CN116596258B - Internet education teaching interaction management system based on data processing - Google Patents
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Abstract
The invention discloses an Internet education teaching interaction management system based on data processing, wherein a teacher terminal is used for a teacher user to submit personal information for registration and login, and the registration information is sent to a server for storage; the student terminal is used for submitting personal information to register and log in by a student user, the registered information is sent to a server for storage, and the server acquires browsing information of the student terminal; the online teacher information processing method and the online teacher information processing system are beneficial to the student terminals to be more accurately matched with the required online teacher in the server, can save time for the student terminals to search the teacher online, and enable the student terminals to find the most suitable matched objects with the teacher terminal more quickly.
Description
Technical Field
The invention relates to the technical field of online teaching, in particular to an internet education teaching interaction management system based on data processing.
Background
Education narrowly refers to school education by specialized organizations; in a broad sense, refers to social practice activities affecting the physical and mental development of a person; the term "education" originates from the Monte Carlo "the English talents of the world. With the rapid development of society, the present education mode is not limited to classroom, and online education mode has also been developed.
On-line education is based on the internet as a medium, and the information interaction of the existing internet education teaching to the teacher terminal and the student terminal is insufficient, so that the information of the teacher terminal and the student terminal is not matched in the internet education teaching process, and on-line teachers and courses suitable for the students cannot be matched for the student terminals.
Disclosure of Invention
The invention aims to provide an internet education teaching interaction management system based on data processing, which is used for analyzing registration information of a teacher terminal to obtain an energy efficiency value of an online teacher, analyzing browsing information of a student terminal to obtain a recommended value of the online teacher, weighting the energy efficiency value and the recommended value of the online teacher in a server, and pushing the online teacher with the largest pushing base to the student terminal by the server, so that the student terminal and the online teacher are matched, the student terminal can be matched with the online teacher in the server more accurately, the time of the student terminal for searching the teacher online can be saved, and the student terminal and the teacher terminal can find the most suitable matched object more quickly.
The aim of the invention can be achieved by the following technical scheme:
An internet education teaching interaction management system based on data processing comprises a teacher terminal, a student terminal and a server; the teacher terminal is used for submitting personal information to register and log in by a teacher user, and sending the registered information to the server for storage; the student terminal is used for submitting personal information by a student user for registration and login, and sending the registration information to the server for storage;
The server acquires browsing information of the student terminal; the server analyzes the energy efficiency value of the online teacher according to the registration information of the teacher terminal, analyzes the information of the student terminal according to the browsing information of the student terminal to obtain the recommended value of the online teacher, calculates a pushing base number through the weighting processing of the energy efficiency value of the online teacher and the recommended value of the online teacher, and performs mutual matching between the student terminal and the teacher terminal according to the pushing base number, so that information interaction is realized;
the server also comprises a reservation reminding module, wherein the reservation reminding module is used for carrying out online teaching time reservation reminding on the matched teacher terminal and student terminals.
Further, the server comprises a registration login module, wherein the registration login module is used for submitting registration information to register on the server through the intelligent terminal by the teacher terminal or the student terminal;
The registration information of the teacher terminal comprises a course type, a teacher online teaching period, a teacher teaching time period, an online teaching history training amount, an online teaching qualification rate, an online teaching charging price and an online teaching teacher age.
