Teaching evaluation method and system and storage medium

Abstract

The invention discloses a teaching evaluation method and system and a storage medium, and relates to the field of teaching quality monitoring, and the system comprises an evaluation center which is in communication connection with a data collection module, a data processing module, a data evaluation module and an evaluation feedback module. The data acquisition module is used for performing information acquisition on a medical teaching process to obtain corresponding teaching information and a face database; the data processing module is used for performing data processing on the obtained face database to obtain corresponding visual information; the data evaluation module is used for performing teaching evaluation on a corresponding medical teaching process based on the obtained visual data to obtain a corresponding teaching evaluation score; the teaching evaluation score comprises a student evaluation score and a teacher evaluation score; the evaluation feedback module is used for taking corresponding feedback based on the obtained teaching evaluation score; the system is beneficial for assisting medical teachers in improving the teaching quality.

Description

Technical Field

[0001] The present invention relates to the field of teaching quality monitoring, and in particular to a teaching evaluation method, system and storage medium. Background Art

[0002] With the development of educational informatization, teaching evaluation, as an important means to improve teaching quality, has received more and more attention.

[0003] Compared with existing technologies, traditional teaching evaluation relies more on manual operations, which is time-consuming, labor-intensive and highly subjective, making it difficult to achieve a comprehensive and objective evaluation. These are the problems we need to solve, and for this purpose we provide a teaching evaluation method, system and storage medium. Summary of the invention

[0004] The purpose of the present invention is to provide a teaching evaluation method, system and storage medium.

[0005] The object of the present invention can be achieved by the following technical solutions: A teaching evaluation system includes an evaluation center, wherein the evaluation center is communicatively connected with a data acquisition module, a data processing module, a data evaluation module and an evaluation feedback module;

[0006] The data acquisition module is used to collect information about the medical teaching process and obtain corresponding teaching information and a face database;

[0007] The data processing module is used to process the acquired face database to obtain corresponding visual information;

[0008] The data evaluation module is used to perform teaching evaluation on the corresponding medical teaching process based on the obtained visual data to obtain a corresponding teaching evaluation score; the teaching evaluation score includes a student evaluation score and a teacher evaluation score;

[0009] The evaluation feedback module is used to take corresponding feedback based on the obtained teaching evaluation scores.

[0010] Furthermore, the data collection module collects information about the medical teaching process, and the process of obtaining corresponding teaching information and face database includes:

[0011] The data acquisition module is provided with a capture node and a monitoring node, and the capture node is used to collect relevant information of medical courses in the corresponding medical school to obtain corresponding teaching information;

[0012] The monitoring node is provided with a voice acquisition terminal and a video acquisition terminal, and based on the monitoring node, voice acquisition and video acquisition are performed on the corresponding medical teaching process to obtain corresponding voice data and corresponding video information;

[0013] Based on face recognition technology, the face information of the participants of the corresponding medical teaching process in the corresponding video information is identified; the corresponding face images are obtained, and a face database is constructed based on the face images, and the participants include teachers and students.

[0014] Furthermore, the data processing module processes the acquired face database to obtain corresponding visual information, which includes:

[0015] Acquire the constructed face database, perform image preprocessing on the face images in the corresponding face database; after the image preprocessing is completed, read the corresponding face image, perform feature extraction on the corresponding face image, and obtain corresponding first feature data; and construct a pupil-cornea reflection vector based on the first feature data;

[0016] A mapping model is constructed based on the geometric structure and optical properties of the eyeball; at the same time, relevant features of the medical classroom where the corresponding medical teaching process is located are obtained, and a corresponding three-dimensional classroom model is constructed based on the features;

[0017] Obtaining location information of corresponding participants in the corresponding medical classroom based on the collected video information, and marking it in the three-dimensional classroom model;

[0018] After the marking is completed, the pupil-cornea reflection vector corresponding to the corresponding participant is input into the constructed mapping model, and then the mapping model performs perspective mapping based on the marked position of the corresponding participant in the three-dimensional classroom model to obtain the corresponding gaze point;

[0019] Mark the corresponding gaze points one by one based on the time nodes corresponding to the corresponding face images to obtain the corresponding gaze heat map;

[0020] Further, reading the corresponding video information, extracting pupil features of the corresponding participants based on computer vision technology, and obtaining corresponding second feature data, wherein the second feature data includes pupil dilation information and eye saccade information;

[0021] The obtained gaze heat map and the second characteristic data are aggregated to obtain corresponding visual information, and identity association is synchronously performed on the corresponding visual information based on the identity information of the participants.

