CN115983556A - Teacher course arrangement optimization method, system and storage medium - Google Patents

Teacher course arrangement optimization method, system and storage medium Download PDF

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CN115983556A
CN115983556A CN202211571594.2A CN202211571594A CN115983556A CN 115983556 A CN115983556 A CN 115983556A CN 202211571594 A CN202211571594 A CN 202211571594A CN 115983556 A CN115983556 A CN 115983556A
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CN115983556B (en
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陆然
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Beijing Layout Future Technology Development Co ltd
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Wuhan Zhuzhu Paradise Education Consulting Co ltd
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Abstract

The invention relates to the technical field of teacher course arrangement optimization, and particularly discloses a teacher course arrangement optimization method, a teacher course arrangement optimization system and a storage medium. On one hand, the classroom efficiency evaluation index of the current classroom corresponding to the target teacher is analyzed, so that the classroom state of the current classroom corresponding to the target teacher is obtained, the multidimensional analysis of the classroom state of the current classroom corresponding to the target teacher is realized, the precision and the reliability of the classroom state analysis result of the current classroom corresponding to the target teacher are greatly improved, and the scientificity and the effectiveness of the classroom state analysis corresponding to the target teacher are greatly met. On the other hand, the current class schedule corresponding to the target teacher and the current class schedule of the class students are obtained to obtain the class adjusting state and the class adjusting time period corresponding to the target teacher, so that an optimization basis is provided for the class scheduling schedule corresponding to the target teacher, and the rationality of the class scheduling schedule corresponding to the target teacher is greatly improved.

Description

Teacher course arrangement optimization method, system and storage medium
Technical Field
The invention relates to the technical field of teacher course arrangement optimization, in particular to a teacher course arrangement optimization method, a teacher course arrangement optimization system and a storage medium.
Background
As is well known, educational administration work usually aims to maintain the normal and stable teaching order and promote the comprehensive culture of talents. The course arrangement of teachers is the most important work in the teaching affair management work, bears the normal development of the teaching work, plays a role in guaranteeing a good teaching environment, promotes the culture and development of talents, and therefore highlights the importance of course arrangement of teachers.
The course is arranged to current primary school's course usually at first by arranging the teacher and setting up various basic condition of arranging the course, is arranged the course table by arranging the software generation of course again, though possesses certain intelligence and automation, has neglected to carry out the analysis to the student and corresponds the acceptance of arranging the course table, leads to classroom efficiency not high easily, and then can't effectively improve student's learning ability, and its concrete embodiment is in following aspect:
the performance states of students in a classroom can directly reflect the learning states of the students, when the optimized analysis is carried out on the course arrangement of teachers, the analysis on the concentration degree of attention of each student in the classroom is ignored, meanwhile, the analysis on the work completion state of each student is also ignored, the result of the analysis on the learning states of the students in the classroom is not accurate enough, the learning states of the students in the classroom cannot be reflected visually, the follow-up analysis on the classroom effect is not facilitated, and the error of the course arrangement optimization of the follow-up teachers is further caused.
The classroom teaching state is closely related to the learning state of students and the teaching state of teachers, and has important influence on school education and talent culture. When monitoring and analyzing the classroom teaching state at present, its monitoring analysis dimension is too single, leads to classroom teaching state monitoring analysis result to have one-sidedness and unicity, has reduced classroom teaching state monitoring analysis's precision and reliability, has further reduced the rationality and the scientificity that follow-up teacher arranged class schedule and transferred class.
Disclosure of Invention
In order to overcome the disadvantages in the background art, embodiments of the present invention provide a method, a system, and a storage medium for optimizing a course arrangement of a teacher, which can effectively solve the problems related to the background art.
The purpose of the invention can be realized by the following technical scheme: a teacher course arrangement optimization method comprises the following steps: 1. acquiring and analyzing historical scores of students: and acquiring historical results of the students in the current classroom corresponding to the target teacher, and analyzing the historical result evaluation indexes of the students in the current classroom corresponding to the target teacher.
2. Student attention acquisition analysis: and acquiring and analyzing the attention concentration ratios of the students in the current class corresponding to the target teacher to obtain the attention concentration evaluation index of the students in the current class corresponding to the target teacher.
3. And (3) obtaining and analyzing the feedback effect of the students: and obtaining and analyzing the homework feedback effect of each student in the current classroom corresponding to the target teacher to obtain the feedback effect evaluation index of each student in the current classroom corresponding to the target teacher.
4. Acquiring and analyzing the fatigue state of the teacher: and acquiring the current-day teaching information corresponding to the target teacher to obtain the current-day teaching information corresponding to the target teacher, and analyzing the fatigue state evaluation index of the current classroom corresponding to the target teacher.
5. Evaluation and analysis of teacher classroom state: and analyzing the classroom efficiency evaluation index of the target teacher corresponding to the current classroom to obtain the classroom efficiency evaluation index of the target teacher corresponding to the current classroom, analyzing the classroom state of the target teacher corresponding to the current classroom, and executing the sixth step if the classroom state of the target teacher corresponding to the current classroom is an abnormal state.
6. And (3) teacher lesson adjustment analysis and execution: and acquiring the class schedule corresponding to the target teacher, and acquiring the class schedule of the class-class student corresponding to the target teacher in the current class, so as to analyze the class adjusting state and the class adjusting period corresponding to the target teacher and perform corresponding class adjustment.
As a further improvement of the present invention, the historical result evaluation indexes of the students in the current classroom corresponding to the target teacher are analyzed, and the specific analysis mode is as follows: calculating the average value of the scores of the current course corresponding to the students corresponding to the target teacher to obtain the average score of the current course corresponding to the students corresponding to the target teacher, and recording the average score as the average score
Figure BDA0003987951300000031
i is the number of each student, i =1,2>
Figure BDA0003987951300000032
And &>
Figure BDA0003987951300000033
The historical performance evaluation index of the target teacher corresponding to each student in the current classroom is obtained through calculation and is recorded as delta i
As a further improvement of the present invention, the acquisition and analysis of the attention concentration ratios of the target teachers corresponding to the students in the current classroom is specifically performed in the following manner: the performance videos of the students in the class in the current class corresponding to the target teacher are monitored through the intelligent camera, and the performance videos of the students in the class in the current class corresponding to the target teacher are obtained.