Further, the server further comprises a data analysis module, wherein the data analysis module is used for analyzing and processing the online teacher energy efficiency value, and the specific process is as follows:
The online teaching service life of a teacher, the online teaching history training quantity, the online teaching qualification rate, the online teaching charging price and the online teaching teacher age are obtained, and data arrangement is carried out according to the online teaching service life, wherein the specific arrangement process is as follows:
calculating difference between the teaching period of the teacher line and the teaching period threshold value of the teacher line, calculating teaching period difference, comparing the teaching period difference with the teaching period difference threshold value, dividing the teaching period of the teacher line into high-year limit value or low-year limit value, and uniformly calibrating the high-year limit value or the low-year limit value into annual data ；
Performing duty ratio calculation on the on-line teaching history training amount and the on-line teaching years of the teacher, calculating a training rate value, comparing the training rate value with a training rate threshold value, judging that the training rate corresponding to the teacher is qualified when the training rate value is larger than or equal to the training rate threshold value, calibrating the corresponding training rate value to be a training rate qualified value, judging that the training rate corresponding to the teacher is unqualified when the training rate value is smaller than the training rate threshold value, calibrating the corresponding training rate value to be a training rate unqualified value, and uniformly calibrating the training rate qualified value and the training rate unqualified value to be training data；
Comparing the online teaching qualification rate with a qualification rate threshold, when the online teaching qualification rate is larger than the qualification rate threshold, judging that the online teaching qualification rate is high, generating a high qualification signal, when the online teaching qualification rate is smaller than or equal to the qualification rate threshold, judging that the online teaching qualification rate is low, generating a low qualification signal, carrying out signal identification assignment on the high qualification signal and the low qualification signal, and carrying out identification to obtain the qualification rate assignment；
Assigning a value according to the score of meritRespectively processing the charging price of the online teaching and the age of a teacher of the online teaching to obtain a charging signal assignment/>Experience Signal assignment/>；
According to the formula: Calculating the energy efficiency value/>, of a teacher on the outgoing line Wherein f1-f5 are preset proportionality coefficients, the sum of f1-f5 is 1, e is expressed as a preset constant, and the value ranges of a1, a2, a3, a4 and a5 are integers between 1 and 2.
Further, the server also comprises a display module, and the display module is used for displaying the course type and the teacher energy efficiency value in the course type in a sequence from big to small.
Further, the student terminal checks the course type displayed by the display module in the server and the ordering of the teacher energy efficiency values in the course type according to the course type, and the server obtains the browsing information of the student terminal.
Further, the browsing information of the student terminal includes browsing time of the student terminal for introducing the teacher course on line, browsing frequency of the student terminal for introducing the teacher course on line, and adaptation rate of the student terminal and the teacher terminal.
Furthermore, the adaptation rate of the student terminal and the teacher terminal is the coincidence rate of the teaching time period of the teacher and the learning time period of the student.
Further, the specific process of the data analysis module obtaining the online teacher recommended value is as follows:
acquiring browsing time of a student terminal for introducing a teacher course on a line, wherein the browsing time is marked as Xt;
acquiring browsing frequency of the student terminal for introducing a teacher course on the line, and marking the browsing frequency as Xp;
Acquiring the adaptation rate of a student terminal and a teacher terminal, and marking the adaptation rate as Xs;
By the formula Obtaining a recommended value Tjz of an online teacher aiming at a student terminal, wherein d1, d2 and d3 are preset proportionality coefficients, d1, d2 and d3 are larger than zero, and/(I)Is an error correction factor.
Further, the specific appointment reminding mode of the appointment reminding module is as follows:
collecting a time value of each teaching login of a teacher, and comparing the time value of each teaching login with a threshold value of notification release to obtain a calculated value of the teaching login time of the teacher and a time value of a probability preamble range;
The method comprises the steps of collecting a time value of each login learning of a student, comparing the time value of each login learning of the student with a threshold value of notification release to obtain a login abrasion range value, and performing login reminding setting according to the login abrasion range value, a teacher teaching login time calculated value and a probability preamble range time value, wherein the method specifically comprises the following steps of:
According to the calculation formula: setting a reminding time point, a login abrasion range value = teacher teaching login time calculation value + probability preamble range, and reversely deducing the set reminding time point; bringing the set reminder time point to the formula: warning time point = set reminding time point-corresponding time value, wherein the corresponding time value is a preset value, and when the time point in the student terminal is matched with the warning time point, a prompting signal is generated and the student is reminded to carry out login learning.
