CN110059978B - Teacher evaluation system based on cloud computing auxiliary teaching evaluation - Google Patents
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Abstract
The invention discloses a teacher evaluation system based on cloud computing assisted teaching evaluation, which comprises an account login port, an account detection module, an account registration unit, an account verification unit, a processor, a classroom efficiency monitoring module, an identification statistics module, a student evaluation module, a comprehensive data analysis module, a teacher rating module and a teacher opinion acquisition module, wherein the account login port is used for logging in account information, the account login information transmits the logged account information to the account detection module, account information and teaching information are stored in a database, and the account information comprises a student account and a teacher account.
Description
Technical Field
The invention relates to the technical field of cloud computing, in particular to a teacher evaluation system based on cloud computing auxiliary teaching evaluation.
Background
Education, educators and education persons develop the mental development of educated persons in a purposeful and planned and organized way according to the law, regulation and industry standard and the conditions and the titles of schools, the educators and the education persons can deduce and strike people through the prior experience and knowledge, and various phenomena, problems or behaviors are explained for the educated persons so as to improve the practical ability.
The existing teacher finishes the school period every year, the school evaluates the teacher, the evaluation consideration is that the school leader selects one of lessons of the teacher to take lessons, the evaluation is too comprehensive to consider the teacher according to the evaluation, and therefore the teacher evaluation system based on the cloud computing auxiliary teaching evaluation is provided.
Disclosure of Invention
The invention aims to provide a teacher evaluation system based on cloud computing assisted teaching evaluation.
The technical problem to be solved by the invention is as follows:
(1): how to set login verification and increase the protection of account information;
(2): how to set the teacher's score;
(3): how to monitor the classroom efficiency of teachers.
The purpose of the invention can be realized by the following technical scheme: a teacher evaluation system based on cloud computing assisted teaching evaluation comprises an account login port, an account detection module, an account registration unit, an account verification unit, a processor, a classroom efficiency monitoring module, an identification statistics module, a student evaluation module, a comprehensive data analysis module, a teacher rating module and a teacher opinion acquisition module;
the account login port is used for logging in account information, the account login information transmits the logged account information to the account detection module, account information and teaching information are stored in the database, the account information comprises student accounts and teacher accounts, the teaching information comprises subjects carried by teachers, number of classes carried by teachers, subjects learned by students and subject teachers learned by students, the database transmits the account information to the account detection module, and the account detection module receives data transmitted by the account login port and the database, identifies the account information, judges whether the account exists or not and verifies the account;
the account verification unit transmits verification results to the processor, the processor skips a login user interface which is successfully verified to the student evaluation module, teacher information and student account information are stored in the database, the database transmits the teacher information and the student account information to the student evaluation module, and the student evaluation module evaluates teachers and counts to obtain a scoring result P i of each teacher;
the student evaluation module transmits the scoring result to the processor, and the processor receives the scoring result transmitted by the student evaluation module and transmits the scoring result to the comprehensive data analysis module;
the classroom efficiency monitoring module is used for detecting the teaching state of a teacher and automatically acquiring image information, the classroom efficiency monitoring module transmits the automatically acquired image information to the identification and statistics module, and the identification and statistics module identifies and counts the image information to obtain the number of students in the non-listening state and the listening state of the students;
the processor transmits the number of students in the state of not attending classes and the state of attending classes to the comprehensive data analysis module, and the comprehensive data analysis module receives the grading result and the students in the state of not attending classes and the state of attending classes and analyzes the grading result and the students in the state of not attending classes according to the data to obtain the total grading of the teacher
Wherein V is the proportion of students in the state of not listening to the class, and n is the total number of the students;
the comprehensive data analysis module transmits the analyzed grading result to the teacher grading module, the teacher grading module grades according to the analyzed grading result, and the specific grading process is as follows:
the method comprises the following steps: setting three score value ranges C, G and D;
step two: and comparing the analyzed grading result with three preset values, and judging the grade of a teacher:
s1: when the PF belongs to C, judging the class of the teacher to be A;
s2: when the PF belongs to G, judging the class of the teacher to be B;
s3: when the PF belongs to the D, judging that the class of the teacher is C;
the teacher opinion acquisition module is used for acquiring teacher opinions, the teacher opinions are different opinions of the teacher for rating, and the teacher opinion acquisition module transmits the acquired teacher opinions to the teacher rating module.