Extracting head torsion behaviors of students in a class in the current class corresponding to a target teacher from the performance video of the students in the class in the current class corresponding to the target teacher to obtain the head torsion behaviors of the students in the class in the current class corresponding to the target teacher, matching the head torsion behaviors with the head torsion behaviors corresponding to various abnormal behaviors stored in a database, recording the head torsion behaviors as the abnormal behaviors if the head torsion behaviors are successfully matched, and counting the times of the abnormal behaviors of the students in the class in the current class corresponding to the target teacher and recording the times of the abnormal behaviors as the times of the abnormal behaviors
Figure BDA0003987951300000041
Extracting the duration of each abnormal behavior of each student in the class corresponding to the target teacher from the performance video of each student in the class corresponding to the target teacher, and recording the duration as ^ er>
Figure BDA0003987951300000042
r is indicated as the number of each abnormal behavior, r =1, 2.
Analyzing according to the same analysis mode to obtain the number of the multi-activity behaviors of each student in the classroom corresponding to the target teacher, and recording the number as
Figure BDA0003987951300000043
The slave target teacher corresponds to the current class of each studentExtracting the duration of the multi-action of each student in the classroom corresponding to the current classroom by the target teacher in the performance video of the classroom, and recording the duration as->
Figure BDA0003987951300000044
p is expressed as the number of each hyperactivity, p =1,2.
Comparing the historical performance evaluation index of each student in the current classroom corresponding to the target teacher with the historical performance evaluation index threshold corresponding to each set basic information evaluation level to obtain the basic information evaluation level of each student in the current classroom corresponding to the target teacher, and recording the number of allowed abnormal behaviors, the duration of allowed abnormal behaviors, the number of allowed multi-action behaviors and the duration of the number of allowed multi-action behaviors corresponding to each set basic information evaluation level as the duration of abnormal behaviors, the duration of allowed multi-action behaviors and the duration of allowed multi-action behaviors
Figure BDA0003987951300000045
According to the formula
Figure BDA0003987951300000046
Calculating the attention concentration evaluation index phi of the target teacher corresponding to each student in the current classroom i Expressed as the attention concentration assessment index of the ith student in the current classroom corresponding to the target teacher, e is expressed as a natural constant, a 3 、a 4 、a 5 、a 6 Respectively expressed as the number of abnormal behaviors, the duration of the abnormal behaviors, the number of the hyperactivity behaviors and the duration of the number of the hyperactivity behaviors.
As a further improvement of the present invention, the acquisition and analysis of the homework feedback effect of each student in the current classroom corresponding to the target teacher is specifically performed in the following manner: performing the classroom test on the students in the current classroom corresponding to the target teacher to obtain the answers of the students to the problems in the classroom test, extracting the quantity of the problems written and answered in the classroom test corresponding to the students from the answers, recording the quantity of the problems as the quantity of the problems answered in the classroom test corresponding to the students, and recording the quantity of the problems answered as F i
And splitting the sentence of the answer of each hall question in the hall test corresponding to each student to obtain a character set of the answer of each hall question in the hall test corresponding to each student, and recording the character set as the answer
Figure BDA0003987951300000051
j denotes the number of each hall question, j =1, 2.
Matching the character set of the corresponding answer of each hall question of each student in the hall test with the standard answer set of the corresponding hall question of the hall test stored in the database to obtain the matching degree of the corresponding answer of each hall question of each student in the hall test, and recording the matching degree as the corresponding answer of each hall question of each student in the hall test
Figure BDA0003987951300000052
Matching the historical result evaluation indexes of all students in the current classroom corresponding to the target teacher with the historical result evaluation index threshold values corresponding to all set evaluation levels to obtain the evaluation levels of all students in the current classroom corresponding to the target teacher, and recording the reference answer question number and the reference total answer matching degree corresponding to all set evaluation levels as F' i 、ε′ i
According to the formula
Figure BDA0003987951300000053
Calculating the feedback effect evaluation index of each student in the current classroom corresponding to the target teacher, and combining the index>
Figure BDA0003987951300000054
Expressed as a feedback effect evaluation index of the target teacher corresponding to the ith student in the current classroom, a 7 、a 8 And respectively expressing the evaluation factors corresponding to the number of the solved questions and the total answer matching degree.
As a further improvement of the present invention, the fatigue state assessment index of the target teacher corresponding to the current classroom is analyzed, and the specific analysis mode is as follows: extracting teaching information of the target teacher corresponding to the current classroom in the same day from teaching information of the target teacher corresponding to the current classroom in the same dayThe number of classes, the time of each class giving before the current class corresponding to the target teacher, and the rest time after each class giving before the current class corresponding to the target teacher are respectively recorded as Q Teaching lessons
Figure BDA0003987951300000061
f denotes the number of each lecture, and f =1,2.
And obtaining the fatigue state evaluation index of the target teacher corresponding to the current classroom through calculation, and recording the fatigue state evaluation index as gamma.
As a further improvement of the present invention, the classroom efficiency evaluation index of the target teacher corresponding to the current classroom is analyzed in the following specific analysis mode: and matching the attention concentration evaluation index of the target teacher corresponding to each student in the current classroom with the set attention concentration evaluation index threshold corresponding to each attention concentration level to obtain the attention concentration level of each student in the current classroom corresponding to the target teacher, and classifying and integrating the students with the same attention concentration level to obtain each student of each attention concentration level in the current classroom corresponding to the target teacher.
And extracting students with the lowest attention concentration level in the current classroom corresponding to the target teacher from the students with the attention concentration levels in the current classroom corresponding to the target teacher, and counting the number of the students with the lowest attention concentration level in the current classroom corresponding to the target teacher and recording the number as ZY.
Extracting the attention concentration evaluation indexes of the students with the lowest attention concentration level in the current classroom corresponding to the target teacher from the attention concentration evaluation indexes of the students with the lowest attention concentration level in the current classroom corresponding to the target teacher, accumulating the attention concentration evaluation indexes to obtain the comprehensive attention concentration evaluation indexes of the students with the lowest attention concentration level in the current classroom corresponding to the target teacher, and recording the comprehensive attention concentration evaluation indexes as
Figure BDA0003987951300000071
According to the same analysis mode, the number of students corresponding to the lowest feedback grade in the current class by the target teacher and the comprehensive feedback effect evaluation index of the students are respectively recorded as FK and FK
Figure BDA0003987951300000072
According to the formula
Figure BDA0003987951300000073
Calculating the classroom efficiency evaluation index of the target teacher corresponding to the current classroom, wherein eta is expressed as the classroom efficiency evaluation index of the target teacher corresponding to the current classroom, XS is expressed as the total number of students of the target teacher corresponding to the current classroom stored in the database, b 4 、b 5 、b 6 、b 7 、b 8 And the weight factors are respectively expressed as the set minimum attention concentration level student number, the comprehensive attention concentration evaluation index, the minimum feedback level student number, the comprehensive feedback effect evaluation index and the fatigue state evaluation index.
