CN116452071A - Intelligent teaching quality evaluation system based on VR and 5G technologies - Google Patents
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Abstract
The invention discloses an intelligent teaching quality evaluation system based on VR and 5G technologies, and belongs to the technical field of intelligent teaching; the learning state estimation coefficients are obtained by integrating and calculating the data related to the learning behaviors of different students in teaching of different teaching pages, and the learning states corresponding to the students are integrally analyzed and classified based on the learning state estimation coefficients, so that the accuracy of monitoring and analyzing the learning states of the students can be effectively improved, and meanwhile, the data support of the students can be provided for the teaching state analysis of subsequent teachers; the intelligent teaching system and the intelligent teaching method are used for solving the technical problems that in the existing scheme, modularized monitoring analysis is not carried out on the intelligent teaching process from different dimensions, and the analysis results are integrated to analyze and evaluate the overall quality of the intelligent teaching, so that the overall effect of the intelligent teaching quality evaluation is poor.
Description
Technical Field
The invention relates to the technical field of intelligent teaching, in particular to an intelligent teaching quality assessment system based on VR and 5G technologies.
Background
The intelligent teaching is an internet-of-things, intelligent, perceptive and ubiquitous education information ecological system which is built by means of new generation information technologies such as internet of things, cloud computing and wireless communication, so that the education information is used for promoting the education modernization, and the traditional mode is changed by using the information technology.
The existing intelligent teaching quality assessment scheme has certain defects in implementation: the method has the advantages that the learning behaviors of students on different teaching pages are not monitored and analyzed, the teaching behaviors of teachers are monitored and analyzed to implement modularized evaluation classification, and the evaluation results on the different teaching pages are integrated to analyze and evaluate the overall quality of intelligent teaching, so that the overall effect of the intelligent teaching quality evaluation is poor.
Disclosure of Invention
The invention aims to provide an intelligent teaching quality assessment system based on VR and 5G technologies, which is used for solving the technical problems that in the existing scheme, modularized monitoring analysis is not carried out on the intelligent teaching process from different dimensions, and the analysis results are integrated to analyze and evaluate the overall quality of intelligent teaching, so that the overall effect of intelligent teaching quality assessment is poor.
The aim of the invention can be achieved by the following technical scheme:
an intelligent teaching quality evaluation system based on VR and 5G technologies comprises a monitoring statistics module, a monitoring integration module, an evaluation prompt module, a cloud platform and a database;
the monitoring and statistics module is used for carrying out data statistics and preprocessing on the learning process of intelligent teaching to obtain a learner monitoring set; the intelligent teaching system comprises a teacher monitoring set, a data statistics unit, a preprocessing unit and a data processing unit, wherein the intelligent teaching system is used for carrying out data statistics and preprocessing on a teaching process of intelligent teaching to obtain the teacher monitoring set;
the monitoring integration module is used for integrating data of learning states of different students according to the student monitoring set to obtain student integration data;
the system comprises a teacher monitoring set, a quality evaluation set, a teaching analysis set and a data integration set, wherein the teacher monitoring set is used for integrating teaching states of a teacher according to the teacher monitoring set to obtain a teaching integration set containing teaching analysis data and quality evaluation data;
and the evaluation prompt module is used for carrying out feedback prompt on the teaching integration set to a teacher after the teaching is finished through the VR technology.
Preferably, the step of acquiring the trainee monitoring set includes: acquiring teaching subjects implemented by intelligent teaching, matching the acquired teaching subjects with all teaching subjects prestored in a database to acquire corresponding subject weights, and marking;
obtaining the numbers of all students and marking; monitoring and counting the lesson-taking behaviors of the students in turn according to the numbers of the students; acquiring actively marked contents and problems of a student, respectively matching a plurality of marked contents and problems with a content weight table and a problem weight table prestored in a database to acquire corresponding content weights and problem weights, and respectively marking;
counting the total number of contents and the total number of exercises marked by a student and marking the contents and the total number of exercises respectively; counting the total gazing time length of a student gazing at a screen and the total leaving time length of a student leaving the screen, and marking the total gazing time length and the total leaving time length respectively; and (3) arranging and combining all marked data according to a preset sequence to obtain a trainee monitoring set, and uploading the trainee monitoring set to the cloud platform and the database through 5G communication.