Furthermore, the specific calculation process of the teacher teaching login time calculated value, the probability preamble range time value and the login abrasion range value is as follows:
Calculating the difference between the time value of each teaching login and the threshold value of notification release, calculating a teacher login difference value, marking the teacher login difference value with positive and negative values, generating a login punctual signal when the teacher login difference value is smaller than zero and equal to zero, and generating a login delay signal when the teacher login difference value is larger than zero;
Calculating the average value of the teacher login difference value corresponding to the teacher login delay signal according to the login delay signal, calculating the average teacher login difference value, calculating the difference value of the average login difference value and the plurality of teacher login difference values corresponding to the teacher login, calculating the plurality of teacher login floating difference values, calculating the average value of the plurality of teacher login floating difference values, calculating the average teacher login floating value, and calibrating the time value corresponding to the sum of the average teacher login difference value and the average teacher login floating value to be the teacher teaching login time calculation value after the notification release threshold value is prolonged;
Calibrating the time consumed by the introduction preamble of each teaching of a teacher in teacher teaching information as teaching preamble time, arranging a plurality of teaching preamble times one by one to obtain teaching preamble arrangement data, selecting modes of the teaching preamble arrangement data, calibrating the corresponding teaching preamble time as probability preamble time, carrying out mean value calculation on the plurality of teaching preamble times, calculating a teaching preamble time mean value, carrying out mean value calculation on the probability preamble time and the teaching preamble time mean value, calculating a probability preamble difference value, carrying out duty ratio calculation on the probability preamble difference value and the number of times of occurrence of a route changing preamble time, calculating a probability preamble duty ratio value, and calibrating a range from the difference value of the probability preamble difference value and the probability preamble duty ratio value to the synthesis of the probability preamble duty ratio value as a probability preamble range time value;
The method comprises the steps of acquiring relevant data of each learning of a student, calibrating the relevant data as student learning information, and comparing time points of each login learning of the student in the student learning information with a threshold value of notification release:
Generating a student on-time signal when the time value of each login study of the student is logged in before the threshold time of notification release, and generating a student late signal when the time value of each login study of the student is logged in after the threshold time of notification release;
Extracting a student late signal, further analyzing the late condition of the student according to the student late signal, acquiring each login time point of the student, sequencing according to the sequence of each login time point of the student, selecting the last three times of student login time points in sequencing, calibrating the last three times of student login time points as login late data, carrying out average value calculation on the login late data, and calculating the login late average value;
Extracting a student set reminding time point corresponding to each login time point of a student, calculating a difference value of the two, calculating a plurality of student login abrasion time, calculating a student login abrasion average value by calculating a plurality of student login abrasion time, calibrating a difference value between login late point data and the corresponding student set reminding time point as a login late point abrasion value, carrying out average value calculation on the login late point abrasion value, calculating a login late point abrasion average value, and calibrating a time period from the difference value between the student login abrasion average value and the login late point abrasion average value to the sum value of the student login abrasion average value and the login late point abrasion average value as a login abrasion range value.
The invention has the beneficial effects that:
(1) According to the invention, the energy efficiency value of the online teacher is obtained by analyzing the registration information of the teacher terminal, the recommended value of the online teacher is obtained by analyzing the browsing information of the student terminal, the energy efficiency value and the recommended value of the online teacher in the server are weighted, the online teacher with the largest pushing base of the server is pushed to the student terminal, so that the student terminal and the online teacher are matched, the student terminal can be matched with the required online teacher in the server more accurately, the time for the student terminal to search the teacher online can be saved, and the most suitable matched object can be found between the student terminal and the teacher terminal more quickly;
(2) In the internet education and teaching process, the matched student terminals and teacher terminals are reminded in advance in class, so that the phenomenon of lack of class and few classes caused by time mismatch can be effectively reduced, the service quality of the internet education and teaching is better, and the student terminals or teacher terminals are more satisfied.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of the flow chart of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention discloses an internet education and teaching interaction management system based on data processing, which comprises a teacher terminal, a student terminal and a server, wherein the teacher terminal and the student terminal are in communication connection with the server;
the teacher user submits personal information through the teacher terminal to register and log in, and the registered information is sent to a server for storage;
The student user submits personal information through the student terminal to register and log in, the registered information is sent to a server for storage, and the server acquires browsing information of the student terminal;
the server analyzes according to the registration information of the teacher terminal to obtain the energy efficiency value of the online teacher, analyzes according to the browsing information of the student terminal to obtain the recommended value of the online teacher, and realizes the information interaction between the student terminal and the teacher terminal through the weighting processing of the energy efficiency value of the online teacher and the recommended value of the online teacher.
