the preferred user as finishing moment by the interactive analysis module, and calculating the time difference between the finishing moment and the question making starting moment to obtain question making duration of the preferred user and marking the question making duration as T32; normalizing the correct number and the question making time length and taking the numerical value of the correct number and the question making time length; using a formula
Obtaining a teachingGrasping a value T3; wherein b1 and b2 are both preset proportionality coefficients; the BTS is a preset time length corresponding to the number of the random test questions; b1 and b2 are respectively corresponding to the values of 0.31 and 0.43;
step four: normalizing the access duration, the total access times and the teaching mastered value, taking the numerical values, and obtaining a teaching value CS by using a formula CS = T1 × b3+ T2 × b4+ T3 × b 5; wherein b3, b4 and b5 are all preset proportionality coefficients; the value of b3 is 0.356, the value of b4 is 0.23, and the value of b5 is 0.584;
step five: setting the playing speed of the teaching video as Ai, i =1,2, … …, n; n is a positive integer; the playing speed Ai corresponds to a teaching range which is respectively (0, a 1), (a 1, a 2), (… …, (An-1, an) and 0 straw a1< … … < An, the higher the playing speed of the teaching video is, when CS ∈ (An-1, an), the playing speed corresponding to a preferred user is An;
step six: the interactive analysis module sends the playing speed An of the preferred user to the teaching execution module;
after receiving the playing speed An, the teaching execution module controls the playing speed of the teaching video played by the preferred user at present, so that the playing speed of the teaching video is the same as the corresponding playing speed An; while the total number of interactions by the preferred user is increased once.
The registration login module is used for submitting registration information for registration through the mobile phone terminal by a user and sending the registration information which is successfully registered to the server for storage, the server receives the registration information of the user and then generates a registration number which corresponds to the user one by one, and the time when the registration information is received is marked as the registration time of the user; the registration information comprises the name, age and mobile phone number of the user.
The personnel analysis module is used for acquiring the registration time, the total interactive times and the age of the user and analyzing personnel values, and the specific analysis is as follows:
s1: calculating the time difference between the registration time of the user and the current time of the system to obtain the registration time length of the user and marking the registration time length as M1; marking the total number of interaction times and the age of the user as M2 and M3 respectively;
s2: carrying out normalization processing on the registration duration, the total interactive times and the age of the user and taking the numerical values of the registration duration, the total interactive times and the age;
s3: acquiring a user personnel value MZ by using a formula MZ = M1 × d1+ M2 × d2+ M3 × d 3; wherein d1, d2 and d3 are all preset proportionality coefficients; d1 takes the value of 0.3; d2 is 0.6, d3 is 0.1;
s4: the personnel analysis module sends the personnel value of the user to a server for storage;
the display distribution module is used for the user to play the teaching live video on line, and the specific steps are as follows:
and (4) SS1: a user sends a website and an online instruction of a teaching live broadcast video to a display distribution module through a mobile phone terminal;
and (4) SS2: the display distribution module acquires the personnel value of a user after receiving the website and the online instruction of the teaching live broadcast video; when MZ d4> ZB, SS3 is performed; wherein d4 is a direct broadcast value conversion coefficient; ZB is the total live broadcast value of the user; d4 takes the value of 0.965;
and (4) SS3: the display allocation module sends a position acquisition instruction to a mobile phone terminal of a user and acquires the current real-time position of the user; taking the current real-time position of the user as the center of a circle, drawing a circle by a preset radius to obtain a screening range, and marking television selling merchants with the positions within the screening range as primary merchants;
and (4) SS: calculating the distance difference between the position of the primary selected merchant and the current real-time position of the user to obtain a viewing distance, and marking the viewing distance as G1; obtaining the models of all televisions sold by the primary merchant; setting all television models to correspond to a preset model value; matching the models of the televisions sold by the primary merchants with all the television models to obtain corresponding preset model values; summing the preset model values matched by the primary merchant and averaging to obtain a model average value which is marked as G2;
and SS5: carrying out normalization processing on the checking interval and the model mean value of the primary merchant and taking the numerical value of the checking interval and the model mean value; obtaining the on-air value GF of the primary merchant by using a formula GF = (1/G1). Times.d 5+ G2. Times.d 6; wherein d5 and d6 are both preset proportionality coefficients; d5 takes the value of 0.689; d6 takes a value of 1.324;
and SS6: selecting the primary merchant with the largest broadcasting value as a selected merchant; the display distribution module sends the name of the selected merchant to the mobile phone terminal of the user;