As a further improvement of the present invention, the classroom state of the target teacher corresponding to the current classroom is analyzed, and the specific analysis mode is as follows: and comparing the classroom efficiency evaluation index of the current classroom corresponding to the target teacher with a set classroom efficiency evaluation index threshold, and if the classroom efficiency evaluation index of the current classroom corresponding to the target teacher is smaller than the classroom efficiency evaluation index threshold, judging the classroom state of the current classroom corresponding to the target teacher as an abnormal state.
As a further improvement of the present invention, the course setting state and the course setting period corresponding to the target teacher are analyzed in a specific analysis manner: the method comprises the steps of extracting lesson-going periods of various interesting courses in a class-class school timetable corresponding to a class student in a current class from a target teacher, using the lesson-going periods as an adjustable course period set, extracting each vacant course period after the class student corresponding to the target teacher from the class-day school timetable corresponding to the target teacher, using the vacant periods as a vacant period set, judging a lesson-adjusting state corresponding to the target teacher through the adjustable course period set and the vacant period set, judging the lesson-adjusting state corresponding to the target teacher to be an adjustable state if the adjustable course period set intersects with the vacant period set, randomly selecting the adjustable course period from the intersection of each adjustable course period and each vacant period, recording the adjustable course period as a lesson-adjusting period corresponding to the target teacher as a lesson-giving period, and taking the lesson-giving period corresponding to the target teacher as a lesson-giving period of a next class corresponding to the target teacher.
The second aspect of the present invention provides a teacher course arrangement optimization system, including: and the student historical score acquisition and analysis module is used for acquiring the basic information of each student in the current classroom corresponding to the target teacher and analyzing the historical score evaluation index of each student in the current classroom corresponding to the target teacher.
And the student attention acquisition and analysis module is used for acquiring and analyzing the attention concentration ratios of the students in the current classroom corresponding to the target teacher to obtain the attention concentration evaluation indexes of the students in the current classroom corresponding to the target teacher.
And the student feedback effect acquisition and analysis module is used for acquiring and analyzing the homework feedback effect of each student in the current classroom corresponding to the target teacher to obtain the feedback effect evaluation index of each student in the current classroom corresponding to the target teacher.
And the teacher fatigue state acquisition and analysis module is used for acquiring the current classroom teaching information corresponding to the target teacher and analyzing the fatigue state evaluation index corresponding to the current classroom of the target teacher.
And the teacher classroom state evaluation and analysis module is used for analyzing the classroom state of the current classroom corresponding to the target teacher, and executing teacher class adjustment analysis and execution module if the classroom state of the current classroom corresponding to the target teacher is an abnormal state.
And the teacher lesson-adjusting analysis and execution module is used for analyzing lesson-adjusting states and lesson-adjusting periods corresponding to the target teacher and performing corresponding lesson adjustment.
And the database is used for storing head twisting behaviors corresponding to various abnormal behaviors and body twisting behaviors corresponding to various multi-activity behaviors, storing a standard answer set corresponding to various classroom problems in classroom tests and storing the total number of students in the current classroom corresponding to a target teacher.
The third aspect of the invention provides a teacher course arrangement optimization storage medium, wherein a computer program is burned in the teacher course arrangement optimization storage medium, and when the computer program runs in a memory of a server, the teacher course arrangement optimization method is realized.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects: according to the method and the device, the historical performance evaluation indexes of the students in the current classroom corresponding to the target teacher are analyzed, so that the attention concentration evaluation indexes and the feedback effect evaluation indexes of the students in the current classroom corresponding to the target teacher can be conveniently analyzed subsequently, and meanwhile, reliable data support is provided for the self-state analysis of the students in the current classroom corresponding to the target teacher.
According to the invention, through analyzing the attention concentration evaluation indexes of the students in the current class corresponding to the target teacher, the pertinence analysis of the attention of the students in the current class corresponding to the target teacher is realized, a reliable basis can be provided for the attention evaluation of the students in the current class corresponding to the target teacher, and meanwhile, the class listening state of each student in the current class can be intuitively reflected.
According to the invention, the feedback effect evaluation indexes of the target teacher corresponding to the students in the current classroom are analyzed, so that the knowledge drawing degree of the students corresponding to the current classroom can be obtained in time, and reliable data support is provided for the analysis of the subsequent classroom state.
According to the invention, the fatigue state evaluation index of the target teacher corresponding to the current classroom is analyzed, so that the condition that the subsequent classroom state is poor due to the influence of the fatigue state of the target teacher corresponding to the current classroom is effectively avoided.
According to the invention, the classroom state of the target teacher corresponding to the current classroom is obtained by analyzing the classroom efficiency evaluation index of the target teacher corresponding to the current classroom, so that the multidimensional analysis of the classroom state of the target teacher corresponding to the current classroom is realized, the accuracy and the reliability of the classroom state analysis result of the target teacher corresponding to the current classroom are greatly improved, and the scientificity and the effectiveness of the classroom state analysis of the target teacher corresponding to the current classroom are greatly satisfied.
According to the invention, the course adjusting state and the course adjusting time period corresponding to the target teacher are obtained by acquiring the current-day class schedule corresponding to the target teacher and the current-day class schedules of the class students, so that an optimization basis is provided for the course arrangement schedule corresponding to the target teacher, and the rationality of the course arrangement schedule corresponding to the target teacher is greatly improved.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a flow chart illustrating the steps of the method of the present invention.
FIG. 2 is a schematic diagram of the system module connection according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a first aspect of the present invention provides a teacher course arrangement optimization method, including the following steps: 1. acquiring and analyzing historical scores of students: and acquiring historical results of the students in the current classroom corresponding to the target teacher, and analyzing the historical result evaluation indexes of the students in the current classroom corresponding to the target teacher.