Specific:
The server comprises a registration login module, wherein the registration login module is used for a teacher terminal or a student terminal to submit registration information through an intelligent terminal for registration, and sends the registration information which is successfully registered to the server for storage, and after the server receives the registration information, the server marks a user corresponding to the registration information as a registered user;
the server receiving registration information of the teacher terminal includes; course type, teacher online teaching age, teacher teaching time period, online teaching history training amount, online teaching qualification rate, online teaching charging price and online teaching teacher age;
the server analyzes the registration information of the teacher terminal through the data analysis module to obtain the energy efficiency value of the online teacher, and the specific process of obtaining the energy efficiency value of the online teacher through the data analysis module is as follows:
Obtaining the teaching age of the teacher line, calculating the difference between the teaching age of the teacher line and the corresponding teaching age threshold of the teacher line, calculating the teaching age difference, comparing the teaching age difference with the teaching age difference threshold, dividing the teaching age of the teacher line into a high-age limit value or a low-age limit value, and uniformly calibrating the high-age limit value or the low-age limit value into the data of the age A1=1, 2, when a1=1,/>Expressed as high annual limit, when a1=2,/>The method comprises the steps of representing a low annual limit value, wherein a teacher line teaching age threshold value and a teaching age difference threshold value are preset values;
Acquiring on-line teaching history training quantity, performing duty ratio calculation on the on-line teaching history training quantity and the on-line teaching period of a teacher, calculating a training rate value, comparing the training rate value with a training rate threshold, judging that the training rate corresponding to the teacher is qualified when the training rate value is more than or equal to the training rate threshold, calibrating the corresponding training rate value as a training rate qualification value, judging that the training rate corresponding to the teacher is unqualified when the training rate value is less than the training rate threshold, calibrating the corresponding training rate value as a training rate unqualification value, and uniformly calibrating the training rate qualification value and the training rate unqualification value as training data A2=1, 2, when a2=1,/>Expressed as training rate compliance value, when a2=2,/>Expressed as a training rate failure value;
Obtaining the good score of the online teaching, comparing the good score of the online teaching with a good score threshold, when the good score of the online teaching is larger than the good score threshold, judging that the good score of the online teaching is high, generating a high score signal, when the good score of the online teaching is smaller than or equal to the good score threshold, judging that the good score of the online teaching is low, generating a low score signal, carrying out signal identification assignment on the high score signal and the low score signal, and identifying to obtain the good score assignment A3=1, 2, when a3=1,/>Assigned value denoted high evaluation signal, when a3=2,/>A value represented as a low scoring signal;
acquiring the charge price of online teaching, comparing the charge price of online teaching with a charge price threshold, when the charge price of online teaching is larger than the charge price threshold, determining that the charge price of online teaching is high, generating a high charge signal, when the charge price of online teaching is smaller than or equal to the charge price threshold, determining that the charge price of online teaching is low, generating a low charge signal, carrying out signal identification assignment on the high charge signal and the low charge signal, and identifying to obtain a charge signal assignment A4=1, 2, when a4=1,/>Denoted as assignment of high-charge signal, when a4=2,/>A value represented as a low charge signal;
Obtaining the age of a teacher in online teaching, comparing the age of the teacher in online teaching with an experience dividing age threshold, judging the teaching experience of the teacher to be rich in experience when the age of the teacher in online teaching is larger than the experience dividing age threshold, generating a high experience signal, judging the teaching experience of the teacher to be shallow in experience when the age of the teacher in online teaching is smaller than or equal to the experience dividing age threshold, generating a low experience signal, carrying out signal identification assignment on the high experience signal and the low experience signal, and identifying to obtain an experience signal assignment A5=1, 2, when a5=1,/>Assignment expressed as a high experience signal, when a5=2,/>A value represented as a low experience signal;
According to the formula: Calculating the energy efficiency value/>, of a teacher on the outgoing line Wherein, f1-f5 are all preset proportionality coefficients, the sum of f1-f5 is 1, and e is expressed as a preset constant;
The energy efficiency values of the online teachers are sequenced, and the sequencing rules are arranged according to the sequence from big to small to obtain a sequencing table of the energy efficiency values of the online teachers in different course types;
the server also comprises a display module, and the display module is used for displaying the course type and the ordered list of teacher energy efficiency values in the course type;
the display module further comprises teaching time periods of different teachers.