Preferably, the step of obtaining the teacher monitoring set includes: respectively setting a time point when a teacher starts teaching and a time point when the teacher ends teaching as a starting time point and an ending time point;
acquiring teaching titles and stay time lengths of different teaching pages in the teaching process of a teacher, matching the acquired teaching titles with a title weight table prestored in a database to acquire corresponding title weights and marking; marking the stay time of the teaching page; counting the total number of teaching pages and marking; arranging and combining all marked data according to a preset sequence to obtain teaching monitoring data;
monitoring and counting the question making conditions of students of different teaching pages to obtain question making monitoring data;
the teaching monitoring data and the question making monitoring data form a teacher monitoring set and are uploaded to the cloud platform and the database through 5G communication.
Preferably, the step of acquiring the trainee integrated data includes: obtaining topic weights, content weights, topic weights, total content, total topic numbers, total gazing duration and total leaving duration marked in a student monitoring set; the numerical values of all the marked data are extracted and combined in parallel to obtain the learning state estimation coefficient of the student.
Preferably, when evaluating the learning state of a learner according to the learning state estimation coefficient, acquiring a learning state estimation threshold value prestored in a database according to a teaching subject, and matching the learning state estimation coefficient with the learning state estimation threshold value to obtain a state positive label, a state light label and a state middle label;
the learning state estimation coefficient and the corresponding state positive label, state light label and state label form the student integrated data and are uploaded to the cloud platform and the database through 5G communication.
Preferably, the step of acquiring the teaching integration set includes: acquiring teaching monitoring data and question making monitoring data in a teacher monitoring set; acquiring the title weight of the mark in the teaching monitoring data and the stay time of the teaching page; the numerical values of all the marked data are extracted and integrated in parallel to obtain the teaching duration of the teaching.
Preferably, when the teaching quality of the corresponding teaching page is obtained according to the question making monitoring data, the problem weight and the problem total number in the question making monitoring data are obtained; acquiring and marking the total number of mistakes made by different exercises; extracting the numerical values of all marked data, and vertically integrating the numerical values to obtain the influence factors of teaching; and carrying out simultaneous integration on the learner integrated data, the teaching duration and the influence factors to obtain teaching state estimation coefficients corresponding to the teaching pages.
Preferably, the real-time teaching state of the teacher is analyzed and evaluated according to the teaching state estimation coefficient, a corresponding teaching state estimation threshold value is obtained according to the teaching page, and the teaching state estimation coefficient is matched with the teaching state estimation threshold value to obtain teaching analysis data comprising teaching positive signals, teaching light signals and teaching middle signals.
Preferably, when the teaching quality of a teacher is integrally evaluated according to the teaching analysis data, the total number of teaching light labels and the total number of teaching light labels associated with a teaching page corresponding to the teaching light signals and the teaching signal in the teaching analysis data are obtained and are respectively matched with corresponding quality evaluation thresholds for analysis, so that quality evaluation data including general, medium and excellent overall teaching quality is obtained; the teaching analysis data and the quality evaluation data form a teaching integration set and are uploaded to a cloud platform and a database through 5G communication.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the learning state estimation coefficients are obtained by integrating and calculating the data related to the learning behaviors of different students in teaching of different teaching pages, and the learning states corresponding to the students are integrally analyzed and classified based on the learning state estimation coefficients, so that the accuracy of monitoring and analyzing the learning states of the students can be effectively improved, and meanwhile, the data support of the students can be provided for the teaching state analysis of subsequent teachers;
the teaching states of teachers are integrally evaluated by combining teaching aspect data of teaching pages and student question aspect data, and reliable data support can be provided for the overall evaluation of subsequent teaching quality by analyzing, evaluating and classifying the teaching states of different teaching pages;
through carrying out the simultaneous integration with the teaching state evaluation result of different teaching pages and carrying out the whole aassessment to its wisdom teaching when the class, through the modularization monitoring analysis and the integration of different teaching pages, can effectively improve the whole effect of wisdom teaching quality aassessment.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a block diagram of an intelligent teaching quality assessment system based on VR and 5G technology.
