CN116823028A

CN116823028A - Teaching quality evaluation system and method

Info

Publication number: CN116823028A
Application number: CN202310658264.5A
Authority: CN
Inventors: 陈辰
Original assignee: Bank of China Financial Technology Co Ltd
Current assignee: Bank of China Financial Technology Co Ltd
Priority date: 2023-06-05
Filing date: 2023-06-05
Publication date: 2023-09-29

Abstract

The invention provides a teaching quality evaluation system and a teaching quality evaluation method, which relate to the technical field of teaching management, wherein the system comprises an information acquisition module and a comprehensive evaluation module; the information acquisition module is in communication connection with the comprehensive evaluation module; the information acquisition module is used for acquiring multidimensional evaluation parameters corresponding to each course taught by the target teacher; the multidimensional evaluation parameters comprise student evaluation parameters, teacher evaluation parameters, and student class participation indexes, student attendance indexes and student achievement indexes; the comprehensive evaluation module is used for inputting the multidimensional evaluation parameters into the comprehensive evaluation model to obtain teaching quality evaluation results corresponding to all courses, and fusing the teaching quality evaluation results corresponding to all courses taught by a target teacher to obtain the comprehensive teaching quality scoring result of the target teacher.

Description

Teaching quality evaluation system and method

Technical Field

The invention relates to the technical field of teaching management, in particular to a teaching quality evaluation system and method.

Background

The teaching quality evaluation is an important link for measuring the teaching level of a college, the quality of the teaching quality is directly related to the talent culture quality, and in order to facilitate grasping of the whole teaching quality of a teaching department, the teaching quality is improved, and the teaching quality evaluation is required to have higher reference value.

The existing teaching quality evaluation basically adopts a manual evaluation result as a reference index, and the summarization evaluation form performed in the later stage of teaching mainly depends on manual work, has low informatization degree, and greatly influences the evaluation efficiency and effectiveness.

Disclosure of Invention

The invention provides a teaching quality evaluation system and a teaching quality evaluation method, which are used for solving the defects of low evaluation efficiency and poor evaluation effectiveness caused by manual teaching quality evaluation in the prior art, realizing more objective and efficient multidimensional evaluation of teaching quality and improving evaluation precision and evaluation efficiency.

The invention provides a teaching quality evaluation system, which comprises an information acquisition module and a comprehensive evaluation module;

the information acquisition module is in communication connection with the comprehensive evaluation module;

the information acquisition module is used for acquiring multidimensional evaluation parameters corresponding to each course taught by the target teacher; the multidimensional evaluation parameters comprise student evaluation parameters, teacher evaluation parameters, and student class participation indexes, student attendance indexes and student achievement indexes; the teacher evaluation parameters are evaluation parameters generated by evaluating each course by a lesson listening teacher; the teacher evaluation parameters are evaluation parameters generated by students listening to courses to evaluate the courses;

The comprehensive evaluation module is used for inputting the multidimensional evaluation parameters into a comprehensive evaluation model to obtain teaching quality evaluation results corresponding to all courses, and fusing the teaching quality evaluation results corresponding to all courses taught by the target teacher to obtain comprehensive teaching quality scoring results of the target teacher.

According to the teaching quality evaluation system provided by the invention, the comprehensive evaluation model comprises an information entropy algorithm and a variation coefficient algorithm;

the comprehensive evaluation model is used for:

acquiring a first weight coefficient of each dimension of the evaluation parameter based on the information entropy algorithm;

acquiring a second weight coefficient of the evaluation parameter of each dimension based on the variation coefficient algorithm;

fusing the first weight coefficient and the second weight coefficient to obtain a final weight coefficient of the evaluation parameter of each dimension;

and fusing the multidimensional evaluation parameters according to the final weight coefficient to obtain teaching quality evaluation results corresponding to the courses.

According to the teaching quality evaluation system provided by the invention, the information acquisition module comprises a plurality of image acquisition sub-modules with different visual angles and an image processing sub-module;

Each image acquisition sub-module is in communication connection with the image processing sub-module;

the image acquisition sub-module is used for acquiring student video data corresponding to each course; the student video data comprises a plurality of frames of face images of the students on class;

the image processing sub-module is used for:

and acquiring the index of the class participation degree of the students according to the multi-frame face images.

According to the teaching quality evaluation system provided by the invention, the image processing sub-module is specifically used for:

based on an image processing algorithm, carrying out feature coding on the face images of each frame to obtain face feature vectors of the face images of each frame;

inputting the face feature vector into a face detection model to obtain the head-up state and the total number of students of the class students corresponding to each frame of the face image;

according to the head-up state and the total student number, obtaining the head-up ratio corresponding to the face image of each frame;

and acquiring the index of the class participation degree of the students according to the head-up ratio corresponding to the face images of the multiple frames.

According to the teaching quality evaluation system provided by the invention, the information acquisition module comprises an attendance acquisition sub-module;

The attendance collection sub-module is in communication connection with the first client; the first client is used for providing communication service for the students on class;

the attendance collection submodule is used for:

determining the expected number of the students corresponding to each course according to the course number of each course;

collecting student attendance data transmitted by the lesson-taking students through the first client in each lesson giving period corresponding to each lesson;

determining the actual number of students in the teaching period according to the student attendance data;

fusing the actual lecture-answering number in each lecture time period to obtain the corresponding actual lecture-answering number of each lecture;

and acquiring the student attendance indexes corresponding to the courses according to the expected number of the students and the actual number of the students corresponding to the courses.

According to the teaching quality evaluation system provided by the invention, the information acquisition module further comprises a scoring acquisition sub-module;

the scoring acquisition sub-module is in communication connection with the first client;

the scoring acquisition submodule is used for:

under the condition that a result inquiry instruction transmitted by the lesson-taking student through the first client is acquired, a student scoring template corresponding to the course type of each course is sent to the first client;

Obtaining a student scoring table corresponding to each course; the student scoring list is input by the students on class at the first client according to the student scoring template;

and obtaining the student evaluation parameters corresponding to the courses according to the scoring information in the student scoring table corresponding to the courses.

According to the teaching quality evaluation system provided by the invention, the evaluation acquisition sub-module is in communication connection with the second client; the second client is used for providing communication service for the lecture-listening teacher;

the scoring acquisition sub-module is further configured to:

transmitting a teacher scoring template corresponding to the course type of each course to the second client;

obtaining a teacher scoring table corresponding to each course; the teacher grading table is input by the lecture-listening teacher at the second client according to the teacher grading template;

and obtaining the teacher evaluation parameters corresponding to the courses according to the scoring information in the teacher scoring table corresponding to the courses.