The calculation formula of the energy efficiency value can be used for obtaining that the longer the teaching period of the online teacher is, the larger the online teaching history training amount is, the higher the online teaching qualification rate is, the larger the energy efficiency value is, the stronger the online teacher teaching capability is represented, the higher the online teaching charging price is, the closer the age of the online teacher is 35, and the larger the energy efficiency value Nxz is represented.
The server receiving registration information of the student terminal includes; course type, learning time period of the student, name of the student, grade of the student, contact mode of the student and contact mode of parents of the student;
the student terminal checks the course type displayed by the display module in the server and the ordered list of teacher energy efficiency values in the course type according to the course type, and the server obtains browsing information of the student terminal;
The browsing information of the student terminal comprises the browsing time of the student terminal for introducing the teacher course, the browsing frequency of the student terminal for introducing the teacher course and the adaptation rate of the student terminal and the teacher terminal;
The adaptation rate of the student terminal and the teacher terminal is the coincidence rate of the teaching time period of a teacher and the learning time period of a student, and the higher the coincidence rate of the teaching time period of the teacher and the learning time period of the student is, the higher the adaptation rate of the student terminal is;
the server analyzes the browsing information of the student terminal through the data analysis module to obtain the recommended value of the online teacher, and the specific process of obtaining the recommended value of the online teacher through the data analysis module is as follows:
Acquiring browsing time of a student terminal for introducing a teacher course on a line, wherein the browsing time is marked as Xt; acquiring browsing frequency of the student terminal for introducing a teacher course on the line, and marking the browsing frequency as Xp; acquiring the adaptation rate of a student terminal and a teacher terminal, and marking the adaptation rate as Xs;
By the formula Obtaining a recommended value Tjz of an online teacher aiming at a student terminal, wherein d1, d2 and d3 are preset proportionality coefficients, d1, d2 and d3 are larger than zero, and/(I)Is an error correction factor,/>The value of (3) is 1.687423;
and sequencing the acquired recommended values of the online teacher aiming at the student terminal, and sequencing the sequencing rules according to the sequence from big to small to obtain a sequencing table of the recommended values of the online teacher in different course types.
The server also comprises a data pushing module, and the data pushing module acquires an ordered list of online teacher energy efficiency values and an ordered list of online teacher recommended values in the same course type;
The data pushing module selects a teacher with a front ten recommended value of the teacher in the line of the sorting table, and marks the recommended value corresponding to the teacher with the front ten recommended value as LTi;
Weighting the energy efficiency value Nxz of the online teacher and the recommended value LTi corresponding to the teacher with the ten front recommended value, distributing the weight ratio of the energy efficiency value Nxz of the online teacher to be C1, distributing the weight ratio of the teacher LTi with the ten front recommended value to be C2, wherein C1+C2=1, and calculating according to a formula Xw= Nxz ×C1+lti×C2 to obtain a push base;
The data pushing module pushes the online teacher with the largest pushing base to the student terminal, so that the student terminal and the online teacher are matched, the student terminal can be matched with the required online teacher more accurately in the server, the time for the student terminal to search the teacher online can be saved, and the most suitable matched object can be found between the student terminal and the teacher terminal more quickly.