[0022] Further, the process of obtaining the corresponding student evaluation score includes:

[0023] Obtaining a gaze heat map within visual information of the participant being a student based on the identity association;

[0024] Based on the gaze heat map, and in combination with the constructed three-dimensional classroom model, the hot spot area corresponding to the corresponding student is obtained; and the hot spot information corresponding to the corresponding hot spot area is obtained;

[0025] At the same time, based on the mapping time of the corresponding gaze point in the corresponding gaze heat map in the three-dimensional classroom model, the gaze tracking data is used to generate the student's sight movement trajectory map;

[0026] An evaluation model is constructed, and the hot spot information, the eye movement trajectory map and the second feature data of the corresponding students are input into the evaluation model as input parameters to obtain the corresponding quality score, which is marked as the student evaluation score.

[0027] Furthermore, the process of obtaining the corresponding teacher evaluation score includes:

[0028] Obtaining a gaze heat map within visual information of the participant being a teacher based on the identity association;

[0029] Based on the constructed three-dimensional classroom model, the areas where students are located in the corresponding medical classroom are divided to obtain several teaching areas;

[0030] Based on the gaze heat map, the visual focus point and the number of visual focus points of the corresponding teacher in each teaching area are obtained;

[0031] Obtain the ratio of the number of visual points in the corresponding teaching area to the total number of visual points, and record it as the attention coefficient;

[0032] Setting an attention threshold, comparing the obtained attention coefficient with the attention threshold, and classifying the corresponding teaching areas according to the comparison result to obtain the corresponding area level;

[0033] After the level division is completed, obtain the student evaluation scores corresponding to all students in the corresponding teaching area, and obtain the average value, which is marked as the regional score;

[0034] Then, based on the regional score and the attention coefficient, a regional assessment score corresponding to the corresponding teaching area is obtained;

[0035] The same method of obtaining regional assessment scores as mentioned above is used to obtain regional assessment scores for all teaching areas, and the obtained regional assessment scores are weighted and summed to obtain corresponding teacher assessment scores.

[0036] Furthermore, the process of the evaluation feedback module taking corresponding feedback based on the obtained teaching evaluation score includes:

[0037] Acquire the collected teaching information, and acquire the lesson preparation information of the teacher corresponding to the corresponding medical teaching process based on the teaching information;

[0038] Dividing the corresponding medical teaching process into periods based on the lesson preparation information and the collected voice data to obtain a number of teaching periods;

[0039] Obtain the student evaluation scores corresponding to all students in the corresponding teaching cycle;

[0040] Set a scoring threshold, compare the corresponding student's evaluation score with the evaluation threshold, and if the corresponding student's evaluation score is lower than the evaluation threshold, mark the corresponding student as a student to be assisted;

[0041] Count the number of students marked as needing assistance in the corresponding teaching cycle, compare it with the preset standard, and judge whether the teaching quality in the corresponding teaching cycle is qualified based on the comparison result;

[0042] If qualified, the corresponding teacher evaluation score will be used as the final teaching quality score and fed back to the evaluation center;

[0043] If unqualified, feedback is given to the assessment center, and the assessment center obtains corresponding auxiliary suggestions based on the feedback and feeds them back to the corresponding medical teaching teachers; and increases the corresponding auxiliary cycle;

[0044] Based on the above teaching evaluation score acquisition process, the corresponding auxiliary period is processed to obtain the teaching evaluation score corresponding to the corresponding auxiliary period;

[0045] The average value of the teaching evaluation scores corresponding to the corresponding teaching cycle and auxiliary cycle is obtained, marked as the final teaching quality score of the corresponding medical teaching process, and fed back to the evaluation center for recording.