The teaching quality evaluation system provided by the invention further comprises a management module;

the management module is in communication connection with the comprehensive evaluation module;

The management module is used for managing teaching information of the target teacher and the comprehensive teaching quality scoring result; and/or the number of the groups of groups,

receiving a checking instruction input by the target teacher through a third client; the third client is used for providing communication service for the target teacher;

and checking the comprehensive teaching quality scoring result of the target teacher according to the checking instruction, and sending response information to the third client according to the checking result.

The teaching quality evaluation system provided by the invention further comprises a display;

the display is in communication connection with the comprehensive evaluation module and the information acquisition module;

the display is used for displaying the comprehensive teaching quality scoring result and the multidimensional evaluation parameters.

The invention also provides a teaching quality evaluation method which is applied to any one of the teaching quality evaluation systems, and the method comprises the following steps:

collecting multidimensional evaluation parameters corresponding to each course taught by a target teacher; the multidimensional evaluation parameters comprise student evaluation parameters, teacher evaluation parameters, and student class participation indexes, student attendance indexes and student achievement indexes; the teacher evaluation parameters are evaluation parameters generated by evaluating each course by a lesson listening teacher; the teacher evaluation parameters are evaluation parameters generated by students listening to courses to evaluate the courses;

Inputting the multidimensional evaluation parameters into a comprehensive evaluation model to obtain teaching quality evaluation results corresponding to the courses;

and fusing the teaching quality evaluation results corresponding to all courses taught by the target teacher to obtain a comprehensive teaching quality scoring result of the target teacher.

The invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the teaching quality evaluation method according to any one of the above when executing the program.

The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of teaching quality assessment as described in any of the above.

The invention also provides a computer program product comprising a computer program which when executed by a processor implements a method of teaching quality assessment as described in any of the above.

According to the teaching quality evaluation system and method provided by the invention, the information acquisition module is firstly used for acquiring multidimensional evaluation parameters corresponding to each course taught by a target teacher; then, using a comprehensive evaluation module to input the multidimensional evaluation parameters into a comprehensive evaluation model so as to obtain teaching quality evaluation results corresponding to each course; and the comprehensive evaluation module is used for fusing teaching quality evaluation results corresponding to all courses taught by the target teacher, so that the comprehensive teaching quality scoring result of the target teacher is finally obtained, the multidimensional evaluation parameters are comprehensively obtained and adaptively fused, objective evaluation of teaching quality is automatically and accurately realized, and the evaluation efficiency and effectiveness of teaching quality evaluation are improved.

Drawings

In order to more clearly illustrate the invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic diagram of a teaching quality evaluation system according to the present invention;

FIG. 2 is a data flow diagram of the teaching quality assessment system provided by the invention;

FIG. 3 is a second schematic diagram of the teaching quality evaluation system according to the present invention;

FIG. 4 is a third schematic diagram of the teaching quality evaluation system according to the present invention;

FIG. 5 is a schematic flow chart of the method for acquiring the attendance index of the student;

FIG. 6 is a schematic flow chart of the teaching quality evaluation method provided by the invention;

fig. 7 is a schematic structural diagram of an electronic device provided by the present invention.

Reference numerals:

11: an information acquisition module; 12: a comprehensive evaluation module; 13: a management module; 14: a display.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

The teaching quality evaluation of teachers is an important link for measuring teaching level, and the quality of teaching quality is directly related to reputation and talent culture quality. The existing teaching quality evaluation basically depends on the evaluation results of anonymized student evaluation, teacher mutual evaluation and the like as reference indexes. The summary evaluation form performed in the later stage of teaching has some problems, mainly: the anonymity of the student evaluation results in reduced evaluation authenticity; the evaluation index is basically derived from the after-class, and related indexes before and during the class are not collected, so that the evaluation is incomplete; the evaluation mode is old, most of the evaluation modes are filled by hands, the informatization degree is low, and the evaluation process is complicated.

In the prior art, obtaining video pictures of students in the course of teaching from a preset teaching video database; detecting expression features in the video picture, and determining the quantity of interest corresponding to the expression features interested in the classroom content; and processing the evaluation information, the actual number of students and the corresponding number of students of the teacher, determining the attraction degree of the teacher teaching content to the students and the teaching degree of the teacher teaching content, and determining the teaching quality level based on the parameters.

In addition, some prior art devices include a central control module, a wireless communication module, a camera device, a lamp tube driver, a pyroelectric infrared human body sensor and the like; the purpose of monitoring and recording the attendance rate and the class state of students is achieved through the design.

In the prior art, teaching evaluation is performed by collecting relevant indexes in the lessons, but the data generated by students in the teaching room is still focused, the problems of evaluation of lesson-taking teachers and student performance data are not involved, and the final grading cannot fully reflect teaching quality; in addition, a system for user operation and result data display is not designed in the prior art, so that the participation degree of students and teachers in the evaluation process is almost zero, and the enthusiasm of the students for participation evaluation is not improved, and the teacher improves the self teaching mode method.

Aiming at the problems, the invention designs a teaching quality evaluation method and a teaching quality evaluation system based on comprehensive teaching indexes, which are combined with five indexes of student attendance, student classroom participation, student questionnaire survey (hereinafter also called a student scoring table), student score and teacher evaluation, wherein index weights are generated by utilizing an information entropy and variation coefficient fusion algorithm, scores are calculated, the scores are compared horizontally and longitudinally by utilizing data analysis, the results are clearly displayed by utilizing data visualization, management staff can master the overall teaching quality of each teaching unit in each learning period, and the teacher can recognize own advantages and defects so as to more purposefully adjust, thereby improving the teaching quality.

The teaching quality evaluation system of the present application is described below with reference to fig. 1 to 5.

The teaching quality evaluation system can be designed by adopting front-end and back-end separation, the back end of the system comprises an ORM (Object Relational Mapping, object relation mapping) database operation module, a user management module, a JWT (JSON Web Token, descriptive declaration specification) authentication module, a permission module and a timing task module, and the realization language and framework of the back end of the system can be selected according to actual scenes; by way of example, the system backend may be selectively written in Python (object oriented computer programming language) language, and a DRF (Django-Representational State Transfer-Framework) Framework is employed to develop Web API (World Wide Web Application Programming Interface, application programming interface) interfaces, which is not specifically limited in this embodiment.