The server also comprises a reservation reminding module, wherein the reservation reminding module is used for carrying out online teaching time reservation reminding on the matched teacher terminal and student terminals;
the method comprises the steps of obtaining relevant data of teachers for teaching each time, calibrating the relevant data as teacher teaching information, registering time values of the teachers in the teacher teaching information each time, and comparing the registering time values of the teachers each time with a threshold value for notifying release:
Calculating the difference between the time value of each teaching login and the threshold value of notification release, calculating a teacher login difference value, marking the teacher login difference value with positive and negative values, judging that the time of each login of the teacher is accurate when the teacher login difference value is smaller than zero, generating a login punctual signal, and judging that the time of each login of the teacher is wrong when the teacher login difference value is larger than zero, generating a login delay signal;
Extracting a login on-time signal and a login delay signal, identifying the login on-time signal, calibrating a time point corresponding to a released threshold value as a starting on-line time point when the login on-time signal is identified, carrying out average value calculation on a teacher login difference value corresponding to the teacher delay signal each time when the login delay signal is identified, calculating a teacher login average value, carrying out difference value calculation on the login average difference value and a plurality of teacher login difference values corresponding to each time the teacher logs in, calculating a plurality of teacher login floating difference values, carrying out average value calculation on the plurality of teacher login floating difference values, calculating a teacher login floating average value, backwards extending a time value corresponding to the sum of the teacher login average value and the teacher login floating average value according to the released threshold value, and calibrating the time value as a teacher teaching login time calculation value;
Calibrating the time consumed by the introduction preamble of each teaching of a teacher in teacher teaching information as teaching preamble time, arranging a plurality of teaching preamble times one by one to obtain teaching preamble arrangement data, selecting modes of the teaching preamble arrangement data, calibrating the corresponding teaching preamble time as probability preamble time, carrying out mean value calculation on the plurality of teaching preamble times, calculating a teaching preamble time mean value, carrying out mean value calculation on the probability preamble time and the teaching preamble time mean value, calculating a probability preamble difference value, carrying out duty ratio calculation on the probability preamble difference value and the number of times of occurrence of a route changing preamble time, calculating a probability preamble duty ratio value, and calibrating a range from the difference value of the probability preamble difference value and the probability preamble duty ratio value to the synthesis of the probability preamble duty ratio value as a probability preamble range time value;
The method comprises the steps of acquiring relevant data of each learning of a student, calibrating the relevant data as student learning information, and comparing time points of each login learning of the student in the student learning information with a threshold value of notification release:
When the time value of each login study of the student is logged in before the threshold time of notification release, determining that the student is logged in at time, generating a student on-time signal, and when the time value of each login study of the student is logged in after the threshold time of notification release, determining that the student is logged in at time later, and generating a student later signal;
Extracting a student late signal, further analyzing the late condition of the student according to the student late signal, acquiring each login time point of the student, sequencing according to the sequence of each login time point of the student, selecting the last three times of student login time points in sequencing, calibrating the last three times of student login time points as login late data, carrying out average value calculation on the login late data, and calculating the login late average value;
Extracting a student set reminding time point corresponding to each login time point of a student, calculating a difference value of the two, calculating a plurality of student login abrasion time, calculating a student login abrasion average value by calculating a plurality of student login abrasion time, calibrating a difference value between login late point data and the corresponding student set reminding time point as a login late point abrasion value, calculating a login late point abrasion average value by calculating a mean value, and calibrating a time period from the difference value between the student login abrasion average value and the login late point abrasion average value to the sum value of the student login abrasion average value and the login late point abrasion average value as a login abrasion range value;
the login reminding setting is carried out according to the login abrasion range value, the teacher teaching login time calculated value and the probability preamble range time value, and specifically comprises the following steps:
According to the calculation formula: setting a reminding time point, a login abrasion range value = teacher teaching login time calculation value + probability preamble range, and reversely deducing the set reminding time point;
Bringing the set reminder time point to the formula: warning time point = set reminding time point-corresponding time value, wherein the corresponding time value is a preset value, and when the time point in the student terminal is matched with the warning time point, a prompting signal is generated and the student is reminded to carry out login learning.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (6)