Further, the account detection module receives data transmitted by the account login port and the database and identifies account information, and the specific identification process is as follows:
the method comprises the following steps: the user inputs account information;
step two: the account detection module marks the received data, and the specific marking process is as follows:
s1: the account detection module automatically extracts student accounts transmitted by the database, and marks the student accounts as XSZH i, i =1.. N;
s2: the account detection module automatically extracts teacher accounts transmitted by the database, and marks the teacher accounts as JSZH i, i =1.. N;
s3: the account detection module automatically extracts account information of an account login port, and marks the account information as ZH i, i =1.. N;
step three: the account detection module detects, identifies and judges the account information according to the marked account information, and the judgment process is as follows:
s1: when ZH i is not equal to JSZH i and ZH i is not equal to XSZH i, judging that the account does not exist, and automatically jumping to an account registration unit by an account detection module;
s2: when ZH i = JSZH i and ZH i is not equal to XSZH i, judging the account as a teacher account, and automatically jumping to an account registration verification unit by an account detection module to verify account information;
s3: when ZH i is not equal to JSZH i and ZH i = XSZH i, the account is judged to be a student account, and the account detection module automatically jumps to an account registration verification unit to verify account information;
step four: the login user performs account registration in an account registration unit, and the account registration process comprises the following steps:
s1: filling in identity data, wherein the identity data comprises age, gender, years and months of birth, an identity card account and a mobile phone number;
s2: verifying identity information through a verification code received by the mobile phone number to complete registration;
step five: the login account information is verified in an account verification unit, and the specific verification process is as follows:
s1: the account verification unit respectively acquires the subjects carried by the teacher, the number of classes carried by the teacher, the subjects learned by the students and the subject teachers learned by the students, and marks the subjects carried by the teacher, the number of classes carried by the teacher, the subjects learned by the students and the subject teachers learned by the students as JKi, JS i, XKi and XS i in sequence;
s2: the account number verification unit sets a group of teacher identification verification codes JKi JS i and a group of student identification verification codes XKiXS i according to the marks;
s3: and the login user uses the identification verification code set by the account verification unit to verify the identity.
Further, the student evaluation module evaluates the teacher, and the specific evaluation process is as follows:
the method comprises the following steps: the student evaluation module extracts teacher information, and marks the teacher information as J i, i =1.. N;
step two: the student evaluation module extracts student account information and marks the student account information as Xi, i =1.. N;
step three: after the account is skipped, the account is verified, whether the logged account belongs to Xi is judged, and scoring is allowed after the logged account belongs to Xi;
step four: setting a scoring standard, judging according to 100 points, and recording the scoring of teachers by colleges;
step five: automatically uploading data after the students score, and locking a scoring page;
step six: the student's scoring results for each teacher are recorded and labeled as Pi, i =1.
Further, the identification and statistics module identifies and counts the image information, and the specific identification and statistics process is as follows:
the method comprises the following steps: the recognition statistical module automatically acquires image information and simultaneously recognizes the facial image information of the student, and judges the class listening state of the student:
s1: the state of not listening to the lesson: the non-lecture state is a state that the student does not carefully learn the content taught by the teacher during lecture;
s2: the lecture listening state: the lecture listening state is a state displayed by the content taught by the student carefully learning teachers during lecture listening;
step two: the two states are defined as follows:
s1: the state of not listening to lessons: the distance between the upper eyelid and the lower eyelid of the student is gradually shortened, finally the upper eyelid is contacted with the lower eyelid, the upper eyelid and the lower eyelid cannot be separated in a short time, the distance between the head of the student and the desk is gradually reduced, meanwhile, the head of the student moves by taking the shoulders as the original point, the student presents an arc shape, the two hands of the student are placed on the desk, the movement times are few in the time of a preset value T1, and the movement distance is in the range of a preset value JL;
s2: the lecture listening state: the contact time of the upper eyelid and the lower eyelid of the student is in the time range of the preset value A1, meanwhile, the two hands of the student are placed on the desk, the left hand or the right hand holds the pen, the hand holding the pen continuously shakes within the set time T2, the hand holding the pen slowly moves from left to right on the desk, and the distance between the head of the student and the desk is moderately kept within the set range B1 for changing;
step three: counting the number of students in the non-lecture state and the lecture state;
step four: the recognition counting module transmits the counted number of students in the non-lecture state and the lecture state to the processor.