The front end of the system can adopt a Vue (progressive framework) framework to develop operation and display interfaces of all users; the system database may be a system employing MySQL (My Structured Query Language, relational database management system); the system proxy may be an nmginx (engineering x, reverse proxy) server.

As shown in fig. 1, one of the structural diagrams of a teaching quality evaluation system provided by the present application may include: an information acquisition module 11 and a comprehensive evaluation module 12;

the information acquisition module 11 is in communication connection with the comprehensive evaluation module 12 so as to realize teaching quality evaluation through functions and communication interaction of each device.

The information acquisition module 11 is used for acquiring multidimensional evaluation parameters corresponding to each course taught by the target teacher; the multidimensional evaluation parameters comprise student evaluation parameters, teacher evaluation parameters, and student class participation indexes, student attendance indexes and student achievement indexes; the teacher evaluation parameters are evaluation parameters generated by evaluating each course by a lesson listening teacher; the student evaluation parameters are evaluation parameters generated by students listening to courses to evaluate the courses;

first, the information collection module 11 is used to collect multi-dimensional evaluation parameters corresponding to each course taught by the target teacher, including student evaluation parameters, teacher evaluation parameters, and student class participation index, student attendance index and student achievement index, where the obtained index data may be Nx5 dimensions. Where N is the number of courses taught by the target teacher.

Optionally, the teacher evaluation parameter may be obtained by directly inputting the whole score to the client through the teacher listening; or the final teacher evaluation parameter can be obtained by carrying out weighted addition on a plurality of scores correspondingly input by a lesson-listening teacher according to a plurality of preset indexes; the teacher evaluation table may be obtained by a teacher listening to a lesson and input according to a teacher evaluation template corresponding to the lesson type of the target lesson, which is not specifically limited in this embodiment.

Alternatively, the course type may be determined according to a combination of one or more of the profession to which the course belongs, the subject to which the course belongs, and the like, which is not particularly limited in this embodiment.

Likewise, the student evaluation parameters can be obtained by directly inputting the overall score into the client through the students listening to the lessons; or the students in class can obtain final student evaluation parameters after weighted addition of a plurality of scores correspondingly input according to a plurality of preset indexes; the students can also acquire the student scoring list input by the students in the class according to the student scoring templates corresponding to the class types of the target courses, and the embodiment is not particularly limited.

Optionally, the index of the class participation degree of the students can be determined by acquiring the head-up ratio of the students listening to the classes in the course of each course of the teaching of the target teacher; the determination may be performed by acquiring state characteristics such as expression characteristics and action characteristics of the students who are listening to the lessons in course of the lessons, which is not particularly limited in this embodiment.

Optionally, the student attendance index may be obtained by calculating using student attendance data of the students in class obtained from the client; or the attendance states of all students in class can be obtained through the image acquisition device, and the states of all students in class are integrated and calculated; the calculation may be performed according to the attendance data of the students of the lectures directly input by the target classroom and/or the lecture teacher, which is not particularly limited in this embodiment.

Alternatively, the student performance index may be obtained by obtaining the final performance of all lesson-selected students of each lesson taught by the target teacher, and calculating a combination of one or more of the average, quartile, standard deviation, and standard score of the final performance of all lesson-selected students, which is not specifically limited in this embodiment.

Fig. 2 is a data flow diagram of the teaching quality evaluation system provided in this embodiment, as shown in fig. 2, the information collecting module 11 includes a batch data processing layer and an evaluation index layer, and the comprehensive evaluation module 12 includes a data model layer, a data analysis layer and an application service layer. The teaching quality evaluation system can be communicated with various data centers, various clients and image collectors, various metadata are obtained from the teaching quality evaluation system by calling a batch data processing layer, and multidimensional evaluation parameters required by a comprehensive evaluation model are obtained through processing and processing: student evaluation parameters, teacher evaluation parameters, and student class participation index, student attendance index and student achievement index; after the batch mechanism judges that all index data are acquired, the system calls a comprehensive evaluation model through a data model layer to calculate a teaching quality evaluation result; and after the teaching quality evaluation results of all teaching teachers in each learning period are calculated, calling a data analysis layer to process the teaching quality evaluation result data in the learning period and the history teaching quality evaluation data together and transmitting the processed teaching quality evaluation result data to an application service layer for display.

It should be noted that, the image collector here is a sub-module used for collecting images in the information collection module; or a module for transmitting image information to an information acquisition module, which is not particularly limited in this embodiment.

The comprehensive evaluation module 12 is configured to input the multidimensional evaluation parameters into a comprehensive evaluation model to obtain a teaching quality evaluation result corresponding to each course, and fuse the teaching quality evaluation results corresponding to all courses taught by the target teacher to obtain a comprehensive teaching quality scoring result of the target teacher.

After the multidimensional evaluation parameters are obtained, the multidimensional evaluation parameters corresponding to each course are respectively input into a comprehensive evaluation model, and the teaching quality evaluation results corresponding to each course are obtained.

The comprehensive evaluation model is used for carrying out weighted addition on the multidimensional evaluation parameters of the target courses to obtain teaching quality evaluation results corresponding to the courses, and the weight coefficient of each multidimensional evaluation parameter in the weighted addition process can be preconfigured according to an actual scene; the values of the multidimensional evaluation parameters may be calculated and obtained, and this embodiment is not particularly limited.

Optionally, the teaching quality evaluation results corresponding to the N courses taught by the target teacher are fused to obtain a comprehensive teaching quality scoring result of the whole target teacher, and the calculation result can be used as the comprehensive teaching quality scoring result of the whole target teacher by calculating the average value of the teaching quality evaluation results corresponding to the N courses; the weight coefficient set based on the course type may be used to perform weighted addition on the teaching quality evaluation results corresponding to the N courses to obtain the overall comprehensive teaching quality scoring result of the target teacher, which is not specifically limited in this embodiment.