As a further improvement of the present invention, the historical performance evaluation indexes of the students in the current classroom corresponding to the target teacher are analyzed, and the specific analysis mode is as follows: calculating the average value of the scores of the current course corresponding to the students corresponding to the target teacher to obtain the average score of the current course corresponding to the students corresponding to the target teacher, and recording the average score as the average score
Figure BDA0003987951300000111
i represents the number of each student, i =1, 2.. So, n, and the highest score and the lowest score are extracted from the scores of each student corresponding to the target teacher and corresponding to each history in the current course and are recorded as &>
Figure BDA0003987951300000112
And &>
Figure BDA0003987951300000113
The historical performance evaluation index of the target teacher corresponding to each student in the current classroom is obtained through calculation and is recorded as delta i
It is to be noted that, according to the formula
Figure BDA0003987951300000114
Calculating the historical score evaluation index a of each student in the current classroom corresponding to the target teacher 1 、a 2 And respectively representing the evaluation factors corresponding to the set highest achievement and the set lowest achievement.
In a specific embodiment, the evaluation indexes of the historical performances of the students in the current class corresponding to the target teacher are analyzed, so that the attention concentration evaluation indexes and the feedback effect evaluation indexes of the students in the current class corresponding to the target teacher can be conveniently analyzed subsequently, and meanwhile, reliable data support is provided for the self-state analysis of the students in the current class corresponding to the target teacher.
2. Student attention acquisition analysis: and acquiring and analyzing the attention concentration ratios of the students in the current class corresponding to the target teacher to obtain the attention concentration evaluation index of the students in the current class corresponding to the target teacher.
As a further improvement of the present invention, the acquisition and analysis of the attention concentration ratios of the target teachers corresponding to the students in the current classroom is specifically performed in the following manner: and monitoring the classroom performance video of each student in the current classroom corresponding to the target teacher through the intelligent camera to obtain classroom performance video of each student in the current classroom corresponding to the target teacher.
Extracting head torsion behaviors of students in a class in the current class corresponding to a target teacher from the performance video of the students in the class in the current class corresponding to the target teacher to obtain the head torsion behaviors of the students in the class in the current class corresponding to the target teacher, matching the head torsion behaviors with the head torsion behaviors corresponding to various abnormal behaviors stored in a database, recording the head torsion behaviors as the abnormal behaviors if the head torsion behaviors are successfully matched, and counting the times of the abnormal behaviors of the students in the class in the current class corresponding to the target teacher and recording the times of the abnormal behaviors as the times of the abnormal behaviors
Figure BDA0003987951300000121
Extracting duration of abnormal behaviors of each student in the class corresponding to the target teacher from the performance video of each student in the current class corresponding to the target teacher, and recording the duration as->
Figure BDA0003987951300000122
r is expressed as the number of each abnormal behavior, r =1, 2.
Analyzing according to the same analysis mode to obtain the number of the hyperactivity of each student in the class corresponding to the current class by the target teacher, and recording the number as
Figure BDA0003987951300000123
Extracting the duration of the multi-action of each student in the class corresponding to the target teacher from the performance video of each student in the class corresponding to the target teacher, and recording the duration as ^ er>
Figure BDA0003987951300000124
p is expressed as the number of each hyperactivity, p =1,2.
It should be noted that, the target teacher corresponds to the number of times of the hyperactivity of each student in the current classroom, and the analysis mode is as follows: and extracting body twisting behaviors of students in the class in the current class corresponding to the target teacher from the performance video of the students in the class in the current class corresponding to the target teacher, obtaining the body twisting behaviors of the students in the class in the current class corresponding to the target teacher, matching the body twisting behaviors with the body twisting behaviors corresponding to the various multi-movement behaviors stored in the database, recording the body twisting behaviors as the multi-movement behaviors if the matching of a certain body twisting behavior is successful, and counting the times of the multi-movement behaviors of the students in the class corresponding to the target teacher.
Comparing the historical score evaluation index of each student in the current classroom corresponding to the target teacher with the historical score evaluation index threshold corresponding to each set basic information evaluation level to obtain the basic information evaluation level of each student in the current classroom corresponding to the target teacher, and recording the number of allowable abnormal behaviors, the duration of allowable abnormal behaviors, the number of allowable hyperactivity behaviors and the duration of allowable hyperactivity corresponding to each set basic information evaluation level as the duration of allowable abnormal behaviors, the duration of allowable hyperactivity, and the duration of allowable hyperactivity
Figure BDA0003987951300000131
According to the formula
Figure BDA0003987951300000132
Calculating the attention concentration evaluation index phi of each student in the current class corresponding to the target teacher i Expressed as the attention concentration assessment index of the ith student in the current classroom corresponding to the target teacher, e is expressed as a natural constant, a 3 、a 4 、a 5 、a 6 Respectively expressed as the number of abnormal behaviors, the duration of the abnormal behaviors, the number of the hyperactivity behaviors and the duration of the number of the hyperactivity behaviors.
In a specific embodiment, the attention concentration evaluation indexes of the students in the current class corresponding to the target teacher are analyzed, so that the specific analysis of the attention of the students in the current class corresponding to the target teacher is realized, a reliable basis can be provided for the attention evaluation of the students in the current class corresponding to the target teacher, and meanwhile, the listening states of the students in the current class can be intuitively reflected.
3. And (3) obtaining and analyzing the feedback effect of the students: and obtaining and analyzing the homework feedback effect of each student in the current classroom corresponding to the target teacher to obtain the feedback effect evaluation index of each student in the current classroom corresponding to the target teacher.
As a further improvement of the present invention, the acquisition and analysis of the homework feedback effect of each student in the current classroom corresponding to the target teacher is specifically performed in the following manner: performing the classroom test on the students in the current classroom corresponding to the target teacher to obtain the answers of the students to the problems in the classroom test, extracting the quantity of the problems written and answered in the classroom test corresponding to the students from the answers, recording the quantity of the problems as the quantity of the problems answered in the classroom test corresponding to the students, and recording the quantity of the problems answered as F i
And splitting the sentence of the answer of each hall question in the hall test corresponding to each student to obtain a character set of the answer of each hall question of each student in the hall test, and recording the character set as the answer
Figure BDA0003987951300000141
j is denoted as the number of each hall question, j =1, 2.