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.
As shown in FIG. 1, the invention relates to an intelligent teaching quality evaluation system based on VR and 5G technologies, which comprises a monitoring statistics module, a monitoring integration module, an evaluation prompt module, a cloud platform and a database;
the monitoring and counting module comprises a student monitoring unit and a teacher monitoring unit;
carrying out data statistics and preprocessing on the learning process of intelligent teaching through a learner monitoring unit to obtain a learner monitoring set; comprising the following steps:
acquiring teaching subjects implemented by intelligent teaching, setting different teaching subjects to correspond to different subject weights, matching the acquired teaching subjects with all teaching subjects prestored in a database to acquire corresponding subject weights, and marking the corresponding subject weights as ZQ;
the teaching subjects can be obtained based on the existing book content, and the content importance of different book chapters is different, so that the standards for implementing teaching quality evaluation are also different, and the subjects are digitally represented by the subjects weight to realize the differentiated monitoring analysis and evaluation of different teaching qualities of teachers, so that the diversity and accuracy of intelligent teaching quality evaluation are improved;
meanwhile, different teaching subjects are preset with a corresponding subject weight, and numerical values of different subject weights can be customized;
acquiring the academic numbers of all students based on a student information database and marking the academic numbers as i epsilon {1,2,3,.. The use of n }, wherein n is a positive integer; monitoring and counting the lesson-taking behaviors of the students in turn according to the numbers of the students;
acquiring actively marked contents and problems of a student, respectively matching a plurality of marked contents and problems with a content weight table and a problem weight table pre-stored in a database to acquire corresponding content weights and problem weights, and respectively marking the corresponding content weights and problem weights as NQ and TQ1;
the content weight table comprises a plurality of different contents and corresponding content weights, wherein the different contents are associated with one corresponding content weight in advance, and the numerical values of the different content weights can be customized; the problem weight table is similar;
it should be explained that, the content and problems actively marked by the students can be obtained based on the existing intelligent device, for example, the learning of the students is realized through an intelligent tablet, the students can register and log in to learn through the academic number, the active marking content and problems can be implemented through an intelligent pen in the learning process, the identification of marking behaviors is the existing conventional technical means, and specific steps are not repeated here;
counting the total number of contents and the total number of problems marked by a student and respectively marking as NZ and TZ1; the total content and the total problem can be obtained through direct statistics of the intelligent tablet and networking sharing;
counting the total gazing duration of a student gazing at a screen and the total leaving duration of a student leaving the screen, wherein the total gazing duration is marked as ZS and LS respectively; the units of the total gazing duration and the total leaving duration are minutes;
the total gazing time length of a student gazing at a screen and the total leaving time length of a student leaving the screen can be realized through a camera on an intelligent panel, wherein the technology also relates to the face recognition technology, and the technology is an existing conventional technology means, and specific steps are not repeated here;
arranging and combining all marked data according to a preset sequence to obtain a trainee monitoring set, and uploading the trainee monitoring set to a cloud platform and a database through 5G communication;
in the embodiment of the invention, the data support of students can be provided for the analysis of the learning state of the subsequent students and the analysis of the teaching quality of teachers by carrying out monitoring statistics and preprocessing on the learning behaviors of different students in class;
carrying out data statistics and preprocessing on the teaching process of intelligent teaching through a teacher monitoring unit to obtain a teacher monitoring set; comprising the following steps:
respectively setting a time point when a teacher starts teaching and a time point when the teacher finishes teaching as a starting time point and an ending time point, and implementing data monitoring statistics;
acquiring teaching titles and stay time of different teaching pages in the teaching process of a teacher, matching the acquired teaching titles with a title weight table prestored in a database to acquire corresponding title weights, and marking the corresponding title weights as BQ;
the title weight table comprises a plurality of different teaching titles and corresponding title weights, wherein the different teaching titles are customized in advance to form a corresponding title weight, and the corresponding title weights can be customized and stored manually in advance through the management of a teacher;
marking the stay time of a teaching page in teaching of a teacher as TS; counting the total number of teaching pages and marking the total number as YZ; the unit of the residence time is minutes;