The method comprises the steps that firstly, an information acquisition module is used for acquiring multidimensional evaluation parameters corresponding to courses taught by a target teacher; then, using a comprehensive evaluation module to input the multidimensional evaluation parameters into a comprehensive evaluation model so as to obtain teaching quality evaluation results corresponding to each course; and the comprehensive evaluation module is used for fusing teaching quality evaluation results corresponding to all courses taught by the target teacher, so that the comprehensive teaching quality scoring result of the target teacher is finally obtained, the multidimensional evaluation parameters are comprehensively obtained and adaptively fused, objective evaluation of teaching quality is automatically and accurately realized, and the evaluation efficiency and effectiveness of teaching quality evaluation are improved.

On the basis of the above embodiment, the comprehensive evaluation model in this embodiment includes an information entropy algorithm and a coefficient of variation algorithm; the comprehensive evaluation model is used for: acquiring a first weight coefficient of each dimension of the evaluation parameter based on the information entropy algorithm; acquiring a second weight coefficient of the evaluation parameter of each dimension based on the variation coefficient algorithm; fusing the first weight coefficient and the second weight coefficient to obtain a final weight coefficient of the evaluation parameter of each dimension; and fusing the multidimensional evaluation parameters according to the final weight coefficient to obtain teaching quality evaluation results corresponding to the courses.

After the multidimensional evaluation parameters are input into the comprehensive evaluation model, first calculating a first weight coefficient of each dimensional evaluation parameter by using an information entropy algorithm;

the information entropy is an indicator for measuring uncertainty, i.e. the probability of occurrence of discrete random events. The information entropy calculation formula is as follows:

wherein k is a random variable, and the corresponding set is a set of all possible outputs, which is defined as a symbol set, and the output of the random variable is represented by X; n is the category number of the random variable; p is p _k Is an output probability function.

The uncertainty of each dimension of the evaluation parameter can be measured by calculating the probability distribution of each dimension of the evaluation parameter based on the information entropy algorithm, and a first weight coefficient of each dimension of the evaluation parameter is obtained according to the calculated probability of each dimension of the evaluation parameter.

Then calculating a second weight coefficient of each dimension of the evaluation parameter by using a variation coefficient algorithm;

coefficient of variation, also known as standard deviation, is a normalized measure of the degree of dispersion of the probability distribution, defined as the ratio of standard deviation to average. The coefficient of variation is calculated as follows:

where CV is the coefficient of variation, SD is the standard deviation, and MN is the mean.

The influence of different dimensions of each dimension of the evaluation parameters can be eliminated by measuring the difference degree of the values of each dimension of the evaluation parameters based on the variation coefficient algorithm, and a second weight coefficient of each dimension of the evaluation parameters is obtained according to the calculated variation degree of each dimension of the evaluation parameters.

Optionally, the obtained first weight coefficient and the second weight coefficient are fused to obtain a final weight coefficient of each dimension evaluation parameter, the first weight coefficient and the second weight coefficient may be weighted and added to obtain a feature vector of 1x5, the feature vector is used as the final weight coefficient of each dimension evaluation parameter, and the weight coefficients of the first weight coefficient and the second weight coefficient in weighted and added may be set according to the actual scene; for example, the final weight coefficient may be obtained by setting the weight coefficients of the first weight coefficient and the second weight coefficient to 0.5, respectively, for weighted addition, which is not particularly limited in this embodiment.

And then respectively carrying out weighted addition on the multidimensional evaluation parameters corresponding to each course according to the final weight coefficient, and taking the calculated result as a teaching quality evaluation result corresponding to each course.

According to the embodiment, first weight coefficients and second weight coefficients of evaluation parameters of each dimension are obtained based on an information entropy algorithm and a variation coefficient algorithm respectively; then, fusing the first weight coefficient and the second weight coefficient to obtain a final weight coefficient of each dimension of evaluation parameters; and the final weight coefficient is used for carrying out weighted addition on the evaluation parameters of each dimension to obtain the teaching quality evaluation result corresponding to each course, so that the adaptive fusion of the evaluation parameters of the multiple dimensions is realized, the objective evaluation of the teaching quality is automatically and accurately facilitated, and the evaluation efficiency of the teaching quality evaluation is improved.

On the basis of the above embodiment, the information acquisition module 11 in this embodiment includes a plurality of image acquisition sub-modules with different viewing angles, and an image processing sub-module; each image acquisition sub-module is in communication connection with the image processing sub-module; the image acquisition sub-module is used for acquiring student video data corresponding to each course; the student video data comprises a plurality of frames of face images of the students on class; the image processing sub-module is used for: and acquiring the index of the class participation degree of the students according to the multi-frame face images. Firstly, in the course-making process corresponding to each course, an image acquisition sub-module acquires multi-frame face images of students in the course from a plurality of different visual angles as student video data;

The image acquisition sub-module can be constructed and generated based on an image acquisition device directly used for image acquisition, such as a monocular camera or a binocular camera; or based on an image collector directly used for image collection and auxiliary equipment used for auxiliary imaging, such as a light supplementing lamp and the like.

Optionally, the student video data may be obtained by uniformly intercepting a plurality of frames of face images from the video data collected by the image collecting sub-module, and the number of frames for intercepting the face images may be set according to an actual scene; for example, the number of frames for capturing the face image may be set to 20 in the present embodiment, which is not particularly limited in this embodiment.

After the student video data are acquired, the image acquisition sub-module inputs the student video data into the image processing sub-module for processing, and the student class participation index is acquired.

Optionally, the image processing sub-module may acquire the index of the class participation of the students by analyzing the head-up ratio of the students listening to the class in the multi-frame face image; the class participation index of the students may be obtained by obtaining the participation question ratio of the students in the class listening in the multi-frame face image, which is not particularly limited in this embodiment.

The embodiment collects the student video data corresponding to each course by using the image collecting sub-module; and then inputting the student video data into an image processing sub-module to acquire the index of the participation degree of the students in the class according to the multi-frame face images, thereby realizing objective extraction of in-class evaluation parameters, being beneficial to more accurately carrying out objective evaluation on teaching quality and improving the effectiveness of teaching quality evaluation.

On the basis of the foregoing embodiment, the image processing sub-module in this embodiment is specifically configured to: based on an image processing algorithm, carrying out feature coding on the face images of each frame to obtain face feature vectors of the face images of each frame; inputting the face feature vector into a face detection model to obtain the head-up state and the total number of students of the class students corresponding to each frame of the face image; according to the head-up state and the total student number, obtaining the head-up ratio corresponding to the face image of each frame; and acquiring the index of the class participation degree of the students according to the head-up ratio corresponding to the face images of the multiple frames.