and SS7: the method comprises the steps that a user receives the name of a selected merchant and then reaches a position corresponding to the selected merchant, then the user sends a current real-time position and a play starting instruction to a display distribution module through a mobile phone terminal, the display distribution module compares the current real-time position with the position of the selected merchant after receiving the current real-time position and the play starting instruction sent by the user, when the current real-time position and the play starting instruction are matched, the display distribution module controls one television of the selected merchants to be connected with the network and plays a teaching live broadcast video corresponding to a teaching live broadcast video website sent by the user, and meanwhile, the moment is marked as a live broadcast teaching starting moment;
and SS8: when a user sends an online closing instruction to the display distribution module through the mobile phone terminal; the display distribution module controls one television of the selected merchants to stop playing, and marks the playing stop time as a live broadcast teaching stop time; calculating the time difference between the live broadcasting teaching starting time and the live broadcasting teaching stopping time to obtain single live broadcasting time length BX1; extracting a numerical value of single live broadcast time length, and obtaining a single live broadcast value DC by using a formula DC = BX1 × d 7; wherein d7 is a preset proportional coefficient, and the value of d7 is 0.021; and summing all single live values of the user to obtain a live total value ZB of the user.
The formulas are all obtained by acquiring a large amount of data and performing software simulation, and a formula close to a true value is selected, and coefficients in the formulas are set by a person skilled in the art according to actual conditions;
when the teaching video access device is used, the data acquisition module acquires access information of a teaching video and sends the access information to the server, the interactive analysis module acquires the access information and performs interactive analysis, the access duration, the total access times and the teaching mastery value are normalized and the numerical values are obtained, and a formula is used for acquiring the teaching value; the playing speed corresponding to the user is optimized through the teaching value, and the interactive analysis module sends the playing speed of the optimized user to the teaching execution module; the teaching execution module receives the playing speed and then controls the playing speed of the teaching video played by the preferred user at present to enable the playing speed to be the same as the corresponding playing speed; the method comprises the steps of carrying out normalization processing on the access duration, the total access times and the teaching mastered value of a user, obtaining a teaching value of the user by using a formula, obtaining a corresponding playing speed through teaching value matching, and then controlling the playing speed of a teaching video through a teaching execution module, so that the problem that the playing speed needs to be manually adjusted in the playing process of the existing teaching video is avoided, and the intelligent degree is low;
the display distribution module is used for the user to play the teaching live video online, and the user sends the website and online instruction of the teaching live video to the display distribution module through the mobile phone terminal; the display distribution module acquires the personnel value of a user after receiving the website and the online instruction of the teaching live broadcast video; the display allocation module sends a position acquisition instruction to a mobile phone terminal of a user and acquires the current real-time position of the user; taking the current real-time position of the user as the center of a circle, drawing a circle with a preset radius to obtain a screening range, and marking the television selling merchants with the positions within the screening range as primary merchants; carrying out normalization processing on the checking interval and the model mean value of the primary merchant and taking the numerical value of the checking interval and the model mean value; obtaining the on-air value of the primary merchant by using a formula; selecting the primary merchant with the largest broadcasting value as a selected merchant; the display distribution module sends the name of the selected merchant to the mobile phone terminal of the user; the method comprises the steps that a user receives the name of a selected merchant and then reaches a position corresponding to the selected merchant, then the user sends a current real-time position and a play starting instruction to a display distribution module through a mobile phone terminal, the display distribution module receives the current real-time position and the play starting instruction sent by the user, compares the current real-time position with the position of the selected merchant, when the current real-time position and the position of the selected merchant are matched, the display distribution module controls one television of the selected merchant to be networked and plays a teaching live broadcast video corresponding to a teaching live broadcast video website sent by the user, selects a corresponding primary selected merchant according to the position of the user, conducts normalization processing through the viewing interval and the model mean value of the primary selected merchant and obtains an on-broadcast value through a formula, selects the corresponding selected merchant through the on-broadcast value, and then controls one television of the selected merchant to be networked and plays the teaching live broadcast video corresponding to the teaching live broadcast video website sent by the user through the display distribution module, and therefore online live broadcast learning of the user is facilitated.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (2)
1. An interactive teaching system based on big data is characterized by comprising a data acquisition module, a server, an interactive analysis module and a teaching execution module;