Matching the character set of the corresponding answer of each hall question of each student in the hall test with the standard answer set of the corresponding hall question of the hall test stored in the database to obtain the matching degree of the corresponding answer of each hall question of each student in the hall test, and recording the matching degree as the corresponding answer of each hall question of each student in the hall test
Figure BDA0003987951300000142
It should be noted that, the specific calculation formula of the matching degree of the corresponding answers of the problems in the hall test of each student is
Figure BDA0003987951300000143
Figure BDA0003987951300000144
Expressed as the degree of match of the corresponding answer of the jth student in the ith student in the Hall test, E j ' expressed as a set of standard answers to the jth Hall question for the Hall test.
Matching the historical result evaluation index of each student in the current classroom corresponding to the target teacher with the historical result evaluation index threshold corresponding to each set evaluation grade to obtain the evaluation grade of each student in the current classroom corresponding to the target teacher, and recording the reference answer question number and the reference total answer matching degree corresponding to each set evaluation grade as F' i 、ε′ i
According to the formula
Figure BDA0003987951300000151
Calculating the feedback effect evaluation index of the target teacher corresponding to each student in the current classroom, and then judging whether the target teacher is in the classroom>
Figure BDA0003987951300000152
Expressed as a feedback effect evaluation index, a, of the target teacher to the ith student in the current classroom 7 、a 8 And respectively expressing the evaluation factors corresponding to the number of the solved questions and the total answer matching degree.
In a specific embodiment, the feedback effect evaluation indexes of the students in the current classroom corresponding to the target teacher are analyzed, so that the knowledge drawing degree of the students in the current classroom can be obtained in time, and reliable data support is provided for the analysis of the subsequent classroom state.
4. Acquiring and analyzing the fatigue state of the teacher: and acquiring the current-day teaching information corresponding to the target teacher to obtain the current-day teaching information corresponding to the target teacher, and analyzing the fatigue state evaluation index of the current classroom corresponding to the target teacher.
It should be noted that the current day teaching information of the current classroom corresponding to the target teacher includes: the target teacher corresponds to the number of times of giving lessons before the current classroom, the target teacher corresponds to the time length of giving lessons before the current classroom, and the target teacher corresponds to the time length of rest after each time of giving lessons before the current classroom.
As a further improvement of the present invention, the fatigue state assessment index of the target teacher corresponding to the current classroom is analyzed, and the specific analysis mode is as follows: from the eye to the eyeExtracting the times of teaching before the current classroom by the target teacher, the teaching time length before the current classroom by the target teacher and the rest time length after the current classroom by the target teacher from the information of teaching in the same day of the current classroom, and recording the times of teaching, the teaching time length and the rest time length as Q respectively Teaching lessons
Figure BDA0003987951300000161
f denotes the number of each lecture, and f =1,2.
And obtaining the fatigue state evaluation index of the target teacher corresponding to the current classroom through calculation, and recording the fatigue state evaluation index as gamma.
It is to be noted that, according to the formula
Figure BDA0003987951300000162
Calculating a fatigue state evaluation index Q 'of the target teacher corresponding to the current classroom' Teaching lessons 、T′ Teaching lessons 、T′ Rest for taking a rest Respectively expressed as the reference teaching times, the reference teaching time and the reference rest time after teaching of the current classroom corresponding to the set target teacher, b 1 、b 2 、b 3 Respectively expressed as the corresponding influence factors of the set teaching times, the teaching duration and the rest duration.
In a specific embodiment, the fatigue state evaluation index of the target teacher corresponding to the current classroom is analyzed, so that the condition that the subsequent classroom state is poor due to the influence of the fatigue state of the target teacher corresponding to the current classroom is effectively avoided.
5. Evaluation and analysis of teacher classroom state: and analyzing the classroom efficiency evaluation index of the target teacher corresponding to the current classroom to obtain the classroom efficiency evaluation index of the target teacher corresponding to the current classroom, analyzing the classroom state of the target teacher corresponding to the current classroom, and executing the sixth step if the classroom state of the target teacher corresponding to the current classroom is an abnormal state.
As a further improvement of the present invention, the classroom efficiency assessment index corresponding to the current classroom by the target teacher is analyzed in the following specific analysis mode: and matching the attention concentration evaluation index of each student in the current classroom corresponding to the target teacher with the set attention concentration evaluation index threshold corresponding to each attention concentration level to obtain the attention concentration level of each student in the current classroom corresponding to the target teacher, and classifying and integrating the students with the same attention concentration level to obtain each student of each attention concentration level in the current classroom corresponding to the target teacher.
And extracting students with the lowest attention concentration level in the current class corresponding to the target teacher from the students with the attention concentration levels in the current class corresponding to the target teacher, counting the number of the students with the lowest attention concentration level in the current class corresponding to the target teacher according to the number, and recording the number as ZY.
Extracting the attention concentration evaluation indexes of the students with the lowest attention concentration level in the current classroom corresponding to the target teacher from the attention concentration evaluation indexes of the students with the lowest attention concentration level in the current classroom corresponding to the target teacher, accumulating the attention concentration evaluation indexes to obtain the comprehensive attention concentration evaluation indexes of the students with the lowest attention concentration level in the current classroom corresponding to the target teacher, and recording the comprehensive attention concentration evaluation indexes as
Figure BDA0003987951300000171
According to the same analysis mode, the number of students corresponding to the lowest feedback grade in the current class by the target teacher and the comprehensive feedback effect evaluation index of the students are respectively recorded as FK and FK
Figure BDA0003987951300000172
It should be noted that, for the number of students with the lowest feedback level and the comprehensive feedback effect evaluation index in the current classroom corresponding to the target teacher, the specific analysis mode is as follows: and matching the feedback effect evaluation index of each student in the current classroom corresponding to the target teacher with the set feedback effect evaluation index threshold corresponding to each feedback grade to obtain the feedback grade corresponding to each student in the current classroom corresponding to the target teacher, and classifying and integrating the students with the same feedback grade to obtain each student corresponding to each feedback grade in the current classroom corresponding to the target teacher.
And extracting students with the lowest feedback grade in the current classroom corresponding to the target teacher from the students with the lowest feedback grade in the current classroom corresponding to the target teacher, and counting the number of the students with the lowest feedback grade in the current classroom corresponding to the target teacher in sequence.
And extracting the feedback effect evaluation indexes of the students with the lowest feedback levels in the current class corresponding to the target teacher from the feedback effect evaluation indexes of the students with the lowest feedback levels in the current class corresponding to the target teacher, and accumulating the feedback effect evaluation indexes to obtain the comprehensive feedback effect evaluation index of the lowest feedback levels in the current class corresponding to the target teacher.