After receiving the student video data, for each frame of face image of the students in the student video data, the image processing sub-module firstly performs feature coding on the face image based on an image processing algorithm to obtain a face feature vector corresponding to the face image;

The image processing algorithm may be a plurality of general algorithms in terms of image processing and computer vision by using an OpenCV (Open Source Computer Vision Library ) technology, which has become the most powerful research tool in the field of computer vision.

Optionally, when feature encoding is performed on the face image to obtain a corresponding face feature vector, the dimension of the feature vector may be set according to the feature number of the encoding; for example, the dimension of the feature vector may be set to 1×128D in this embodiment, which is not specifically limited in this embodiment.

Then, the face feature vector corresponding to the face image is input into a face detection model to obtain the head-up state and the total number of students of the class students corresponding to the face image;

optionally, in the face detection model, the face feature vector corresponding to the face image is compared with the face feature vector set of all students in the class, a machine learning algorithm is based on an SVM (Support Vector Machine ), a target face with the euclidean distance smaller than a preset threshold value between the face feature vectors corresponding to the preset sample face set in the face image is found out in the sample face set, the students in the class corresponding to the successfully identified target face are taken as students in the class in the head-up state in the face image, and the total number of students of all students corresponding to the face image is obtained. The sample face set stores the student faces in the head-up state in advance. Alternatively, the sample face set may be pre-stored in a database; or may be obtained by obtaining the history recognition result of the image processing sub-module, which is not specifically limited in this embodiment.

SVM is a common method of discrimination, and in the field of machine learning, SVM algorithms are commonly used for pattern recognition, classification, and regression analysis. It will be appreciated that the minimum Euclidean distance between the face feature vectors calculated corresponding to the face image is within the threshold defined by the SVM.

After the number of head-up students in the head-up state corresponding to the face image and the total number of students of all students corresponding to the face image are obtained, the ratio between the number of head-up students in the head-up state and the total number of students of all students corresponding to the face image can be calculated, and the calculated result is used as the head-up ratio corresponding to the face image.

Optionally, finally, taking an average value of head-up ratios corresponding to the multi-frame face images, and taking the average value calculation result as a student class participation index; or selecting the optimal value in the head-up ratio corresponding to the multi-frame face image as the index of the class participation degree of the students, which is not particularly limited in the embodiment.

In the embodiment, the image processing algorithm is firstly used for carrying out feature coding on each frame of face image to respectively obtain corresponding face feature vectors; then inputting the obtained face feature vector into a face detection model, obtaining the head-up state and the total number of students of the class students corresponding to each frame of face image, and calculating the head-up ratio corresponding to each frame of face image; finally, according to the head-up ratio corresponding to the multi-frame face images, the index of the class participation degree of the students is calculated, objective extraction of in-class evaluation parameters is achieved, objective evaluation of teaching quality is facilitated more accurately, and effectiveness of teaching quality evaluation is improved.

Fig. 3 is a second schematic structural diagram of the teaching quality evaluation system provided in the present embodiment, as shown in fig. 3, a background of the teaching quality evaluation system is communicatively connected to various data centers, including a first data center and a second data center; and can also be connected with various clients in a communication way, including a first client, a second client and a third client, so that the teaching quality evaluation system can realize the following functions by being connected with various data centers in a communication way and by being connected with various clients in a communication way: student questionnaire acquisition, teacher score display, teacher score uploading, teaching quality evaluation result check, student score display, teacher history score analysis display and user management.

The teaching quality evaluation system can communicate with various data centers and various clients to obtain multidimensional evaluation parameters required by the comprehensive evaluation model. The so-called communication connection may be a connection established via HTTP (Hyper Text Transfer Protocol ).

The background of the teaching quality evaluation system can acquire data such as course arrangement, student class list, course listening arrangement and the like from a database thereof in a batch mode, and can be accessed into historical teaching quality evaluation data in a one-time data bottoming mode, which is not particularly limited in the embodiment. The first data center is used for storing course information such as course arrangement information, student school table information, course listening arrangement information and the like.

The first data center may store and conveniently use data by setting a database table structure, and use an ORM module in the DRF to complete association of the database table, which is not limited in this embodiment.

The background of the teaching quality evaluation system can obtain the achievement of each course selecting student in each course in batches from the second data. The second data center is used for storing teaching information such as student scores, comprehensive teaching quality scores of teachers, face information of students, face information of teachers and the like.

As shown in fig. 4, the first client is configured to provide a communication service for the students on the lessons, such as transmitting a questionnaire filled out by the students on the lessons to the teaching quality evaluation system, or querying the student performance from the teaching quality evaluation system;

the second client is used for providing communication services for the lecture-listening teacher, such as downloading a teacher scoring template from the teaching quality evaluation system and transmitting a teacher scoring table formed by the lecture-listening teacher entering the scoring template to the teaching quality evaluation system.

The third client is used for providing communication service for the target teacher, namely, is used for realizing interactive communication between the target teacher and the teaching quality evaluation system.

On the basis of the above embodiment, the information collecting module 11 in this embodiment includes an attendance collecting sub-module; the attendance collection sub-module is in communication connection with the first client; the first client is used for providing communication service for the students on class; fig. 5 is a schematic flow chart of obtaining a student attendance index provided in this embodiment, as shown in fig. 5, the step of obtaining the student attendance index by using the attendance acquisition sub-module includes:

Step 501, determining the expected number of the students corresponding to each course according to the course number of each course;

for each course student attendance index, the number of students who should go to the course in the course is firstly obtained in the course-listening arrangement data in the first data center through the course number of the course, and is used as the expected course-listening number corresponding to the course.

The course numbers of all courses and the number of students who should go to the course in the course have a one-to-one mapping relation.

Step 502, collecting student attendance data transmitted by the lecture student through the first client in each lecture period corresponding to each course;

it can be understood that before the student attendance data is obtained, the attendance collection submodule needs to obtain all teaching periods of the course in the course arrangement data in the first data center according to the course number of the course;

the course numbers of each course and all teaching periods of the course have a one-to-one mapping relation.

And then, respectively collecting the attendance data of the students in the class, which are transmitted by the first client, in each teaching period. Here, the manner in which the lecture student transmits the attendance data may be to punch a card at a WeChat end of the first client.