Further, the comprehensive data analysis module receives the scoring result and students in the state of not attending classes and the state of attending classes and analyzes according to the data, and the specific analysis process is as follows:
the method comprises the following steps: the comprehensive data analysis module automatically extracts the number of students in the state of not attending classes, and marks the number of students in the state of not attending classes as BT i, i =1.. N;
step two: the comprehensive data analysis module automatically extracts the number of students in class, and marks the number of students in class as TKi, i =1.. N;
step three: substituting the marked information into a calculation formula, and calculating the proportion V = BT i/(BT i + TKi) occupied by students not in class;
step four: setting a system score of 100, and substituting the proportion of students who do not attend classes into a formula to obtain the system score PF1= [100-100V ]. 70%;
step five: the scoring result Pi of each teacher is substituted into a formula to calculate the scoring of the teacher in the student evaluation module
Step six: the overall score of the teacher is
The invention has the beneficial effects that:
(1) The account login information transmits login account information to an account detection module, account information and teaching information are stored in a database, the account information comprises student accounts and teacher accounts, the teaching information comprises subjects carried by teachers, the number of classes carried by teachers, subjects learned by students and subject teachers learned by students, the database transmits the account information to the account detection module, the account detection module receives data transmitted by an account login port and the database and identifies the account information, judges whether the account exists and verifies the account, and the account information is identified and verified through the arrangement of an account monitoring module and an account verification unit, so that the phenomenon that the account information is leaked or stolen is avoided, the safety of the account is improved, and the loss of people is reduced;
(2) The account verification unit transmits a verification result to the processor, the processor skips a login user interface which is successfully verified to the student evaluation module, teacher information and student account information are stored in the database, the database transmits the teacher information and the student account information to the student evaluation module, the student evaluation module evaluates a teacher, the student evaluation module transmits a grading result to the processor, the processor receives the grading result transmitted by the student evaluation module and transmits the grading result to the comprehensive data analysis module, the classroom efficiency monitoring module is used for detecting the teaching state of the teacher and automatically acquiring image information, the classroom efficiency monitoring module transmits the automatically acquired image information to the identification statistics module, the identification statistics module identifies and counts the image information, the student evaluation module and the classroom efficiency monitoring module are arranged to grade the teacher and grade the teacher system, so that the teacher grade is more comprehensive and more practical, the phenomenon of grading cost is avoided, the fairness of grade is increased, and the teacher is more comprehensively evaluated.