it is to be explained that the residence time of the teaching page during teaching of the teacher can be monitored and obtained by controlling the action of the PPT page turner by the teacher, and when the teacher controls the page turning of the teaching page by the PPT page turner, the residence time corresponding to the teaching page is obtained according to the time point displayed by the teaching page and the time point leaving from the teaching page;
arranging and combining all marked data according to a preset sequence to obtain teaching monitoring data;
monitoring and counting the question making conditions of students of different teaching pages to obtain question making monitoring data;
the teaching monitoring data and the question making monitoring data form a teacher monitoring set and are uploaded to the cloud platform and the database through 5G communication; here, the 5G communication plays a role of data transmission;
in the embodiment of the invention, reliable data support can be provided for teaching quality analysis of different subsequent teaching pages by carrying out monitoring statistics and preprocessing on the different teaching pages of the teacher;
the monitoring integration module comprises a student integration unit and a teacher integration unit;
the data integration is carried out on the learning states of different students according to the student monitoring set through a student integration unit, so that student integration data are obtained; comprising the following steps:
obtaining topic weights ZQ, content weights NQ, topic weights TQ1, total content NZ, total topic TZ1, total gazing duration ZS and total leaving duration LS marked in a student monitoring set;
extracting the numerical values of all the marked data, integrating the numerical values in parallel, and obtaining a learning state estimation coefficient XZG of a learner through calculation; the calculation formula of the learning state estimation coefficient XZG is as follows:
；
wherein g1, g2 and g3 are preset proportional coefficients which are all larger than zero, the value ranges are (0, 6), g1 can be 1.325, g2 can be 2.471, and g3 can be 3.644; alpha is a learning compensation coefficient, the value range is (0, 3), and the value can be 0.9827;
it should be noted that the learning state estimation coefficient is a numerical value for integrating various data of different learning behaviors of a learner in different teaching pages to integrally estimate the learning state of the learner; the smaller the learning state estimation coefficient is, the more normal the corresponding learning state is;
it is noted that, in the embodiment of the invention, the learning-like estimation coefficient can be obtained by integrating and calculating each data item of the acquisition and processing, or each data item of the acquisition and processing can be trained through the existing algorithm model, and the obtained value is named as the learning-like estimation coefficient; the calculation of the follow-up teaching duration, influence factors and teaching state estimation coefficients is the same;
when evaluating the learning state of a learner according to the learning state estimation coefficient, acquiring a pre-stored learning state estimation threshold value in a database according to a teaching subject, and matching the learning state estimation coefficient with the learning state estimation threshold value;
if the learning state estimation coefficient is smaller than the learning state estimation threshold value, judging that the learning state of the corresponding student is normal and the learning state of the corresponding student is associated with the positive label;
if the learning state estimation coefficient is not smaller than the learning state estimation threshold value and not larger than Y of the learning state estimation threshold value, judging that the learning state of the corresponding student is slightly abnormal and correlating with a state light label; y is a real number greater than one hundred; mild abnormalities in learning state can be colloquially understood as the existence of unintelligible knowledge points;
if the learning state estimation coefficient is larger than Y of the learning state estimation threshold value, judging that the learning state of the corresponding learner is abnormal and correlating with the state middle label; the learning state moderate abnormality can be colloquially understood as a knowledge point with more unintelligible knowledge;
learning the shape estimation coefficient, and forming learner integrated data by the corresponding shape positive label, shape light label and shape label, and uploading the learner integrated data to a cloud platform and a database through 5G communication;
in the embodiment of the invention, the learning state estimation coefficient is obtained by integrating and calculating the data related to the learning behaviors of different students in teaching of different teaching pages, and the learning state corresponding to the students is integrally analyzed and classified based on the learning state estimation coefficient, so that the accuracy of monitoring and analyzing the learning state of the students can be effectively improved, and meanwhile, the data support of the students can be provided for the teaching state analysis of subsequent teachers;
notably, the embodiment of the invention implements local monitoring analysis and classification based on different teaching pages, and compared with the whole data monitoring and data analysis in the existing scheme, the embodiment of the invention can realize more accurate and efficient monitoring analysis and evaluation;