Step 503, determining the actual number of students in the lecture period according to the student attendance data;

step 504, fusing the actual lecture-answering number in each lecture period to obtain the actual lecture-answering number corresponding to each lecture;

optionally, the method may further include sorting the attendance data of all students in the course in each teaching period, and obtaining the actual number of students in the course in each teaching period; and calculating the average number of actual lecture-answering people in all the lecture time periods to fuse, and taking the fused calculation result as the actual lecture-answering people corresponding to the lesson.

And 505, acquiring the student attendance index corresponding to each course according to the expected number of the students and the actual number of the students corresponding to each course.

And finally, calculating the ratio of the expected number of the students to the actual number of the students to the curriculum through calculating the corresponding ratio of the expected number of the students to the curriculum, and obtaining the class arrival rate of the curriculum, wherein the class arrival rate is used as the attendance index of the students corresponding to the curriculum.

In addition, for obtaining the student score index corresponding to each course, the score of all the students selecting courses in each course may be obtained by the course number of each course, then the score of all the students selecting courses in each course may be fused by calculating the average number, and the calculation result may be used as the student score index corresponding to each course.

According to the method, for each course, the number of the corresponding expected person listening to the course is firstly determined according to the course number; then, determining and fusing the actual lecture-taking number in each lecture period by collecting the student attendance data of all the lecture periods corresponding to the lecture period transmitted by the first client, and obtaining the actual lecture-taking number corresponding to the lecture; and finally, calculating the attendance index of the student corresponding to each course according to the expected number of the students and the actual number of the students corresponding to each course, thereby realizing objective extraction of the evaluation parameters before the course, being beneficial to more accurately carrying out objective evaluation on the teaching quality and improving the effectiveness of the teaching quality evaluation.

On the basis of the above embodiment, the information acquisition module 11 in this embodiment further includes a score acquisition sub-module; the scoring acquisition sub-module is in communication connection with the first client;

the scoring acquisition submodule is used for: under the condition that a result inquiry instruction transmitted by the lesson-taking student through the first client is acquired, a student scoring template corresponding to the course type of each course is sent to the first client; obtaining a student scoring table corresponding to each course; the student scoring list is input by the students on class at the first client according to the student scoring template; and obtaining the student evaluation parameters corresponding to the courses according to the scoring information in the student scoring table corresponding to the courses.

The first client is further used for downloading a student scoring template corresponding to the course type of the corresponding course under the condition that the students in the course view the courses submitted in the academic period and send the score query instruction, so that the students in the course view fill in the student scoring template corresponding to each course, and uploading the student scoring table to the scoring acquisition sub-module. If the student scoring list of each course is obtained, the scoring and collecting sub-module can also send the examination results of each course, which are revised by the students in the second data center, to the first client so that the students in the course can check the examination results corresponding to each course respectively.

Optionally, after receiving the score query instruction transmitted by the first client, the score acquisition submodule can firstly acquire all courses selected by the students for listening to the courses, then respectively acquire the course type of each course, and find a student score template corresponding to the course type;

optionally, the obtaining of the student scoring templates corresponding to the course types may be searching through a mapping relationship directly existing between the course types and the student scoring templates corresponding to the course types; or, the identifier of the course type may be obtained and searched according to a preset mapping relationship between the identifier of the course type and the scoring template of the student corresponding to the course type, which is not limited in this embodiment.

Then, the scoring acquisition sub-module sends the found scoring templates of the students to the first client, acquires the scoring tables of the students of all courses selected by the students of the lessons from the first client, and then collects and sorts the scoring tables of the students corresponding to the courses respectively;

optionally, the student scoring table may be obtained by downloading, by a students listening to a lesson, a student scoring template corresponding to a lesson type of a selected lesson, and then manually filling in batch filling in scoring information and uploading the scoring information to the first client; or the students can directly fill in the clients by means of touch input, voice input, gesture input, visual input, brain-computer input and the like; the students in the class may also select scoring information by applying the pull-down options preset for the scoring templates of different students, which is not specifically limited in this embodiment.

It can be understood that after the process of obtaining the student scoring tables of all courses selected by the students in the class from the first client, the student scoring tables corresponding to the courses can be collected and sorted in an anonymous mode so as to eliminate the worry of the students about the influence of the questionnaire results on the performance.

And finally integrating the grading information in the student grading table corresponding to each course to obtain the student evaluation parameters corresponding to each course.

For example, the final score of each student scoring table corresponding to each course may be obtained by weighted addition of each scoring information in the student scoring table, then an average value of the final scores of all the student scoring tables corresponding to each course is calculated, and the calculation result is used as the student evaluation parameter corresponding to each course, which is not specifically limited in this embodiment.

After receiving a score query instruction transmitted by a first client, the embodiment firstly transmits a student scoring template corresponding to the course type of each course to the first client; then, a student of the class is obtained to input a student scoring list corresponding to each course at a first client according to a student scoring template; and finally integrating scoring information in a student scoring table corresponding to each course to obtain student scoring parameters corresponding to each course, designing a plurality of student scoring templates according to different course property evaluating modes, setting the anonymously submitted student scoring table as a pre-condition of score query, realizing objective extraction of the student scoring parameters, being beneficial to more accurately objectively evaluating teaching quality and improving the effectiveness of teaching quality evaluation.

On the basis of the above embodiment, the score acquisition sub-module in this embodiment is communicatively connected to the second client; the second client is used for providing communication service for the lecture-listening teacher;

The scoring acquisition sub-module is further configured to: transmitting a teacher scoring template corresponding to the course type of each course to the second client; obtaining a teacher scoring table corresponding to each course; the teacher grading table is input by the lecture-listening teacher at the second client according to the teacher grading template; and obtaining the teacher evaluation parameters corresponding to the courses according to the scoring information in the teacher scoring table corresponding to the courses.

The second client is used for downloading teacher scoring templates corresponding to the course types of the corresponding courses, filling in the teacher scoring templates corresponding to each course by a teacher listening to the courses, and uploading a teacher scoring table to the scoring acquisition sub-module.

Firstly, a scoring acquisition sub-module can acquire all courses of a history class of a class-listening teacher, then respectively acquire the course type of each course, and find a teacher scoring template corresponding to the course type;

optionally, the obtaining of the teacher scoring template corresponding to the course type may be searching through a mapping relationship directly existing between the course type and the teacher scoring template corresponding to the course type; or, the identifier of the course type may be obtained and searched according to a mapping relationship preset between the identifier of the course type and a teacher scoring template corresponding to the course type, which is not limited in detail in this embodiment.