[0046] Furthermore, a teaching evaluation method comprises the following steps:

[0047] Step 1: Collect information about the medical teaching process and obtain the corresponding teaching information and face database;

[0048] Step 2: Process the acquired face database to obtain corresponding visual information;

[0049] Step 3: Conduct teaching evaluation on the corresponding medical teaching process based on the obtained visual data and obtain the corresponding teaching evaluation score

[0050] Step 4: Take appropriate feedback measures based on the teaching evaluation scores obtained.

[0051] The third aspect of the present invention also provides a computer-readable storage medium, which includes a teaching evaluation system program. When the teaching evaluation system program is executed, the steps of a teaching evaluation system as described in any one of the above items are implemented.

[0052] Compared with the prior art, the beneficial effects of the present invention are: through a closed-loop process of data collection, processing, evaluation and feedback, the present invention realizes comprehensive monitoring and accurate evaluation of the medical teaching process, improves the objectivity and accuracy of teaching evaluation, and provides strong support for improving teaching quality; it can more truly reflect the fairness of teachers' classroom teaching. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is a system principle diagram of the present invention.

[0054] Figure 2 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0055] like Figure 1 As shown, a teaching evaluation system includes an evaluation center, wherein the evaluation center is communicatively connected with a data acquisition module, a data processing module, a data evaluation module and an evaluation feedback module;

[0056] The data acquisition module is used to collect information about the medical teaching process and obtain corresponding teaching information and a face database;

[0057] It should be further explained that, in the specific implementation process, the data acquisition module collects information about the medical teaching process, and the process of obtaining corresponding teaching information and face database includes:

[0058] The data acquisition module is provided with a capture node and a monitoring node. The capture node is connected to the teaching terminal of the corresponding medical school through a network port, and collects medical course related information in the corresponding medical school based on the network port to obtain corresponding teaching information, and the teaching information includes but is not limited to information such as course time and course location;

[0059] The monitoring node is provided with a voice acquisition terminal and a video acquisition terminal, and based on the monitoring node, voice acquisition and video acquisition are performed on the corresponding medical teaching process to obtain corresponding voice data and corresponding video information; the video information includes the corresponding medical classroom, teachers and students;

[0060] Read the collected video information, perform image division on the obtained video information, and obtain a number of continuous video frame images;

[0061] Based on face recognition technology, faces in corresponding video frame images are recognized in time sequence to obtain face images of participants in the corresponding medical teaching process, wherein the participants include teachers and students;

[0062] Counting the identified face images according to the identity information of the participants, and arranging them in chronological order to obtain a corresponding face image set;

[0063] Then, the face image sets corresponding to all participants are counted, and the corresponding face database is obtained based on them.

[0064] The data processing module is used to process the acquired face database to obtain corresponding visual information;

[0065] It should be further explained that, in the specific implementation process, the data processing module processes the acquired face database to obtain corresponding visual information, which includes:

[0066] Acquire the constructed face database, and perform image preprocessing on the face images in the corresponding face database, wherein the image preprocessing includes image denoising and color enhancement to improve the image quality for subsequent image processing;

[0067] The image denoising is to use a Gaussian filtering algorithm to perform low-pass filtering on the corresponding face image to remove noise in the corresponding face image;

[0068] The color enhancement is to use an adaptive equalization histogram algorithm to perform color enhancement on the face image after the image denoising process, so as to improve the image quality, facilitate the subsequent acquisition of facial detail features, and make the corresponding image more vivid, more textured and three-dimensional;

[0069] After the image preprocessing is completed, the face image set corresponding to the corresponding participant is obtained, and the face images in the corresponding face image set are numbered, denoted as i, where i = 1, 2, ..., n, n>0 and n is an integer;

[0070] Reading a corresponding face image i, and performing feature extraction on the corresponding face image to obtain corresponding first feature data, wherein the first feature data includes key features such as pupil center and corneal reflection point;