(3) The processor transmits the number of students in the state of not listening to classes and the state of listening to classes to the comprehensive data analysis module, the comprehensive data analysis module receives the grading result and the students in the state of not listening to classes and analyzes according to the data, the comprehensive data analysis module transmits the analyzed grading result to the teacher grading module, the teacher grading module grades according to the analyzed grading result, the comprehensive data analysis module grades all the aspects of teachers comprehensively, and the teacher grading module is arranged to grade the teachers, so that the time is saved, and the working efficiency is improved.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a system block diagram of 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, the invention relates to a teacher evaluation system based on cloud computing assisted teaching evaluation, which comprises an account login port, an account detection module, an account registration unit, an account verification unit, a processor, a classroom efficiency monitoring module, an identification statistics module, a student evaluation module, a comprehensive data analysis module, a teacher rating module and a teacher opinion acquisition module;
the account login port is used for logging in account information, the account login information transmits the logged account information to the account detection module, account information and teaching information are stored in the database, the account information comprises student accounts and teacher accounts, the teaching information comprises subjects carried by teachers, number of classes carried by teachers, subjects learned by students and subject teachers learned by students, the database transmits the account information to the account detection module, and the account detection module receives data transmitted by the account login port and the database, identifies the account information, judges whether the account exists or not and verifies the account;
the account verification unit transmits a verification result to the processor, the processor skips a login user interface which is successfully verified to the student evaluation module, teacher information and student account information are also stored in the database, the database transmits the teacher information and the student account information to the student evaluation module, and the student evaluation module evaluates teachers and counts to obtain a scoring result Pi of each teacher;
the student evaluation module transmits the scoring result to the processor, and the processor receives the scoring result transmitted by the student evaluation module and transmits the scoring result to the comprehensive data analysis module;
the classroom efficiency monitoring module is used for detecting the teaching state of a teacher and automatically acquiring image information, the classroom efficiency monitoring module transmits the automatically acquired image information to the identification and statistics module, and the identification and statistics module identifies and counts the image information to obtain the number of students in the non-listening state and the listening state of the students;
the processor transmits the number of students in the state of not attending classes and the state of attending classes to the comprehensive data analysis module, and the comprehensive data analysis module receives the grading result and the students in the state of not attending classes and the state of attending classes and analyzes the grading result and the students in the state of not attending classes according to the data to obtain the total grading of the teacher
Wherein V is the proportion of students who are not in class, and n is the total number of students;
the comprehensive data analysis module transmits the analyzed grading result to the teacher grading module, the teacher grading module grades according to the analyzed grading result, and the specific grading process is as follows:
the method comprises the following steps: setting three score value ranges C, G and D;
step two: and comparing the analyzed grading result with three preset values, and judging the grade of a teacher:
s1: when the PF belongs to C, judging the class of the teacher to be A;
s2: when the PF belongs to G, judging the class of the teacher to be B;
s3: when the PF belongs to the D, judging the class of the teacher to be C;
the teacher opinion acquisition module is used for acquiring the opinions of the teacher, the opinions of the teacher are different opinions of the teacher for rating, the teacher opinion acquisition module transmits the acquired opinions of the teacher to the teacher rating module, and the colleges carry out artificial consideration according to the different opinions of the teacher, so that the phenomenon of rating errors is avoided.
The account detection module receives data transmitted by an account login port and a database and identifies account information, and the specific identification process is as follows:
the method comprises the following steps: the user inputs account information;
step two: the account detection module marks the received data, and the specific marking process is as follows:
s1: the account detection module automatically extracts student accounts transmitted by the database, and marks the student accounts as XSZH i, i =1.. N, and the student accounts are used for students to evaluate teachers;
s2: the account detection module automatically extracts a teacher account transmitted by the database, and marks the teacher account as JSZH i, i =1.. N, wherein the teacher account is used for a teacher to browse self evaluation;
s3: the account detection module automatically extracts account information of an account login port, and marks the account information as ZH i, i =1.. N;
step three: the account detection module detects, identifies and judges the account information according to the marked account information, and the judgment process is as follows:
s1: when ZHi is not equal to JSZH i and ZHi is not equal to XSZHI, judging that the account does not exist, and automatically jumping to an account registration unit by the account detection module;
s2: when ZH i = JSZH i and ZHi is not equal to XSZHI, the account is judged to be a teacher account, and the account detection module automatically jumps to an account registration verification unit to verify account information;
s3: when ZH i is not equal to JSZH i and ZHi = XSZHI, judging the account number as a student account number, and automatically jumping to an account number registration verification unit by an account number detection module to verify account number information;
step four: the method comprises the following steps that a login user carries out account registration in an account registration unit, and the account registration process comprises the following steps:
s1: filling in identity data, wherein the identity data comprises age, gender, years and months of birth, an identity card account and a mobile phone number;
s2: verifying identity information through a verification code received by the mobile phone number to complete registration;
step five: the login account information is verified in an account verification unit, and the specific verification process is as follows:
s1: the account verification unit respectively acquires subjects carried by the teacher, the number of classes carried by the teacher, subjects learned by the students and subject teachers learned by the students, and marks the subjects carried by the teacher, the number of classes carried by the teacher, the subjects learned by the students and the subject teachers learned by the students as JKi, JSi, XKi and XSi in sequence;
s2: the account number verification unit sets a group of teacher identification verification codes JKi JS i and a group of student identification verification codes XKiXSi according to the marks;
s3: and the login user uses the identification verification code set by the account verification unit to verify the identity.