According to the formula
Figure BDA0003987951300000181
Calculating the classroom efficiency evaluation index of the target teacher corresponding to the current classroom, wherein eta is expressed as the classroom efficiency evaluation index of the target teacher corresponding to the current classroom, XS is expressed as the total number of students of the target teacher corresponding to the current classroom stored in the database, b 4 、b 5 、b 6 、b 7 、b 8 And the weight factors are respectively expressed as the set minimum attention concentration level student number, the comprehensive attention concentration evaluation index, the minimum feedback level student number, the comprehensive feedback effect evaluation index and the fatigue state evaluation index.
In a specific embodiment, the classroom efficiency evaluation index of the current classroom corresponding to the target teacher is analyzed, so that the classroom state of the current classroom corresponding to the target teacher is obtained, the multidimensional analysis of the classroom state of the current classroom corresponding to the target teacher is realized, the precision and the reliability of the classroom state analysis result of the current classroom corresponding to the target teacher are greatly improved, and the scientificity and effectiveness of the classroom state analysis of the current classroom corresponding to the target teacher are greatly met.
As a further improvement of the present invention, the classroom state of the target teacher corresponding to the current classroom is analyzed, and the specific analysis mode is as follows: and comparing the classroom efficiency evaluation index of the current classroom corresponding to the target teacher with a set classroom efficiency evaluation index threshold, and if the classroom efficiency evaluation index of the current classroom corresponding to the target teacher is smaller than the classroom efficiency evaluation index threshold, judging the classroom state of the current classroom corresponding to the target teacher as an abnormal state.
6. And (3) teacher lesson adjustment analysis and execution: and acquiring the class schedule corresponding to the target teacher, and acquiring the class schedule corresponding to the class-class student of the current class corresponding to the target teacher, so as to analyze the class adjusting state and the class adjusting period corresponding to the target teacher and perform corresponding class adjustment.
As a further improvement of the present invention, the course setting state and the course setting period corresponding to the target teacher are analyzed in a specific analysis manner: the method comprises the steps of extracting lesson-going periods of various interesting courses in a class-class school timetable corresponding to a class student in a current class from a target teacher, using the lesson-going periods as an adjustable course period set, extracting each vacant course period after the class student corresponding to the target teacher from the class-day school timetable corresponding to the target teacher, using the vacant periods as a vacant period set, judging a lesson-adjusting state corresponding to the target teacher through the adjustable course period set and the vacant period set, judging the lesson-adjusting state corresponding to the target teacher to be an adjustable state if the adjustable course period set intersects with the vacant period set, randomly selecting the adjustable course period from the intersection of each adjustable course period and each vacant period, recording the adjustable course period as a lesson-adjusting period corresponding to the target teacher as a lesson-giving period, and taking the lesson-giving period corresponding to the target teacher as a lesson-giving period of a next class corresponding to the target teacher.
In a specific embodiment, the current-day class schedule corresponding to the target teacher and the current-day class schedules of class students are obtained to obtain the course adjusting state and the course adjusting time period corresponding to the target teacher, so that an optimization basis is provided for the course arrangement schedule corresponding to the target teacher, and the rationality of the course arrangement schedule corresponding to the target teacher is greatly improved.
Referring to fig. 2, a second aspect of the present invention provides a teacher course arrangement optimization system, including: the teaching aid comprises a student historical score acquisition and analysis module, a student attention acquisition and analysis module, a student feedback effect acquisition and analysis module, a teacher fatigue state acquisition and analysis module, a teacher classroom state evaluation and analysis module, a teacher lesson adjustment analysis and execution module and a database.
The student historical score acquisition and analysis module is respectively connected with the student feedback effect acquisition and analysis module and the teacher fatigue state acquisition and analysis module, the student attention acquisition and analysis module is respectively connected with the teacher classroom state evaluation and analysis module and the database, the student feedback effect acquisition and analysis module is respectively connected with the teacher classroom state evaluation and analysis module and the database, the teacher fatigue state acquisition and analysis module is connected with the teacher classroom state evaluation and analysis module, and the teacher classroom state evaluation and analysis module is respectively connected with the teacher lesson adjustment analysis and execution module and the database.
The student historical score acquisition and analysis module is used for acquiring the basic information of each student in the current classroom corresponding to the target teacher and analyzing the historical score evaluation index of each student in the current classroom corresponding to the target teacher;
the student attention acquisition and analysis module is used for acquiring and analyzing the attention concentration ratios of the students in the current classroom corresponding to the target teacher to obtain the attention concentration evaluation indexes of the students in the current classroom corresponding to the target teacher;
the student feedback effect acquisition and analysis module is used for acquiring and analyzing the homework feedback effect of each student in the current classroom corresponding to the target teacher to obtain the feedback effect evaluation index of each student in the current classroom corresponding to the target teacher;
the teacher fatigue state acquisition and analysis module is used for acquiring the current class teaching information corresponding to the target teacher and analyzing the fatigue state evaluation index corresponding to the current class of the target teacher;
the teacher classroom state evaluation and analysis module is used for analyzing the classroom state of the current classroom corresponding to the target teacher, and executing teacher class adjustment analysis and execution module if the classroom state of the current classroom corresponding to the target teacher is an abnormal state;
the teacher lesson-adjusting analysis and execution module is used for analyzing lesson-adjusting states and lesson-adjusting periods corresponding to the target teacher and carrying out corresponding lesson adjustment;
and the database is used for storing head twisting behaviors corresponding to various abnormal behaviors and body twisting behaviors corresponding to various multi-action behaviors, storing a standard answer set corresponding to each class question in a class test, and storing the total number of students corresponding to the current class by a target teacher.
The invention provides a teacher course arrangement optimization storage medium, wherein a computer program is burnt on the teacher course arrangement optimization storage medium, and the computer program realizes the teacher course arrangement optimization method when running in the memory of the server.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.