[0071] Furthermore, constructing a pupil-cornea reflection vector based on the first feature data, wherein the pupil-cornea reflection vector is a directed line segment pointing from the pupil center to the cornea reflection point, and contains information about the rotation direction and angle of the eyeball;

[0072] A mapping model is constructed based on the geometric structure and optical characteristics of the eyeball, wherein the mapping model is used to map the obtained pupil-cornea reflection vector to obtain a corresponding gaze point;

[0073] At the same time, relevant features of the medical classroom where the corresponding medical teaching process is located are obtained, and the relevant features of the corresponding medical classroom are corrected based on the collected video information, and after the correction is completed, a corresponding three-dimensional classroom model is constructed based on it;

[0074] Obtaining location information of corresponding participants in the corresponding medical classroom based on the collected video information, and marking it in the three-dimensional classroom model;

[0075] After the marking is completed, the pupil-cornea reflection vector corresponding to the corresponding participant is input into the constructed mapping model, and then the mapping model performs perspective mapping based on the marked position of the corresponding participant in the three-dimensional classroom model to obtain the corresponding gaze point I; wherein I=i;

[0076] Then, the corresponding gaze point I is marked one by one based on the time node corresponding to the corresponding face image i, and the corresponding gaze heat map is obtained; it should be further explained that the gaze heat map represents the distribution state of the gaze points, wherein the more gaze points there are at the same position, the higher the heat value of the corresponding position;

[0077] Further, reading the corresponding video information, extracting pupil features of the corresponding participants based on computer vision technology, and obtaining corresponding second feature data, wherein the second feature data includes pupil dilation information and eye saccade information;

[0078] The obtained gaze heat map and the second characteristic data are aggregated to obtain corresponding visual information, and identity association is synchronously performed on the corresponding visual information based on the identity information of the participants.

[0079] The data evaluation module is used to perform teaching evaluation on the corresponding medical teaching process based on the obtained visual data to obtain a corresponding teaching evaluation score;

[0080] It should be further explained that, in the specific implementation process, the data evaluation module performs teaching evaluation on the corresponding medical teaching process based on the obtained visual data, and the process of obtaining the corresponding teaching evaluation score includes:

[0081] The data evaluation module includes a student evaluation unit and a teacher evaluation unit;

[0082] The student evaluation unit is used to evaluate the learning quality of students participating in the corresponding medical teaching process based on the obtained visual data to obtain corresponding student evaluation scores; the corresponding evaluation process is as follows:

[0083] Obtaining a gaze heat map within visual information of the participant being a student based on the identity association;

[0084] Based on the gaze heat map and in combination with the constructed three-dimensional classroom model, a hot spot area corresponding to the corresponding student is obtained, wherein the hot spot area indicates an area where the corresponding student gazes with high frequency or for a long time;

[0085] Obtaining hot spot information corresponding to the corresponding hot spot area, wherein the hot spot information includes gaze time, gaze number, gaze density, etc.;

[0086] At the same time, based on the mapping time of the corresponding gaze points in the corresponding gaze heat map in the three-dimensional classroom model, the gaze tracking data is used to generate the student's sight movement trajectory map; which is helpful to understand the student's sight flow path and dwell time when watching medical teaching materials; the medical teaching materials include teaching blackboards, PPTs, videos, etc.;

[0087] Constructing corresponding training sets and test sets based on the obtained hotspot information, the sight movement trajectory map and the second feature data;

[0088] An initial evaluation model is constructed, and the corresponding initial evaluation model is iteratively trained based on the training set, and when the loss function of the corresponding initial evaluation model is stable, the model parameters are saved, and the model is verified based on the test set. If the verification fails, the iterative training is continued; if the verification passes, a corresponding evaluation model is obtained, and the evaluation model is used to perform a quality evaluation on the student attention allocation, cognitive load and information processing ability of the corresponding student based on the hotspot information, the sight movement trajectory map and the second feature data, and obtain a corresponding quality score; wherein, the construction of the initial evaluation model is a prior art, and the present invention will not elaborate on it too much;

[0089] Inputting the corresponding student as an input parameter into the evaluation model, obtaining the corresponding quality score, and marking it as the student evaluation score;