the data acquisition module is used for acquiring access information of the teaching video and sending the access information to the server;
the interactive analysis module is used for acquiring the access information and performing interactive analysis, and the specific analysis steps are as follows:
the method comprises the following steps: marking the access user accessing the teaching video at the current moment as a primary selection user; sending an interaction analysis instruction to a mobile phone terminal of a primary user, and sending a current real-time position and an agreement instruction to an interaction analysis module after the primary user receives the interaction analysis instruction through the mobile phone terminal;
step two: the interaction analysis module marks the primary user who sends the current real-time position and the agreement instruction as a preferred user; calculating the time difference between the access starting time of the preferred user and the current time of the system to obtain the access duration of the preferred user, and marking the access duration as T1; marking the total number of accesses corresponding to the teaching video of the preferred user as T2;
step three: acquiring the playing progress of a teaching video of a preferred user; matching the playing progress of the teaching video with a playing progress database in a server to obtain a corresponding random trialTitle to be obtained; sending the random test questions to a mobile phone terminal of a preferred user, stopping playing the teaching video, marking the moment of sending the random test questions as question making starting moment by an interactive analysis module, sending answers of the random test questions to the interactive analysis module by the preferred user through the mobile phone terminal, matching the answers sent by the preferred user with standard answers stored in a playing progress database by the interactive analysis module to obtain corresponding correct quantity and marking the correct quantity as T31, marking the moment of sending the answers by the preferred user as finishing moment by the interactive analysis module, and calculating the time difference between the finishing moment and the question making starting moment to obtain question making duration of the preferred user and marking the question making duration as T32; normalizing the correct number and the question making duration and taking the numerical value of the correct number and the question making duration; using formulas
Acquiring a teaching mastery value T3; wherein b1 and b2 are both preset proportionality coefficients; the BTS is a preset time length corresponding to the number of the random test questions;
step four: normalizing the access duration, the total access times and the teaching mastered value, taking the numerical values, and obtaining a teaching value CS by using a formula CS = T1 × b3+ T2 × b4+ T3 × b 5; wherein b3, b4 and b5 are all preset proportionality coefficients;
step five: setting the playing speed of the teaching video as Ai, i =1,2, … …, n; n is a positive integer; the playing speed Ai corresponds to a teaching range which is respectively (0, a 1), (a 1, a 2), … …, (An-1, an ], and 0< a1< … … < An, the higher the playing speed is, the faster the playing speed of the teaching video is, when CS belongs to (An-1, an), the playing speed corresponding to a preferred user is An;
step six: the interactive analysis module sends the playing speed An of the preferred user to the teaching execution module;
the teaching execution module receives the playing speed An and then controls the playing speed of the teaching video played by the preferred user at present, so that the playing speed of the teaching video is the same as the corresponding playing speed An; simultaneously, the total number of the interaction of the preferred user is increased once;
the access information comprises access user data for accessing the teaching video, the starting time of access, the total number of access times corresponding to the teaching video and the playing progress of the teaching video, and the access user data comprises the registration number, the registration time, the mobile phone number, the name and the age of the user;
the system also comprises a registration login module; the registration login module is used for submitting registration information for registration by a user through a mobile phone terminal and sending the registration information which is successfully registered to the server for storage, the server receives the registration information of the user and generates a registration number which corresponds to the user one by one, and the time when the registration information is received is marked as the registration time of the user; the registration information comprises the name, age and mobile phone number of the user;
the system also comprises a personnel analysis module and a display distribution module; the personnel analysis module is used for acquiring the registration time, the total interactive times and the age of the user and analyzing personnel values, and the specific analysis is as follows:
s1: calculating the time difference between the registration time of the user and the current time of the system to obtain the registration time length of the user and marking the registration time length as M1; marking the total number of interaction times and the age of the user as M2 and M3 respectively;
s2: carrying out normalization processing on the registration duration, the total interactive times and the age of the user and taking the numerical values of the registration duration, the total interactive times and the age;
s3: acquiring a user personnel value MZ by using a formula MZ = M1 × d1+ M2 × d2+ M3 × d 3; wherein d1, d2 and d3 are all preset proportionality coefficients;
s4: the personnel analysis module sends the personnel value of the user to a server for storage;
and the display distribution module is used for the user to play the teaching live video online.