The student evaluation module evaluates the teacher, and the specific evaluation process is as follows:
the method comprises the following steps: the student evaluation module extracts teacher information, and marks the teacher information as J i, i =1.. N;
step two: the student evaluation module extracts student account information, and marks the student account information as Xi, i =1.. N;
step three: after the account is skipped, the account is verified, whether the logged account belongs to Xi is judged, and scoring is allowed after the logged account belongs to Xi;
step four: setting a scoring standard, judging according to 100 points, and recording the scoring of teachers by colleges;
step five: according to a one-time evaluation mode, students are only allowed to evaluate one teacher only once, and after the students score, data are automatically uploaded, and a scoring page is locked;
step six: the student's scoring results for each teacher are recorded and labeled as Pi, i =1.
The identification and statistics module identifies and counts the image information, and the specific identification and statistics process is as follows:
the method comprises the following steps: the recognition statistical module automatically acquires image information and simultaneously recognizes the facial image information of the student, and judges the class listening state of the student:
s1: the state of not listening to lessons: the non-lecture state is a state that the student does not carefully learn the content taught by the teacher during lecture;
s2: the state of attending lessons: the lecture listening state is a state displayed by the content taught by the student carefully learning teachers during lecture listening;
step two: the two states are defined as follows:
s1: the state of not listening to the lesson: the distance between the upper eyelid and the lower eyelid of the student is gradually shortened, finally the upper eyelid is contacted with the lower eyelid, the upper eyelid and the lower eyelid cannot be separated in a short time, the distance between the head of the student and the desk is gradually reduced, meanwhile, the head of the student moves by taking the shoulders as the original point, the student presents an arc shape, the two hands of the student are placed on the desk, the movement times are few in the time of a preset value T1, and the movement distance is in the range of a preset value JL;
s2: the lecture listening state: the contact time of the upper eyelid and the lower eyelid of the student is in the time range of the preset value A1, meanwhile, the two hands of the student are placed on the desk, the pen is held by the left hand or the right hand, the pen holding hand continuously shakes within the set time T2, the pen holding hand slowly moves from left to right on the desk, and the distance between the head of the student and the desk is properly kept within the set range B1 for changing;
step three: marking while judging according to the system, identifying the mark, and counting the number of students in the state of not listening to the class and the state of listening to the class;
step four: the recognition counting module transmits the counted number of students in the non-lecture state and the lecture state to the processor.