[0090] The teacher evaluation unit is used to evaluate the corresponding medical teaching process based on the obtained student evaluation score to obtain the corresponding teacher evaluation score; the corresponding evaluation process is as follows:

[0091] Obtaining a gaze heat map within visual information of the participant being a teacher based on the identity association;

[0092] Based on the constructed three-dimensional classroom model, the areas where students are located in the corresponding medical classroom are divided to obtain several teaching areas;

[0093] Based on the gaze heat map, the visual focus point and the number of visual focus points of the corresponding teacher in each teaching area are obtained, wherein the more the number of focus points in the corresponding teaching area is, the longer the teacher's gaze time is, that is, the higher the degree of attention is;

[0094] Obtain the ratio of the number of visual points in the corresponding teaching area to the total number of visual points, and record it as the attention coefficient K1; where K1∈(0,10); 0 means no attention, and 10 means focused attention;

[0095] An attention threshold is set, the obtained attention coefficient is compared with the attention threshold, and the corresponding teaching area is graded according to the comparison result; the area grades include primary area, secondary area and tertiary area; wherein the value of the attention coefficient K under different area grades is: primary area>secondary area>tertiary area;

[0096] After the level division is completed, the student evaluation scores corresponding to all students in the corresponding teaching area are obtained, and the average value is obtained and marked as the regional score K2;

[0097] Then, based on the regional score and the attention coefficient, a regional assessment score corresponding to the corresponding teaching area is obtained;

[0098] The same method of obtaining regional assessment scores as mentioned above is used to obtain regional assessment scores for all teaching areas, and the obtained regional assessment scores are weighted and summed to obtain corresponding teacher assessment scores, wherein the higher the regional level of the teaching area, the higher the weight ratio of the regional assessment score corresponding to the corresponding teaching area.

[0099] The evaluation feedback module is used to provide corresponding feedback based on the obtained teaching evaluation scores;

[0100] It should be further explained that, in the specific implementation process, the process in which the evaluation feedback module takes corresponding feedback based on the obtained teaching evaluation score includes:

[0101] Acquire the collected teaching information, acquire the lesson preparation information of the teacher corresponding to the corresponding medical teaching process based on the teaching information, and then divide the corresponding medical teaching process into periods based on the lesson preparation information and the collected voice data to obtain a number of teaching periods;

[0102] Obtain the student evaluation scores corresponding to all students in the corresponding teaching cycle;

[0103] Set a scoring threshold, compare the corresponding student's evaluation score with the evaluation threshold, and if the corresponding student's evaluation score is lower than the evaluation threshold, mark the corresponding student as a student to be assisted;

[0104] Count the number of students marked as needing assistance in the corresponding teaching cycle, compare it with the preset standard, and judge whether the teaching quality in the corresponding teaching cycle is qualified based on the comparison result;

[0105] If qualified, the corresponding teacher evaluation score will be used as the final teaching quality score and fed back to the evaluation center;

[0106] If the student fails to pass the test, the medical knowledge points involved in the corresponding teaching cycle are obtained based on the lesson preparation information and the collected voice data, and the information is fed back to the assessment center. At the same time, the seat information of the corresponding student to be assisted in the corresponding medical classroom is obtained;

[0107] Furthermore, the evaluation center performs information retrieval based on the medical knowledge points to obtain corresponding retrieval information, which includes actual cases, knowledge extension content, etc., and generates corresponding auxiliary suggestions based on the information; further, the evaluation center feeds back the corresponding auxiliary suggestions and information to the corresponding medical teaching teachers, and increases the corresponding auxiliary cycle;

[0108] Further, based on the above teaching evaluation score acquisition process, the auxiliary cycle is processed to obtain the teaching evaluation score corresponding to the corresponding auxiliary cycle;

[0109] The average value of the teaching evaluation scores corresponding to the corresponding teaching cycle and auxiliary cycle is obtained, marked as the final teaching quality score of the corresponding medical teaching process, and fed back to the evaluation center for recording.