Claims (10)

1. A teacher course arrangement optimization method is characterized by comprising the following steps:
1. acquiring and analyzing historical scores of students: acquiring historical scores of students in a current classroom corresponding to a target teacher, and analyzing historical score evaluation indexes of the students in the current classroom corresponding to the target teacher;
2. student attention acquisition analysis: acquiring and analyzing the attention concentration ratios of the students in the current classroom corresponding to the target teacher to obtain the attention concentration evaluation index of the students in the current classroom corresponding to the target teacher;
3. and (3) obtaining and analyzing the feedback effect of the students: acquiring and analyzing the work feedback effect of each student in the current classroom corresponding to the target teacher to obtain the feedback effect evaluation index of each student in the current classroom corresponding to the target teacher;
4. acquiring and analyzing the fatigue state of the teacher: acquiring the current-day teaching information corresponding to the target teacher to obtain the current-day teaching information corresponding to the target teacher, and analyzing the fatigue state evaluation index of the current classroom corresponding to the target teacher;
5. teacher classroom state evaluation and analysis: analyzing the classroom efficiency evaluation index of the target teacher corresponding to the current classroom to obtain the classroom efficiency evaluation index of the target teacher corresponding to the current classroom, analyzing the classroom state of the target teacher corresponding to the current classroom, and executing the sixth step if the classroom state of the target teacher corresponding to the current classroom is an abnormal state;
6. and (3) teacher lesson-adjusting analysis and execution: and acquiring the class schedule corresponding to the target teacher, and acquiring the class schedule corresponding to the class-class student of the current class corresponding to the target teacher, so as to analyze the class adjusting state and the class adjusting period corresponding to the target teacher and perform corresponding class adjustment.
2. The teacher course scheduling optimization method of claim 1, wherein: the historical result evaluation indexes of the students in the current classroom corresponding to the target teacher are analyzed, and the specific analysis mode is as follows:
calculating the average value of the scores of the current course corresponding to the students corresponding to the target teacher to obtain the average score of the current course corresponding to the students corresponding to the target teacher, and recording the average score as the average score
Figure FDA0003987951290000021
i represents the number of each student, i =1, 2.. So, n, and the highest score and the lowest score are extracted from the scores of each student corresponding to the target teacher and corresponding to each history in the current course and are recorded as &>
Figure FDA0003987951290000022
And &>
Figure FDA0003987951290000023
The historical performance evaluation index of the target teacher corresponding to each student in the current classroom is obtained through calculation and is recorded as delta i
3. The teacher course scheduling optimization method of claim 1, wherein: the attention concentration ratios of the students in the current classroom corresponding to the target teacher are obtained and analyzed, and the specific obtaining and analyzing modes are as follows:
monitoring the classroom performance video of each student in the current classroom corresponding to the target teacher through the intelligent camera to obtain classroom performance video of each student in the current classroom corresponding to the target teacher;
extracting head torsion behaviors of students in a current class corresponding to a target teacher from a performance video of the students in the current class corresponding to the target teacher, obtaining the head torsion behaviors of the students in the current class corresponding to the target teacher, matching the head torsion behaviors with the head torsion behaviors corresponding to various abnormal behaviors stored in a database, recording the head torsion behaviors as abnormal behaviors if the head torsion behaviors are successfully matched, and counting the times of the abnormal behaviors of the students in the current class corresponding to the target teacher according to the statistics and recording the times of the abnormal behaviors of the students in the current class corresponding to the target teacher as abnormal behaviors
Figure FDA0003987951290000024
Extracting the duration of each abnormal behavior of each student in the class corresponding to the target teacher from the performance video of each student in the class corresponding to the target teacher, and recording the duration as ^ er>
Figure FDA0003987951290000031
r is expressed as the number of each abnormal behavior, r =1, 2.... Q;
analyzing according to the same analysis mode to obtain the number of the multi-activity behaviors of each student in the classroom corresponding to the target teacher, and recording the number as
Figure FDA0003987951290000032
Extracting the duration of the multi-action of each student in the class corresponding to the target teacher from the performance video of each student in the class corresponding to the target teacher, and recording the duration as ^ er>
Figure FDA0003987951290000033
p is expressed as the number of each hyperactivity, p =1, 2.... Y; />
Comparing the historical score evaluation index of each student in the current classroom corresponding to the target teacher with the historical score evaluation index threshold corresponding to each set basic information evaluation level to obtain the basic information evaluation level of each student in the current classroom corresponding to the target teacher, and recording the number of allowable abnormal behaviors, the duration of allowable abnormal behaviors, the number of allowable hyperactivity behaviors and the duration of allowable hyperactivity corresponding to each set basic information evaluation level as the duration of allowable abnormal behaviors, the duration of allowable hyperactivity, and the duration of allowable hyperactivity
Figure FDA0003987951290000034
According to the formula
Figure FDA0003987951290000035
Calculating the attention concentration evaluation index phi of each student in the current class corresponding to the target teacher i Expressed as the attention concentration assessment index of the ith student in the current classroom corresponding to the target teacher, e is expressed as a natural constant, a 3 、a 4 、a 5 、a 6 Respectively expressed as the number of abnormal behaviors, the duration of the abnormal behaviors, the number of the hyperactivity behaviors and the duration of the number of the hyperactivity behaviors.
4. The teacher course scheduling optimization method of claim 1, wherein: the method comprises the following steps of obtaining and analyzing the homework feedback effect of each student in the current classroom corresponding to a target teacher, wherein the specific obtaining and analyzing mode is as follows:
performing a class test on each student in the current class corresponding to the target teacher to obtain the answer of each class problem in the class test corresponding to each student, extracting the number of the class problems written in the class test corresponding to each student from the answer, recording the number of the answer problems as the number of the answer problems of the class test corresponding to each student, and recording the number of the answer problems as F i
And make each student pairSplitting sentences according to the answers of all the hall questions in the hall test to obtain a character set of the corresponding answers of all the hall questions of all the students in the hall test, and recording the character set as the corresponding answer
Figure FDA0003987951290000041
j is denoted as the number of each hall question, j =1, 2.... M;
matching the character set corresponding to the answer of each hall question of each student in the hall test with the standard answer set corresponding to each hall question of the hall test and stored in the database to obtain the matching degree of the corresponding answer of each hall question of each student in the hall test, and recording the matching degree as the matching degree
Figure FDA0003987951290000042
Matching the historical result evaluation index of each student in the current classroom corresponding to the target teacher with the historical result evaluation index threshold corresponding to each set evaluation grade to obtain the evaluation grade of each student in the current classroom corresponding to the target teacher, and recording the reference answer question number and the reference total answer matching degree corresponding to each set evaluation grade as F i ′、ε i ′;
According to the formula
Figure FDA0003987951290000043
Calculating the feedback effect evaluation index of the target teacher corresponding to each student in the current classroom, and then judging whether the target teacher is in the classroom>
Figure FDA0003987951290000044
Expressed as a feedback effect evaluation index, a, of the target teacher to the ith student in the current classroom 7 、a 8 And respectively expressing the evaluation factors corresponding to the number of the solved questions and the total answer matching degree.