The comprehensive data analysis module receives the grading result and students in the state of not attending classes and the state of attending classes and analyzes according to the data, and the specific analysis process is as follows:
the method comprises the following steps: the comprehensive data analysis module automatically extracts the number of students in the state of not attending classes, and marks the number of students in the state of not attending classes as BT i, i =1.. N;
step two: the comprehensive data analysis module automatically extracts the number of students in the class attending state, and marks the number of students in the class attending state as TKi, wherein i =1.. N;
step three: according to a calculation formula of the occupancy: the occupancy ratio = the number of the solved objects is divided by the total number of the objects to be measured, the marked information is brought into a calculation formula, and the proportion V = BT i/(BT i + TKi) occupied by students in the state of not listening to class is calculated;
step four: setting a system score of 100, setting the system score to account for seven components of the total score according to a percentage score method, and substituting the proportion of students who do not attend classes into a formula to obtain a system score PF1= [100-100V ]. 70%;
step five: setting the student evaluation score as the third component of the total score according to the percentage score method, substituting the scoring result Pi of each teacher into a formula to calculate the scoring of the teacher in the student evaluation module
Step six: the overall score of the teacher is
When the invention works, the account login information transmits the login account information to the account detection module, account information and teaching information are stored in the database, the account information comprises student accounts and teacher accounts, the teaching information comprises subjects carried by the teacher and the number of classes carried by the teacher, accounts of students and students' teachers, a database transmits account information to an account detection module, the account detection module receives data transmitted by an account login port and the database and identifies the account information, judges whether the account exists and verifies the account, an account verification unit transmits verification results to a processor, the processor skips a login user interface which is verified successfully to a student evaluation module, teacher information and student account information are also stored in the database, the database transmits the teacher information and the student account information to the student evaluation module, the student evaluation module evaluates the teacher, the student evaluation module transmits the evaluation results to the processor, the processor receives the evaluation results transmitted by the student evaluation module and transmits the evaluation results to a comprehensive data analysis module, a classroom efficiency monitoring module is used for detecting the teaching state of the teacher and automatically acquiring image information, the classroom efficiency monitoring module transmits the automatically acquired image information to an identification statistics module, the identification statistics module identifies and counts the image information, the processor transmits the student numbers of students who do not listen to the class state and teachers to the comprehensive data analysis module, the classroom efficiency monitoring module transmits the image information and the comprehensive analysis results which do not listen to the teacher and the teacher, and the teacher receives the teacher data analysis results and the teacher and the comprehensive analysis module transmits the grading results to the teacher analysis module according to the class analysis results, and the class analysis results which the teacher rating results which the teacher and the teacher analysis results which do not listen to the teacher.
The account information is transmitted to the account detection module through account login information, account information and teaching information are stored in the database, the account information comprises student accounts and teacher accounts, the teaching information comprises subjects carried by the teacher, the number of classes carried by the teacher, subjects learned by the students and subject teachers learned by the students, the database transmits the account information to the account detection module, the account detection module receives data transmitted by an account login port and the database and identifies the account information, judges whether the account exists or not and verifies the account, and the account information is identified and verified through the account monitoring module and the account verification unit, so that the phenomenon that the account information is leaked or stolen is avoided, the account safety is improved, and the loss of people is reduced;
meanwhile, the account verification unit transmits a verification result to the processor, the processor skips a login user interface which is successfully verified to a student evaluation module, teacher information and student account information are stored in the database, the database transmits the teacher information and the student account information to the student evaluation module, the student evaluation module evaluates a teacher, the student evaluation module transmits a grading result to the processor, the processor receives the grading result transmitted by the student evaluation module and transmits the grading result to the comprehensive data analysis module, the classroom efficiency monitoring module is used for detecting the teaching state of the teacher and automatically acquiring image information, the classroom efficiency monitoring module transmits the automatically acquired image information to the identification statistical module, the identification statistical module identifies and counts the image information, the student evaluation module and the classroom efficiency monitoring module are used for grading the teacher and grading the teacher, so that the teacher can grade the classroom more comprehensively and more practically, the phenomenon of grading cost is avoided, the fairness of grading is increased, and the teacher can be comprehensively evaluated;
meanwhile, the processor transmits the number of students in the state of not listening to the class and the state of listening to the class to the comprehensive data analysis module, the comprehensive data analysis module receives the grading result and the students in the state of not listening to the class and the state of listening to the class and analyzes the grading result according to the data, the comprehensive data analysis module transmits the analyzed grading result to the teacher grading module, the teacher grading module grades the grading according to the analyzed grading result, the comprehensive data analysis module grades all the aspects of the teacher comprehensively, and the teacher grading module divides the grades of the teachers, so that the time is saved, and the working efficiency is improved.