2. The interactive tutoring system based on big data as in claim 1, wherein the display distribution module on-line playing specifically comprises:
and (4) SS1: a user sends a website and an online instruction of a teaching live broadcast video to a display distribution module through a mobile phone terminal;
and (4) SS2: the display distribution module acquires the personnel value of a user after receiving the website and the online instruction of the teaching live video; when MZ × d4> ZB, SS3 is performed; wherein d4 is a direct broadcast value conversion coefficient; ZB is the total live broadcast value of the user;
and SS3: the display allocation module sends a position acquisition instruction to a mobile phone terminal of a user and acquires the current real-time position of the user; taking the current real-time position of the user as the center of a circle, drawing a circle by a preset radius to obtain a screening range, and marking television selling merchants with the positions within the screening range as primary merchants;
and SS4: calculating the distance difference between the position of the primary selected merchant and the current real-time position of the user to obtain a viewing distance, and marking the viewing distance as G1; acquiring models of all televisions sold by the primary merchant; setting all television models to correspond to a preset model value; matching the models of the televisions sold by the primary merchants with all the television models to obtain corresponding preset model values; summing the preset model values matched by the primary merchant and averaging to obtain a model average value which is marked as G2;
and SS5: normalizing the checking interval and the model mean value of the primary selected merchant and taking the numerical value of the checking interval and the model mean value; obtaining the on-air value GF of the primary merchant by using a formula GF = (1/G1). Times.d 5+ G2. Times.d 6; wherein d5 and d6 are both preset proportionality coefficients;
and SS6: selecting the primary merchant with the largest broadcasting value as a selected merchant; the display distribution module sends the name of the selected merchant to the mobile phone terminal of the user;
and (7) SS: the method comprises the steps that a user receives the name of a selected merchant and then reaches a position corresponding to the selected merchant, then the user sends a current real-time position and a play starting instruction to a display distribution module through a mobile phone terminal, the display distribution module compares the current real-time position with the position of the selected merchant after receiving the current real-time position and the play starting instruction sent by the user, when the current real-time position and the play starting instruction are matched, the display distribution module controls one television of the selected merchants to be connected with the network and plays a teaching live broadcast video corresponding to a teaching live broadcast video website sent by the user, and meanwhile, the moment is marked as a live broadcast teaching starting moment;
and SS8: when a user sends an online closing instruction to the display distribution module through the mobile phone terminal; the display distribution module controls one television of the selected merchants to stop playing, and marks the playing stop time as a live broadcast teaching stop time; calculating the time difference between the live broadcast teaching starting time and the live broadcast teaching stopping time to obtain single live broadcast time length BX1; extracting a numerical value of single live broadcast time length, and obtaining a single live broadcast value DC by using a formula DC = BX1 × d 7; wherein d7 is a preset proportionality coefficient; and summing all single live broadcast values of the user to obtain a live broadcast total value ZB of the user.
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