5. The teacher course scheduling optimization method of claim 1, wherein: the fatigue state evaluation index of the target teacher corresponding to the current classroom is analyzed, and the specific analysis mode is as follows:
extracting the times of teaching of the target teacher corresponding to the current classroom, the teaching time of each teaching of the target teacher corresponding to the current classroom and the rest time of each teaching of the target teacher corresponding to the current classroom from the information of the teaching of the target teacher in the same day, and respectively recording the times as Q Teaching lessons
Figure FDA0003987951290000051
f denotes the number of each lecture, f =1, 2.... G; />
And obtaining the fatigue state evaluation index of the target teacher corresponding to the current classroom through calculation, and recording the fatigue state evaluation index as gamma.
6. The teacher course scheduling optimization method according to claim 1, wherein: the classroom efficiency evaluation index of the current classroom corresponding to the target teacher is analyzed, and the specific analysis mode is as follows:
matching the attention concentration evaluation index of each student in the current class corresponding to the target teacher with the set attention concentration evaluation index threshold corresponding to each attention concentration level to obtain the attention concentration level of each student in the current class corresponding to the target teacher, and classifying and integrating the students in the same attention concentration level to obtain each student in each attention concentration level corresponding to the current class corresponding to the target teacher;
extracting students with the lowest attention concentration level in the current classroom corresponding to the target teacher from the students with the attention concentration levels in the current classroom corresponding to the target teacher, and counting the number of the students with the lowest attention concentration level in the current classroom corresponding to the target teacher and recording the number as ZY;
extracting the attention concentration evaluation indexes of the students with the lowest attention concentration level in the current classroom corresponding to the target teacher from the attention concentration evaluation indexes of the students with the lowest attention concentration level in the current classroom corresponding to the target teacher, accumulating the attention concentration evaluation indexes to obtain the comprehensive attention concentration evaluation indexes of the students with the lowest attention concentration level in the current classroom corresponding to the target teacher, and recording the comprehensive attention concentration evaluation indexes as
Figure FDA0003987951290000061
According to the same analysis mode, the number of students corresponding to the lowest feedback grade in the current class by the target teacher and the comprehensive feedback effect evaluation index of the students are respectively recorded as FK and FK
Figure FDA0003987951290000062
According to the formula
Figure FDA0003987951290000063
Calculating a classroom efficiency evaluation index of a target teacher corresponding to the current classroom, wherein eta represents the classroom efficiency evaluation index of the target teacher corresponding to the current classroom, XS represents the total number of students of the target teacher corresponding to the current classroom stored in a database, b 4 、b 5 、b 6 、b 7 、b 8 And the weight factors are respectively expressed as the set minimum attention concentration level student number, the comprehensive attention concentration evaluation index, the minimum feedback level student number, the comprehensive feedback effect evaluation index and the fatigue state evaluation index.
7. The teacher course scheduling optimization method of claim 1, wherein: the classroom state of the current classroom corresponding to the target teacher is analyzed, and the specific analysis mode is as follows: and comparing the classroom efficiency evaluation index of the current classroom corresponding to the target teacher with a set classroom efficiency evaluation index threshold, and if the classroom efficiency evaluation index of the current classroom corresponding to the target teacher is smaller than the classroom efficiency evaluation index threshold, judging the classroom state of the current classroom corresponding to the target teacher as an abnormal state.
8. The teacher course scheduling optimization method of claim 1, wherein: the course adjusting state and the course adjusting period corresponding to the target teacher are analyzed, and the specific analysis mode is as follows: the method comprises the steps of extracting lesson-going periods of various interesting courses in a class-class school timetable corresponding to a class student in a current class from a target teacher, using the lesson-going periods as an adjustable course period set, extracting each vacant course period after the class student corresponding to the target teacher from the class-day school timetable corresponding to the target teacher, using the vacant periods as a vacant period set, judging a lesson-adjusting state corresponding to the target teacher through the adjustable course period set and the vacant period set, judging the lesson-adjusting state corresponding to the target teacher to be an adjustable state if the adjustable course period set intersects with the vacant period set, randomly selecting the adjustable course period from the intersection of each adjustable course period and each vacant period, recording the adjustable course period as a lesson-adjusting period corresponding to the target teacher as a lesson-giving period, and taking the lesson-giving period corresponding to the target teacher as a lesson-giving period of a next class corresponding to the target teacher.
9. A teacher course arrangement optimization system is characterized in that: the method comprises the following steps:
the student historical score acquisition and analysis module is used for acquiring basic information of each student in the current classroom corresponding to the target teacher and analyzing historical score evaluation indexes of each student in the current classroom corresponding to the target teacher;
the student attention acquisition and analysis module is used for acquiring and analyzing the attention concentration ratios of the students in the current classroom corresponding to the target teacher to obtain the attention concentration evaluation indexes of the students in the current classroom corresponding to the target teacher;
the student feedback effect acquisition and analysis module is used for acquiring and analyzing the homework feedback effect of each student in the current classroom corresponding to the target teacher to obtain the feedback effect evaluation index of each student in the current classroom corresponding to the target teacher;
the teacher fatigue state acquisition and analysis module is used for acquiring the current class teaching information corresponding to the target teacher and analyzing the fatigue state evaluation index corresponding to the current class of the target teacher;
the teacher classroom state evaluation and analysis module is used for analyzing the classroom state of the current classroom corresponding to the target teacher, and executing teacher class adjustment analysis and execution module if the classroom state of the current classroom corresponding to the target teacher is an abnormal state;
the teacher lesson-adjusting analysis and execution module is used for analyzing lesson-adjusting states and lesson-adjusting periods corresponding to the target teacher and performing corresponding lesson adjustment;
and the database is used for storing head twisting behaviors corresponding to various abnormal behaviors and body twisting behaviors corresponding to various multi-activity behaviors, storing a standard answer set corresponding to various classroom problems in classroom tests and storing the total number of students in the current classroom corresponding to a target teacher.
10. A teacher course arrangement optimization storage medium is characterized in that: the optimized teacher course arrangement storage medium is burned with a computer program, and the computer program is run in a memory of a server to realize the optimized teacher course arrangement method of any one of claims 1-8.
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