Then, the scoring and collecting sub-module sends the found scoring templates of the teachers to the second client, and obtains the scoring tables of the teachers of all courses selected by the lessons-listening teacher from the second client, and then collects and sorts the scoring tables of the teachers corresponding to the courses respectively;

optionally, the teacher grading table may be obtained by downloading a teacher grading template corresponding to the course type of the selected course by the teacher listening to the course, manually filling in the grading information in batches, and uploading the grading information to the second client; or the lecture-listening teacher can directly fill in the client by means of touch input, voice input, gesture input, visual input, brain-computer input and the like; the lecturer may also select scoring information by applying a pull-down option preset for different teacher scoring templates, which is not specifically limited in this embodiment.

And finally integrating the grading information in the teacher grading table corresponding to each course to obtain the teacher evaluation parameters corresponding to each course.

For example, the final score of each teacher scoring table corresponding to each course may be obtained by weighted addition of each scoring information in the teacher scoring table, then an average value of the final scores of all the teacher scoring tables corresponding to each course is calculated, and the calculation result is used as the teacher scoring parameter corresponding to each course, which is not specifically limited in this embodiment.

After receiving the achievement query instruction transmitted by the second client, the embodiment firstly transmits a teacher grading template corresponding to the course type of each course to the second client; then, obtaining a teacher scoring table corresponding to each course input by a class listening teacher at a second client according to a teacher scoring template; and finally integrating the grading information in the teacher grading table corresponding to each course to obtain the teacher grading parameters corresponding to each course, and designing a plurality of teacher grading templates according to different course property grading modes to realize objective extraction of the teacher grading parameters, thereby being beneficial to more accurately carrying out objective evaluation on teaching quality and improving the effectiveness of teaching quality evaluation.

On the basis of the above embodiment, the present embodiment further includes a management module 13; the management module 13 is in communication connection with the comprehensive evaluation module 12;

the management module 13 is configured to manage teaching information of the target teacher and the comprehensive teaching quality scoring result; and/or receiving a checking instruction input by the target teacher through the third client; the third client is used for providing communication service for the target teacher; and checking the comprehensive teaching quality scoring result of the target teacher according to the checking instruction, and sending response information to the third client according to the checking result.

As shown in fig. 4, the management module 13 may query and manage, in a multi-dimensional manner, the teaching information of the target teacher, the comprehensive teaching quality scoring result, and the teaching quality evaluation results and/or multi-dimensional evaluation parameters corresponding to all courses taught by the target teacher according to one or more of the name of the target teacher, the academy of the target, the professional of the target teacher, the job of the target teacher, and the number information of the target teacher set in advance.

And/or, after receiving the checking instruction input by the target teacher through the third client, the management module 13 may check the comprehensive teaching quality scoring result of the target teacher based on the checking instruction, acquire the checking result after the checking is completed, and send response information to the third client according to the checking result.

As shown in fig. 4, the third client is used for querying the comprehensive teaching quality scoring result and the historical scoring data analysis of the stage by the target teacher; further, the third client side can also query the teaching quality evaluation results and/or multidimensional evaluation parameters corresponding to all courses taught in the learning period; in addition, the third client opens a checking channel for inputting checking instructions for the target teacher to the unacknowledged evaluation parameters, and the response information of the checking result can be checked after the checking instructions are processed by the administrator;

In addition, the management module 13 can also be used for authentication and authority configuration of each user; and information for the administrator to query, add, delete and modify the lecture-attending student and the lecture-attending teacher; in some embodiments, the face image input function of the students in class can be realized by using the management module 13 in the face of the students in class that the image acquisition sub-module cannot be used for acquiring the face data of the students in class, and the face data of the students in class cannot be directly acquired from the database.

In the embodiment, the management module 13 is used for managing the teaching information of the target teacher and the scoring result of the comprehensive teaching quality; and/or, the application management module 13 receives the checking instruction input by the target teacher in the third client, checks the comprehensive teaching quality grading result of the target teacher, and finally sends response information to the third client according to the checking result, so that management of user information and accuracy guarantee of the comprehensive teaching quality grading result of the target teacher are realized, objective evaluation of teaching quality is facilitated, and effectiveness of teaching quality evaluation is improved.

On the basis of the above embodiment, the display 14 is further included in the present embodiment; the display 14 is in communication connection with the comprehensive evaluation module 12 and the information acquisition module 11;

The display 14 is configured to display the comprehensive teaching quality score and the multidimensional evaluation parameter.

In some embodiments, the display 14 may not only display the page of the comprehensive teaching quality scoring result and the multidimensional evaluation parameter in the form of a visual data graph, but also display the page as a previous operation of the user, which is not particularly limited in this embodiment.

According to the embodiment, the comprehensive teaching quality scoring result and the multidimensional evaluation parameters are displayed by using the display 14, so that the multidimensional teaching quality scoring result is clearly displayed by using the data visualization, a manager can master the whole teaching quality in each learning period, and a target teacher can recognize own advantages and disadvantages so as to adjust more pertinently, thereby improving the teaching quality.

The teaching quality evaluation method provided by the application is described below, and the teaching quality evaluation method described below and the teaching quality evaluation system described above can be correspondingly referred to each other.

As shown in fig. 6, the teaching quality evaluation method provided by the application comprises the following steps:

step 601, collecting multidimensional evaluation parameters corresponding to each course taught by a target teacher; the multidimensional evaluation parameters comprise student evaluation parameters, teacher evaluation parameters, and student class participation indexes, student attendance indexes and student achievement indexes; the teacher evaluation parameters are evaluation parameters generated by evaluating each course by a lesson listening teacher; the teacher evaluation parameters are evaluation parameters generated by students listening to courses to evaluate the courses;

Firstly, collecting multi-dimensional evaluation parameters which correspond to each course taught by a target teacher and are composed of student evaluation parameters, teacher evaluation parameters, and student classroom participation indexes, student attendance indexes and student achievement indexes, wherein the obtained index data can be Nx 5-dimensional. Where N is the number of courses taught by the target teacher.

Optionally, the teacher evaluation parameter may be obtained by directly inputting the whole score to the client through the teacher listening; or the final teacher evaluation parameter can be obtained by carrying out weighted addition on a plurality of scores correspondingly input by a lesson-listening teacher according to a plurality of preset indexes; the teacher evaluation table input by the teacher in the class listening teacher according to the teacher evaluation template corresponding to the class type of the target course may be further improved to obtain, which is not limited in this embodiment.