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 (5)
1. A teacher evaluation system based on cloud computing assisted teaching evaluation is characterized by comprising an account login port, an account detection module, an account registration unit, an account verification unit, a processor, a classroom efficiency monitoring module, an identification statistics module, a database, a student evaluation module, a comprehensive data analysis module, a teacher rating module and a teacher opinion acquisition module;
the account login port is used for logging in account information, the account login port transmits the logged account information to the account detection module, account information and teaching information are stored in the database, the account information comprises student accounts and teacher accounts, the teaching information comprises subjects carried by teachers, number of classes carried by teachers, subjects learned by students and subject teachers learned by students, the database transmits the account information to the account detection module, and the account detection module receives data transmitted by the account login port and the database, identifies the account information, judges whether the account exists or not and verifies the account;
the account verification unit transmits verification results to the processor, the processor skips a login user interface which is successfully verified to the student evaluation module, teacher information and student account information are stored in the database, the database transmits the teacher information and the student account information to the student evaluation module, and the student evaluation module evaluates teachers and counts to obtain scoring results Pi of each teacher;
the student evaluation module transmits the scoring result to the processor, and the processor receives the scoring result transmitted by the student evaluation module and transmits the scoring result to the comprehensive data analysis module;
the classroom efficiency monitoring module is used for detecting the teaching state of a teacher and automatically acquiring image information, the classroom efficiency monitoring module transmits the automatically acquired image information to the identification and statistics module, and the identification and statistics module identifies and counts the image information to obtain the number of students in the non-listening state and the listening state of the students;
the processor transmits the number of students in the state of not attending classes and the state of attending classes to the comprehensive data analysis module, and the comprehensive data analysis module receives the grading result and the students in the state of not attending classes and the state of attending classes and analyzes the grading result and the students in the state of not attending classes according to the data to obtain the total grading of the teacher
Wherein V is the proportion of students in the state of not listening to the class, and n is the total number of the students;
the comprehensive data analysis module transmits the analyzed grading result to the teacher grading module, the teacher grading module grades according to the analyzed grading result, and the specific grading process is as follows:
the method comprises the following steps: setting three score value ranges C, G and D;
step two: and comparing the analyzed grading result with three preset values, and judging the grade of a teacher:
s1: when the PF belongs to C, judging the class of the teacher to be A;
s2: when the PF belongs to G, judging the class of the teacher to be B;
s3: when the PF belongs to the D, judging that the class of the teacher is C;
the teacher opinion acquisition module is used for acquiring teacher opinions, the teacher opinions are different opinions of the teacher for rating, and the teacher opinion acquisition module transmits the acquired teacher opinions to the teacher rating module.
2. The teacher evaluation system based on the cloud computing assisted teaching assessment as claimed in claim 1, wherein the account detection module receives data transmitted by an account login port and a database and identifies account information, and the specific identification process is as follows:
the method comprises the following steps: the user inputs account information;
step two: the account detection module marks the received data, and the specific marking process is as follows:
s1: the account detection module automatically extracts student accounts transmitted by the database, and marks the student accounts as XSZHI, i =1.. N;
s2: the account detection module automatically extracts teacher accounts transmitted by the database, and marks the teacher accounts as JSZHi, i =1.. N;
s3: the account detection module automatically extracts account information of an account login port, and marks the account information as ZHi, i =1.. N;
step three: the account detection module detects, identifies and judges the account information according to the marked account information, and the judgment process is as follows:
s1: when ZHi is not equal to JSZHI and ZHI is not equal to XSZHI, judging that the account does not exist, and automatically skipping to an account registration unit by the account detection module;
s2: when ZHi = JSZHi and ZHi ≠ XSZHi, judging that the account is a teacher account, and automatically jumping to an account registration verification unit by the account detection module to verify account information;
s3: when ZHi is not equal to JSZHi and ZHi = XSZHi, the account is determined to be a student account, and the account detection module automatically jumps to an account registration verification unit to verify account information;
step four: the login user performs account registration in an account registration unit, and the account registration process comprises the following steps:
s1: filling in identity data, wherein the identity data comprises age, gender, years and months of birth, an identity card account and a mobile phone number;
s2: verifying identity information through a verification code received by the mobile phone number to complete registration;
step five: the login account information is verified in an account verification unit, and the specific verification process is as follows:
s1: the account verification unit respectively acquires the subjects carried by the teacher, the number of classes carried by the teacher, the subjects learned by the students and the subject teachers learned by the students, and marks the subjects carried by the teacher, the number of classes carried by the teacher, the subjects learned by the students and the subject teachers learned by the students as JKi, JSi, XKi and XSi in sequence;
s2: the account verification unit sets a group of teacher identification verification codes JKiJSi and a group of student identification verification codes XKiXSi according to the marks;
s3: and the login user uses the identification verification code set by the account verification unit to verify the identity.