the teacher integrating unit integrates data of the teaching states of the teacher according to the teacher monitoring set to obtain a teaching integrating set; comprising the following steps:
acquiring teaching monitoring data and question making monitoring data in a teacher monitoring set;
acquiring a title weight BQ marked in teaching monitoring data and a stay time TS of a teaching page; the unit of the residence time is also minutes; extracting the numerical values of all marked data, integrating the numerical values in parallel, and obtaining the teaching duration JC of teaching through calculation; the calculation formula of the teaching duration JC is as follows:
JC=ZQ×(j1×BQ+j2×TS)
wherein j1 and j2 are proportionality coefficients which are larger than zero, j1 can take a value of 3.522, and j2 can take a value of 1.743;
it should be noted that, the teaching duration is a numerical value for integrating various data of a teacher during teaching of different teaching pages to integrally evaluate the teaching duration; the larger the teaching duration is, the worse the teaching duration of the corresponding teaching page is represented; the teaching duration can be used for evaluating the delay conditions of different teaching pages;
acquiring exercise weight TQ2 and exercise total number TZ2 in the exercise monitoring data when the teaching quality of the corresponding teaching page is acquired according to the exercise monitoring data;
acquiring the total number of mistakes made by different problems and marking as CR;
wherein, the total number of problems and the total number of mistakes made by different problems can be directly counted by an intelligent flat plate;
extracting the numerical values of all marked data, integrating the numerical values in parallel, and obtaining the influence factor YY of teaching through calculation; the calculation formula of the influence factor YY is:
；
wherein CR0 is the standard total number of mistakes made by different preset problems and is not zero;
the student integration data, the teaching duration JC and the influence factor YY are integrated simultaneously, and a teaching state estimation coefficient JZX corresponding to a teaching page is obtained through calculation; the calculation formula of the teaching state estimation coefficient JZX is as follows:
；
wherein c1, c2 and c3 are preset proportional coefficients which are all larger than zero, and the value ranges are all (0, 6), c1 can take on the value of 2.314, c2 can take on the value of 0.583, and c3 can take on the value of 1.475; beta is a learning compensation coefficient, the value range is (0, 5), and the value can be 1.2317; YY0 is a preset standard influence threshold, QR is the total number of students corresponding to the light label, ZR is the total number of students corresponding to the label, and BRO is a preset standard population threshold; the values of the standard influence threshold and the standard population threshold can be customized based on the actual scene;
it should be noted that the teaching state estimation coefficient is a numerical value for integrating various data of teaching of a teacher in different teaching pages to integrally estimate the teaching state of the teacher; the larger the teaching state estimation coefficient is, the worse the teaching state of the corresponding teaching page is represented;
analyzing and evaluating the real-time teaching state of a teacher according to the teaching state estimation coefficient, acquiring a corresponding teaching state estimation threshold according to a teaching page, and matching the teaching state estimation coefficient with the teaching state estimation threshold;
if the teaching state estimation coefficient is smaller than the teaching state estimation threshold value, judging that the teaching state of the corresponding teaching page is normal, generating a teaching positive signal, and associating the teaching positive label with the corresponding teaching page according to the teaching positive signal;
if the teaching state estimation coefficient is not smaller than the teaching state estimation threshold value and is not larger than P of the teaching state estimation threshold value, judging that the teaching state of the corresponding teaching page is slightly abnormal, generating a teaching light signal, and associating the teaching light signal with the teaching light label of the corresponding teaching page; p is a real number greater than one hundred;
if the teaching state estimation coefficient is larger than the P of the teaching state estimation threshold, judging that the teaching state of the corresponding teaching page is moderately abnormal, generating a teaching signal, and associating the corresponding teaching page with a teaching label according to the teaching signal;
the teaching state estimation coefficient and the corresponding teaching positive signal, teaching light signal and teaching middle signal form teaching analysis data;
in the embodiment of the invention, the teaching state of a teacher is integrally estimated by combining the teaching aspect data of the teaching page and the learning aspect data of the learner, and the teaching states of different teaching pages are analyzed, estimated and classified, so that reliable data support can be provided for the integral estimation of the subsequent teaching quality;
when the teaching quality of a teacher is integrally evaluated according to teaching analysis data, acquiring the total number of teaching light labels and the total number of teaching middle signals which are associated with teaching pages corresponding to the teaching light signals and the teaching middle signals in the teaching analysis data, and marking the teaching light labels and the total number of teaching middle signals as a first evaluation value Q1 and a second evaluation value Q2 respectively;