[0110] like Figure 2 As shown, a teaching evaluation method comprises the following steps:

[0111] Step 1: Collect information about the medical teaching process and obtain the corresponding teaching information and face database;

[0112] Step 2: Process the acquired face database to obtain corresponding visual information;

[0113] Step 3: Conduct teaching evaluation on the corresponding medical teaching process based on the obtained visual data and obtain the corresponding teaching evaluation score

[0114] Step 4: Take appropriate feedback measures based on the teaching evaluation scores obtained.

[0115] The third aspect of the present invention also provides a computer-readable storage medium, which includes a teaching evaluation system program. When the teaching evaluation system program is executed, the steps of a teaching evaluation system as described in any one of the above items are implemented.

[0116] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0117] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, the functional units in the embodiments of the present invention may be all integrated in one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated in one unit; the above integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units. A person of ordinary skill in the art may understand that all or part of the steps of implementing the above method embodiments may be completed by hardware related to program instructions, and the aforementioned program may be stored in a computer-readable storage medium, and when the program is executed, the steps of the above method embodiments are executed; and the aforementioned storage medium includes: mobile storage devices, read-only memory (ROM, Read-OnlyMemory), random access memory (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0118] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

[0119] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A teaching evaluation system, characterized in that: It includes an evaluation center, which is communicatively connected with a data acquisition module, a data processing module, a data evaluation module and an evaluation feedback module; The data acquisition module is used to collect information about the medical teaching process and obtain corresponding teaching information and a face database; The data processing module is used to process the acquired face database to obtain corresponding visual information; The data evaluation module is used to perform teaching evaluation on the corresponding medical teaching process based on the obtained visual data to obtain a corresponding teaching evaluation score; the teaching evaluation score includes a student evaluation score and a teacher evaluation score; The evaluation feedback module is used to take corresponding feedback based on the obtained teaching evaluation scores.

2. A teaching evaluation center according to claim 1, characterized in that: The data acquisition module collects information about the medical teaching process and obtains the corresponding teaching information and face database, including: The data acquisition module is provided with a capture node and a monitoring node, and the capture node is used to collect relevant information of medical courses in the corresponding medical school to obtain corresponding teaching information; The monitoring node is provided with a voice acquisition terminal and a video acquisition terminal, and based on the monitoring node, voice acquisition and video acquisition are performed on the corresponding medical teaching process to obtain corresponding voice data and corresponding video information; Based on face recognition technology, the face information of the participants in the corresponding medical teaching process in the corresponding video information is identified; the corresponding face images are obtained, and a face database is constructed based on the face images, and the participants include teachers and students.

3. A teaching evaluation center according to claim 2, characterized in that: The data processing module processes the acquired face database to obtain corresponding visual information, which includes: Acquire the constructed face database, perform image preprocessing on the face images in the corresponding face database; after the image preprocessing is completed, read the corresponding face image, perform feature extraction on the corresponding face image, and obtain corresponding first feature data; and construct a pupil-cornea reflection vector based on the first feature data; A mapping model is constructed based on the geometric structure and optical properties of the eyeball; at the same time, the relevant features of the medical classroom corresponding to the corresponding medical teaching process are obtained, and a corresponding three-dimensional classroom model is constructed based on the features; Obtaining location information of corresponding participants in the corresponding medical classroom based on the collected video information, and marking it in the three-dimensional classroom model; After the marking is completed, the pupil-cornea reflection vector corresponding to the corresponding participant is input into the constructed mapping model, and then the mapping model performs perspective mapping based on the marked position of the corresponding participant in the three-dimensional classroom model to obtain the corresponding gaze point; Mark the corresponding gaze points one by one based on the time nodes corresponding to the corresponding face images to obtain the corresponding gaze heat map; Further, reading the corresponding video information, extracting pupil features of the corresponding participants based on computer vision technology, and obtaining corresponding second feature data, wherein the second feature data includes pupil dilation information and eye saccade information; The obtained gaze heat map and the second characteristic data are aggregated to obtain corresponding visual information, and identity association is synchronously performed on the corresponding visual information based on the identity information of the participants.