Step 602, inputting the multidimensional evaluation parameters into a comprehensive evaluation model to obtain teaching quality evaluation results corresponding to each course;

And 603, fusing the teaching quality evaluation results corresponding to all courses taught by the target teacher to obtain a comprehensive teaching quality scoring result of the target teacher.

In the embodiment, the information acquisition module 11 is used for acquiring multidimensional evaluation parameters corresponding to each course taught by a target teacher; then, the comprehensive evaluation module 12 is used for inputting the multidimensional evaluation parameters into the comprehensive evaluation model so as to obtain teaching quality evaluation results corresponding to each course; and the comprehensive evaluation module 12 is used for fusing teaching quality evaluation results corresponding to all courses taught by the target teacher, so that the comprehensive teaching quality scoring result of the target teacher is finally obtained, multi-dimensional evaluation parameters are comprehensively obtained and adaptively fused, objective evaluation of teaching quality is automatically and accurately realized, and the evaluation efficiency and effectiveness of teaching quality evaluation are improved.

Fig. 7 illustrates a physical schematic diagram of an electronic device, as shown in fig. 7, which may include: a processor (processor) 701, a communication interface (Communications Interface) 702, a memory (memory) 703 and a communication bus 704, wherein the processor 701, the communication interface 702 and the memory 703 communicate with each other through the communication bus 704. The processor 701 may invoke logic instructions in the memory 703 to perform a method of teaching quality assessment, the method comprising: collecting multidimensional evaluation parameters corresponding to each course taught by a target teacher; the multidimensional evaluation parameters comprise student evaluation parameters, teacher evaluation parameters, and student class participation indexes, student attendance indexes and student achievement indexes; the teacher evaluation parameters are evaluation parameters generated by evaluating each course by a lesson listening teacher; the student evaluation parameters are evaluation parameters generated by students listening to courses to evaluate the courses; inputting the multidimensional evaluation parameters into a comprehensive evaluation model to obtain teaching quality evaluation results corresponding to the courses; and fusing the teaching quality evaluation results corresponding to all courses taught by the target teacher to obtain a comprehensive teaching quality scoring result of the target teacher.

Further, the logic instructions in the memory 703 may be implemented in the form of software functional units and may be stored in a computer readable storage medium when sold or used as a stand alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

In another aspect, the present invention also provides a computer program product, the computer program product including a computer program, the computer program being storable on a non-transitory computer readable storage medium, the computer program, when executed by a processor, being capable of executing the teaching quality evaluation method provided by the above methods, the method comprising: collecting multidimensional evaluation parameters corresponding to each course taught by a target teacher; the multidimensional evaluation parameters comprise student evaluation parameters, teacher evaluation parameters, and student class participation indexes, student attendance indexes and student achievement indexes; the teacher evaluation parameters are evaluation parameters generated by evaluating each course by a lesson listening teacher; the student evaluation parameters are evaluation parameters generated by students listening to courses to evaluate the courses; inputting the multidimensional evaluation parameters into a comprehensive evaluation model to obtain teaching quality evaluation results corresponding to the courses; and fusing the teaching quality evaluation results corresponding to all courses taught by the target teacher to obtain a comprehensive teaching quality scoring result of the target teacher.

In yet another aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, is implemented to perform the teaching quality assessment method provided by the above methods, the method comprising: collecting multidimensional evaluation parameters corresponding to each course taught by a target teacher; the multidimensional evaluation parameters comprise student evaluation parameters, teacher evaluation parameters, and student class participation indexes, student attendance indexes and student achievement indexes; the teacher evaluation parameters are evaluation parameters generated by evaluating each course by a lesson listening teacher; the student evaluation parameters are evaluation parameters generated by students listening to courses to evaluate the courses; inputting the multidimensional evaluation parameters into a comprehensive evaluation model to obtain teaching quality evaluation results corresponding to the courses; and fusing the teaching quality evaluation results corresponding to all courses taught by the target teacher to obtain a comprehensive teaching quality scoring result of the target teacher.

The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.

From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.

Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. The teaching quality evaluation system is characterized by comprising an information acquisition module and a comprehensive evaluation module;

the information acquisition module is used for acquiring multidimensional evaluation parameters corresponding to each course taught by the target teacher; the multidimensional evaluation parameters comprise student evaluation parameters, teacher evaluation parameters, and student class participation indexes, student attendance indexes and student achievement indexes; the teacher evaluation parameters are evaluation parameters generated by evaluating each course by a lesson listening teacher; the student evaluation parameters are evaluation parameters generated by students listening to courses to evaluate the courses;

2. The teaching quality evaluation system according to claim 1, wherein the comprehensive evaluation model includes an information entropy algorithm and a coefficient of variation algorithm;

The comprehensive evaluation model is used for:

3. The teaching quality evaluation system according to claim 1, wherein the information acquisition module comprises a plurality of image acquisition sub-modules of different viewing angles, and an image processing sub-module;

the image processing sub-module is used for:

4. A teaching quality assessment system according to claim 3, wherein said image processing sub-module is specifically configured to:

5. The teaching quality evaluation system according to any one of claims 1-4, wherein the information acquisition module comprises an attendance acquisition sub-module;

the attendance collection submodule is used for:

6. The teaching quality assessment system according to claim 5, wherein the information acquisition module further comprises a scoring acquisition sub-module;

the scoring acquisition submodule is used for:

7. The teaching quality assessment system of claim 6, wherein the score acquisition sub-module is communicatively coupled to a second client; the second client is used for providing communication service for the lecture-listening teacher;

The scoring acquisition sub-module is further configured to:

8. The teaching quality assessment system according to claim 7, further comprising a management module;

9. The teaching quality assessment system according to any of claims 1-4, further comprising a display;

10. A teaching quality evaluation method, characterized by being applied to the teaching quality evaluation method according to any one of claims 1 to 9, comprising:

collecting multidimensional evaluation parameters corresponding to each course taught by a target teacher; the multidimensional evaluation parameters comprise student evaluation parameters, teacher evaluation parameters, and student class participation indexes, student attendance indexes and student achievement indexes; the teacher evaluation parameters are evaluation parameters generated by evaluating each course by a lesson listening teacher; the student evaluation parameters are evaluation parameters generated by students listening to courses to evaluate the courses;