if Q1 is more than Q10 and Q2 is more than Q20, judging that the whole teaching quality implemented by the teacher is general;
if Q1 is more than Q10 or Q2 is more than Q20, judging that the whole teaching quality implemented by the teacher is medium;
if Q1 is less than or equal to Q10 and Q2 is less than or equal to Q20, judging that the whole teaching quality implemented by a teacher is excellent; q10 and Q20 are preset different quality assessment thresholds, and Q10 > Q20 > 0;
general, medium and excellent overall teaching quality constitutes quality assessment data; the overall teaching quality refers to the evaluation result of lessons so that teachers can adjust teaching modes and teaching contents of the lessons in a targeted manner;
the teaching analysis data and the quality evaluation data form a teaching integration set and are uploaded to a cloud platform and a database through 5G communication;
and the evaluation prompt module is used for carrying out feedback prompt on the teaching integration set to a teacher after the teaching is finished through the VR technology.
According to the embodiment of the invention, the teaching state evaluation results of different teaching pages of a teacher are combined to integrally evaluate the intelligent teaching of the teacher in class, and the overall effect of intelligent teaching quality evaluation can be effectively improved through modularized monitoring analysis and integration of the different teaching pages;
in addition, the formulas related in the above are all formulas with dimensions removed and numerical values calculated, and are a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the closest actual situation, and the proportionality coefficient in the formulas and each preset threshold value in the analysis process are set by a person skilled in the art according to the actual situation or are obtained by simulating a large amount of data; the size of the scaling factor is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the scaling factor depends on the number of sample data and the corresponding processing coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected.
In the several embodiments provided by the present invention, it should be understood that the disclosed system may be implemented in other ways. For example, the above-described embodiments of the invention are merely illustrative, and for example, the division of modules is merely a logical function division, and other manners of division may be implemented in practice.
The modules illustrated as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in hardware plus software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the essential characteristics thereof.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (9)
1. The intelligent teaching quality evaluation system based on the VR and 5G technology is characterized by comprising a monitoring statistics module, a monitoring integration module, an evaluation prompt module, a cloud platform and a database; the monitoring and statistics module is used for carrying out data statistics and preprocessing on the learning process of intelligent teaching to obtain a learner monitoring set; the intelligent teaching system comprises a teacher monitoring set, a data statistics unit, a preprocessing unit and a data processing unit, wherein the intelligent teaching system is used for carrying out data statistics and preprocessing on a teaching process of intelligent teaching to obtain the teacher monitoring set;
the monitoring integration module is used for integrating data of learning states of different students according to the student monitoring set to obtain student integration data;
the system comprises a teacher monitoring set, a quality evaluation set, a teaching analysis set and a data integration set, wherein the teacher monitoring set is used for integrating teaching states of a teacher according to the teacher monitoring set to obtain a teaching integration set containing teaching analysis data and quality evaluation data;
and the evaluation prompt module is used for carrying out feedback prompt on the teaching integration set to a teacher after the teaching is finished through the VR technology.
2. The intelligent teaching quality assessment system based on VR and 5G technology of claim 1, wherein the step of obtaining the trainee monitoring set comprises: acquiring teaching subjects implemented by intelligent teaching, matching the acquired teaching subjects with all teaching subjects prestored in a database to acquire corresponding subject weights, and marking;
obtaining the numbers of all students and marking; monitoring and counting the lesson-taking behaviors of the students in turn according to the numbers of the students; acquiring actively marked contents and problems of a student, respectively matching a plurality of marked contents and problems with a content weight table and a problem weight table prestored in a database to acquire corresponding content weights and problem weights, and respectively marking;
counting the total number of contents and the total number of exercises marked by a student and marking the contents and the total number of exercises respectively; counting the total gazing time length of a student gazing at a screen and the total leaving time length of a student leaving the screen, and marking the total gazing time length and the total leaving time length respectively; and (3) arranging and combining all marked data according to a preset sequence to obtain a trainee monitoring set, and uploading the trainee monitoring set to the cloud platform and the database through 5G communication.