4. A teaching evaluation center according to claim 3, characterized in that: The process for obtaining an appropriate student assessment score includes: Obtaining a gaze heat map within visual information of the participant being a student based on the identity association; Based on the gaze heat map, and in combination with the constructed three-dimensional classroom model, the hot spot area corresponding to the corresponding student is obtained; and the hot spot information corresponding to the corresponding hot spot area is obtained; At the same time, based on the mapping time of the corresponding gaze point in the corresponding gaze heat map in the three-dimensional classroom model, the gaze tracking data is used to generate the student's sight movement trajectory map; An evaluation model is constructed, and the hot spot information, the eye movement trajectory map and the second feature data of the corresponding students are input into the evaluation model as input parameters to obtain the corresponding quality score, which is marked as the student evaluation score.

5. A teaching evaluation center according to claim 4, characterized in that: The process of obtaining the corresponding teacher evaluation score includes: Obtaining a gaze heat map within visual information of the participant being a teacher based on the identity association; Based on the constructed three-dimensional classroom model, the areas where students are located in the corresponding medical classroom are divided to obtain several teaching areas; Based on the gaze heat map, the visual focus point and the number of visual focus points of the corresponding teacher in each teaching area are obtained; Obtain the ratio of the number of visual points in the corresponding teaching area to the total number of visual points, and record it as the attention coefficient; Setting an attention threshold, comparing the obtained attention coefficient with the attention threshold, and classifying the corresponding teaching areas according to the comparison result to obtain the corresponding area level; After the level division is completed, obtain the student evaluation scores corresponding to all students in the corresponding teaching area, and obtain the average value, which is marked as the regional score; Then, based on the regional score and the attention coefficient, a regional assessment score corresponding to the corresponding teaching area is obtained; The same method of obtaining regional assessment scores as mentioned above is used to obtain regional assessment scores for all teaching areas, and the obtained regional assessment scores are weighted and summed to obtain corresponding teacher assessment scores.

6. A teaching evaluation center according to claim 5, characterized in that: The process of the evaluation feedback module taking corresponding feedback based on the obtained teaching evaluation score includes: Acquire the collected teaching information, and acquire the lesson preparation information of the teacher corresponding to the corresponding medical teaching process based on the teaching information; Dividing the corresponding medical teaching process into periods based on the lesson preparation information and the collected voice data to obtain a number of teaching periods; Obtain the student evaluation scores corresponding to all students in the corresponding teaching cycle; Set a scoring threshold, compare the corresponding student's evaluation score with the evaluation threshold, and if the corresponding student's evaluation score is lower than the evaluation threshold, mark the corresponding student as a student to be assisted; Count the number of students marked as needing assistance in the corresponding teaching cycle, compare it with the preset standard, and judge whether the teaching quality in the corresponding teaching cycle is qualified based on the comparison result; If qualified, the corresponding teacher evaluation score will be used as the final teaching quality score and fed back to the evaluation center; If unqualified, feedback is given to the assessment center, and the assessment center obtains corresponding auxiliary suggestions based on the feedback and feeds them back to the corresponding medical teaching teachers; and increases the corresponding auxiliary cycle; Based on the above teaching evaluation score acquisition process, the corresponding auxiliary period is processed to obtain the teaching evaluation score corresponding to the corresponding auxiliary period; The average value of the teaching evaluation scores corresponding to the corresponding teaching cycle and auxiliary cycle is obtained, marked as the final teaching quality score of the corresponding medical teaching process, and fed back to the evaluation center for recording.

7. A teaching evaluation method according to any one of claims 1 to 6, characterized in that: The following steps are involved: Step 1: Collect information about the medical teaching process and obtain the corresponding teaching information and face database; Step 2: Process the acquired face database to obtain corresponding visual information; Step 3: Conduct teaching evaluation on the corresponding medical teaching process based on the obtained visual data and obtain the corresponding teaching evaluation score Step 4: Take appropriate feedback measures based on the teaching evaluation scores obtained.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a teaching evaluation system program, and when the teaching evaluation system program is executed, the steps of a teaching evaluation system as described in any one of claims 1 to 6 are implemented.

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