3. The teacher evaluation system based on the cloud computing assisted teaching evaluation as claimed in claim 1, wherein the student evaluation module evaluates a teacher, and the specific evaluation process is as follows:
the method comprises the following steps: the student evaluation module extracts teacher information, and marks the teacher information as Ji, i =1.. N;
step two: the student evaluation module extracts student account information, and marks the student account information as Xi, i =1.. N;
step three: after the account is skipped, the account is verified, whether the logged account belongs to Xi is judged, and scoring is allowed after the logged account belongs to Xi;
step four: setting a scoring standard, judging according to 100 points, and recording the scoring of teachers by colleges;
step five: automatically uploading data after the students score, and locking a scoring page;
step six: the student's scoring results for each teacher are recorded and labeled as Pi, i =1.
4. The teacher evaluation system based on cloud computing aided teaching evaluation as claimed in claim 1, wherein the recognition and statistics module recognizes and counts image information, and the specific recognition and statistics process is as follows:
the method comprises the following steps: the recognition and statistics module automatically acquires image information and recognizes the facial image information of the student at the same time, and judges the class listening state of the student:
s1: the state of not listening to lessons: the non-lecture state is a state that the student does not carefully learn the content taught by the teacher during lecture;
s2: the lecture listening state: the lecture listening state is a state displayed by the content taught by the student carefully learning teachers during lecture listening;
step two: the two states are defined as follows:
s1: the state of not listening to the lesson: the distance between the upper eyelid and the lower eyelid of the student is gradually shortened, finally the upper eyelid is contacted with the lower eyelid, the upper eyelid and the lower eyelid cannot be separated in a short time, the distance between the head of the student and the desk is gradually reduced, meanwhile, the head of the student moves by taking the shoulder as the original point to present an arc shape, the two hands of the student are placed on the desk, the movement times are few in the time of a preset value T1, and the movement distance is within the range of a preset value JL;
s2: the lecture listening state: the contact time of the upper eyelid and the lower eyelid of the student is in the time range of the preset value A1, meanwhile, the two hands of the student are placed on the desk, the left hand or the right hand holds the pen, the hand holding the pen continuously shakes within the set time T2, the hand holding the pen slowly moves from left to right on the desk, and the distance between the head of the student and the desk is moderately kept within the set range B1 for changing;
step three: counting the number of students in the non-lecture state and the lecture state;
step four: the recognition counting module transmits the counted number of students in the non-lecture state and the lecture state to the processor.
5. The teacher evaluation system based on cloud computing assisted teaching assessment as claimed in claim 1, wherein said comprehensive data analysis module receives the scoring result and students without or in class and analyzes according to the above data, and the specific analysis process is as follows:
the method comprises the following steps: the comprehensive data analysis module automatically extracts the number of students in the state of not listening to classes, and marks the number of students in the state of not listening to classes as BTi, i =1.. N;
step two: the comprehensive data analysis module automatically extracts the number of students in the class attending state, and marks the number of students in the class attending state as TKi, wherein i =1.. N;
step three: the marked information is brought into a calculation formula, and the proportion V = BTi/(BTi + TKi) occupied by students not attending class is calculated;
step four: setting the system score as 100, and substituting the proportion of students in the state of not attending classes into a formula to obtain the system score PF1= [100-100V ] × 70%;
step five: the scoring result Pi of each teacher is substituted into a formula to calculate the scoring of the teacher in the student evaluation module
Step six: the overall score of the teacher is
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