3. The intelligent teaching quality assessment system based on VR and 5G technology of claim 2, wherein the step of obtaining the teacher monitoring set comprises: respectively setting a time point when a teacher starts teaching and a time point when the teacher ends teaching as a starting time point and an ending time point;
acquiring teaching titles and stay time lengths of different teaching pages in the teaching process of a teacher, matching the acquired teaching titles with a title weight table prestored in a database to acquire corresponding title weights and marking; marking the stay time of the teaching page; counting the total number of teaching pages and marking; arranging and combining all marked data according to a preset sequence to obtain teaching monitoring data;
monitoring and counting the question making conditions of students of different teaching pages to obtain question making monitoring data;
the teaching monitoring data and the question making monitoring data form a teacher monitoring set and are uploaded to the cloud platform and the database through 5G communication.
4. The intelligent teaching quality assessment system based on VR and 5G technology as set forth in claim 3, wherein the step of obtaining the learner integrated data comprises: obtaining topic weights, content weights, topic weights, total content, total topic numbers, total gazing duration and total leaving duration marked in a student monitoring set; the numerical values of all the marked data are extracted and combined in parallel to obtain the learning state estimation coefficient of the student.
5. The VR and 5G technology-based intelligent teaching quality assessment system according to claim 4, wherein when assessing a learner's learning state according to a learning state estimation coefficient, acquiring a learning state estimation threshold value pre-stored in a database according to a teaching subject, and matching the learning state estimation coefficient with the learning state estimation threshold value to obtain a state positive tag, a state light tag and a state middle tag;
the learning state estimation coefficient and the corresponding state positive label, state light label and state label form the student integrated data and are uploaded to the cloud platform and the database through 5G communication.
6. The intelligent teaching quality assessment system based on VR and 5G technology of claim 5, wherein the step of obtaining the teaching integration set comprises: acquiring teaching monitoring data and question making monitoring data in a teacher monitoring set; acquiring the title weight of the mark in the teaching monitoring data and the stay time of the teaching page; the numerical values of all the marked data are extracted and integrated in parallel to obtain the teaching duration of the teaching.
7. The VR and 5G technology-based intelligent teaching quality assessment system according to claim 6, wherein when the teaching quality of the corresponding teaching page is obtained according to the question monitoring data, the question weight and the total number of questions in the question monitoring data are obtained; acquiring and marking the total number of mistakes made by different exercises; extracting the numerical values of all marked data, and vertically integrating the numerical values to obtain the influence factors of teaching; and carrying out simultaneous integration on the learner integrated data, the teaching duration and the influence factors to obtain teaching state estimation coefficients corresponding to the teaching pages.
8. The VR and 5G technology-based intelligent teaching quality assessment system according to claim 7, wherein the real-time teaching state of the teacher is analyzed and assessed according to the teaching state estimation coefficients, the corresponding teaching state estimation threshold is obtained according to the teaching page, and the teaching state estimation coefficients are matched with the teaching state estimation threshold to obtain teaching analysis data including teaching positive signals, teaching light signals and teaching middle signals.
9. The VR and 5G technology-based intelligent teaching quality assessment system according to claim 8, wherein when the teaching quality of a teacher is overall assessed according to teaching analysis data, the total number of teaching light labels and the total number of teaching light labels associated with teaching pages corresponding to teaching light signals and teaching middle signals in the teaching analysis data are obtained and respectively matched with corresponding quality assessment thresholds for analysis, so as to obtain quality assessment data including general, medium and excellent overall teaching quality; the teaching analysis data and the quality evaluation data form a teaching integration set and are uploaded to a cloud platform and a database through 5G communication.
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