1. An internet education teaching interaction management system based on data processing comprises a teacher terminal, a student terminal and a server; the teacher terminal is used for submitting personal information to register and log in by a teacher user, and sending the registered information to the server for storage; the student terminal is used for submitting personal information by a student user for registration and login, and sending the registration information to the server for storage;
The server acquires browsing information of the student terminal; the method is characterized in that the server analyzes the energy efficiency value of the online teacher according to the registration information of the teacher terminal, analyzes the energy efficiency value of the online teacher according to the browsing information of the student terminal, obtains the recommended value of the online teacher, calculates a pushing base number by weighting the energy efficiency value of the online teacher and the recommended value of the online teacher, and performs mutual matching between the student terminal and the teacher terminal according to the pushing base number;
The server also comprises a reservation reminding module, wherein the reservation reminding module is used for carrying out online teaching time reservation reminding on the matched teacher terminal and student terminals;
The server comprises a registration login module, wherein the registration login module is used for submitting registration information to register on the server by a teacher terminal or a student terminal through an intelligent terminal;
the registration information of the teacher terminal comprises a course type, a teacher online teaching period, a teacher teaching time period, an online teaching history training amount, an online teaching qualification rate, an online teaching charging price and an online teaching teacher age;
The server also comprises a data analysis module, wherein the data analysis module is used for analyzing and processing the online teacher energy efficiency value, and the specific process is as follows:
The online teaching service life of a teacher, the online teaching history training quantity, the online teaching qualification rate, the online teaching charging price and the online teaching teacher age are obtained, and data arrangement is carried out according to the online teaching service life, wherein the specific arrangement process is as follows:
calculating difference between the teaching period of the teacher line and the teaching period threshold value of the teacher line, calculating teaching period difference, comparing the teaching period difference with the teaching period difference threshold value, dividing the teaching period of the teacher line into high-year limit value or low-year limit value, and uniformly calibrating the high-year limit value or the low-year limit value into annual data ；
Performing duty ratio calculation on the on-line teaching history training amount and the on-line teaching years of the teacher, calculating a training rate value, comparing the training rate value with a training rate threshold value, judging that the training rate corresponding to the teacher is qualified when the training rate value is larger than or equal to the training rate threshold value, calibrating the corresponding training rate value to be a training rate qualified value, judging that the training rate corresponding to the teacher is unqualified when the training rate value is smaller than the training rate threshold value, calibrating the corresponding training rate value to be a training rate unqualified value, and uniformly calibrating the training rate qualified value and the training rate unqualified value to be training data；
Comparing the online teaching qualification rate with a qualification rate threshold, when the online teaching qualification rate is larger than the qualification rate threshold, judging that the online teaching qualification rate is high, generating a high qualification signal, when the online teaching qualification rate is smaller than or equal to the qualification rate threshold, judging that the online teaching qualification rate is low, generating a low qualification signal, carrying out signal identification assignment on the high qualification signal and the low qualification signal, and carrying out identification to obtain the qualification rate assignment；
Assigning a value according to the score of meritRespectively processing the charging price of the online teaching and the age of a teacher of the online teaching to obtain a charging signal assignment/>Experience Signal assignment/>；
According to the formula: Calculating the energy efficiency value/>, of a teacher on the outgoing line Wherein f1-f5 are preset proportionality coefficients, the sum of f1-f5 is 1, e is expressed as a preset constant, and the value ranges of a1, a2, a3, a4 and a5 are integers between 1 and 2;
The specific appointment reminding mode of the appointment reminding module is as follows:
collecting a time value of each teaching login of a teacher, and comparing the time value of each teaching login with a threshold value of notification release to obtain a calculated value of the teaching login time of the teacher and a time value of a probability preamble range;
The method comprises the steps of collecting a time value of each login learning of a student, comparing the time value of each login learning of the student with a threshold value of notification release to obtain a login abrasion range value, and performing login reminding setting according to the login abrasion range value, a teacher teaching login time calculated value and a probability preamble range time value, wherein the method specifically comprises the following steps of:
according to the calculation formula: setting a reminding time point, a login abrasion range value = teacher teaching login time calculation value + probability preamble range, and reversely deducing the set reminding time point; bringing the set reminder time point to the formula: warning time point = set reminding time point-corresponding time value, wherein the corresponding time value is a preset value, and when the time point in the student terminal is matched with the warning time point, a prompting signal is generated and the student is reminded to carry out login learning;
the teacher teaching login time calculated value, the probability preamble range time value and the login abrasion range value are specifically calculated according to the following steps:
Calculating the difference between the time value of each teaching login and the threshold value of notification release, calculating a teacher login difference value, marking the teacher login difference value with positive and negative values, generating a login punctual signal when the teacher login difference value is less than or equal to zero, and generating a login delay signal when the teacher login difference value is greater than zero;
Calculating the average value of the teacher login difference value corresponding to the teacher login delay signal according to the login delay signal, calculating the average teacher login difference value, calculating the difference value of the average login difference value and the plurality of teacher login difference values corresponding to the teacher login, calculating the plurality of teacher login floating difference values, calculating the average value of the plurality of teacher login floating difference values, calculating the average teacher login floating value, and calibrating the time value corresponding to the sum of the average teacher login difference value and the average teacher login floating value to be the teacher teaching login time calculation value after the notification release threshold value is prolonged;
Calibrating the time consumed by the introduction preamble of each teaching of a teacher in teacher teaching information as teaching preamble time, arranging a plurality of teaching preamble times one by one to obtain teaching preamble arrangement data, selecting modes of the teaching preamble arrangement data, calibrating the corresponding teaching preamble time as probability preamble time, carrying out mean value calculation on the plurality of teaching preamble times, calculating a teaching preamble time mean value, carrying out mean value calculation on the probability preamble time and the teaching preamble time mean value, calculating a probability preamble difference value, carrying out duty ratio calculation on the probability preamble difference value and the occurrence times of the probability preamble time, calculating a probability preamble duty ratio, and calibrating a range from the difference value of the probability preamble difference value and the probability preamble duty ratio to the synthesis of the probability preamble duty ratio as a probability preamble range time value;
The method comprises the steps of acquiring relevant data of each learning of a student, calibrating the relevant data as student learning information, and comparing time points of each login learning of the student in the student learning information with a threshold value of notification release:
Generating a student on-time signal when the time value of each login study of the student is logged in before the threshold time of notification release, and generating a student late signal when the time value of each login study of the student is logged in after the threshold time of notification release;
Extracting a student late signal, further analyzing the late condition of the student according to the student late signal, acquiring each login time point of the student, sequencing according to the sequence of each login time point of the student, selecting the last three times of student login time points in sequencing, calibrating the last three times of student login time points as login late data, carrying out average value calculation on the login late data, and calculating the login late average value;
Extracting a student set reminding time point corresponding to each login time point of a student, calculating a difference value of the two, calculating a plurality of student login abrasion time, calculating a student login abrasion average value by calculating a plurality of student login abrasion time, calibrating a difference value between login late point data and the corresponding student set reminding time point as a login late point abrasion value, carrying out average value calculation on the login late point abrasion value, calculating a login late point abrasion average value, and calibrating a time period from the difference value between the student login abrasion average value and the login late point abrasion average value to the sum value of the student login abrasion average value and the login late point abrasion average value as a login abrasion range value.
2. The interactive management system for education, teaching and interaction of internet based on data processing according to claim 1, wherein the server further comprises a display module, and the display module is used for displaying the course type and the teacher energy efficiency value in the course type in order of increasing magnitude.
3. The interactive management system for education, teaching and interaction of internet based on data processing according to claim 2, wherein the student terminal checks the class type displayed by the display module in the server and the ranking of teacher energy efficiency values in the class type according to the class type, and the server obtains browsing information of the student terminal.
4. The data processing-based internet education teaching interaction management system according to claim 3, wherein the browsing information of the student terminal includes browsing time of the student terminal to the introduction of the teacher's course, browsing frequency of the student terminal to the introduction of the teacher's course and adaptation rate of the student terminal to the teacher's terminal.
5. The data processing-based internet education teaching interaction management system according to claim 4, wherein the adaptation rate of the student terminal and the teacher terminal is a coincidence rate of a teaching time period of a teacher and a learning time period of a student.
6. The internet education teaching interaction management system based on data processing according to claim 5, wherein the specific process of the data analysis module obtaining the on-line teacher recommendation value is as follows:
acquiring browsing time of a student terminal for introducing a teacher course on a line, wherein the browsing time is marked as Xt;
acquiring browsing frequency of the student terminal for introducing a teacher course on the line, and marking the browsing frequency as Xp;
Acquiring the adaptation rate of a student terminal and a teacher terminal, and marking the adaptation rate as Xs;
By the formula Obtaining a recommended value Tjz of an online teacher aiming at a student terminal, wherein d 1、d2 and d 3 are preset proportionality coefficients, d 1、d2 and d 3 are both larger than zero, and the value is/areIs an error correction factor.
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