Computer digital teaching supervision system based on AI

Abstract

The invention discloses a computer digital teaching supervision system based on AI, and belongs to the technical field of teaching information supervision. The method is used for solving the technical problems that in an existing scheme, the practical operation ability supervision and analysis effect of different students in computer digital teaching is poor, and the targeted optimization and management effect on teaching courses according to the practical operation ability of the different students is poor. Monitoring and data processing are carried out on computer course practical operation of different students after computer digital teaching, analysis and dynamic marking in different aspects are carried out on practical operation states of the different students belonging to the computer course, and multi-dimensional data processing analysis is carried out on all practical operation monitoring data obtained by monitoring and processing the different students of the computer course. And according to an analysis result, carrying out dynamic updating on practical operation capabilities of different practical operation qualified students, carrying out integrated analysis on all optimization influence data obtained by teaching teachers corresponding to different historical computer course teaching supervision, and carrying out dynamic management on an existing computer digital teaching scheme.

Description

Technical Field

[0001] The present invention relates to the technical field of teaching information supervision, and in particular to a computer digital teaching supervision system based on AI. Background Art

[0002] Computer digital teaching refers to a new teaching mode that uses modern information technology means such as computer technology, network technology and multimedia technology to carry out education and training. This teaching method is not limited to the use of computer hardware equipment, but also includes the application of various digital tools and technologies such as software platforms, online resources, virtual reality, augmented reality, artificial intelligence, etc.

[0003] The existing schemes for supervising computer digital teaching have certain defects in implementation. They cannot supervise and analyze the entire practical process of different students in computer courses, obtain the practical ability of different students facing different computer courses, and adaptively manage the teaching of computer courses dynamically according to the practical ability of different students in different computer courses. There are poor results in the supervision and analysis of the practical ability of different students in computer digital teaching, and poor results in the targeted optimization management of teaching courses according to the practical ability of different students. Summary of the invention

[0004] The purpose of the present invention is to provide an AI-based computer digital teaching supervision system to solve the technical problems that the existing solutions have poor supervision and analysis effects on the practical ability of different students in computer digital teaching, and poor targeted optimization and management effects on teaching courses according to the practical ability of different students.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A computer digital teaching supervision system based on AI, comprising:

[0007] The digital teaching student practice supervision module is used to supervise and process the computer course practice of different students after computer digital teaching, and obtain the practice supervision data of different students in the computer course; the practice supervision data is obtained by sorting and combining the first student mark or the second student mark, the practice qualified student mark or the practice unqualified student mark corresponding to the student;

[0008] The digital teaching student practice analysis and processing module is used to perform multi-dimensional data processing and analysis on all the practice supervision data obtained from the supervision of different students in the computer courses, and dynamically update the practice ability of different qualified students according to the analysis results to obtain excellent students or normal students, and dynamically mark the computer courses to obtain the teaching courses to be optimized and qualified teaching courses;

[0009] The digital teaching course implementation analysis management module is used to process and digitally represent the optimization impact corresponding to the optimized teaching course, integrate and calculate all the optimization impact data obtained from the historical supervision of different computer courses, and dynamically manage the subsequent implementation of the existing computer digital teaching plan of the teaching teacher according to the analysis results;

[0010] Among them, dynamic management is carried out on the subsequent implementation of the existing computer digital teaching plan of the teaching teachers, including maintaining the existing computer digital teaching plan of the teaching teachers, or optimizing and adjusting the existing computer digital teaching plan of the teaching teachers.

[0011] Preferably, when supervising the practical operation of different students in the computer course after the computer digital teaching, the start time point and the end time point of the practical operation of different students in the computer course are obtained, and the start time point and the end time point are sorted and combined to obtain the practical operation supervision sequence corresponding to different students;

[0012] Process and analyze the practical supervision sequence, and mark the first practical status of different trainees based on the analysis results;

[0013] If all elements in the practical operation supervision sequence exist, the student is marked as the first student, and the first practical operation status identifier corresponding to the student is set to TC; wherein TC is obtained by calculating the difference between the end time point and the start time point in the practical operation supervision sequence;

[0014] If there is only one element in the practical supervision sequence, the student to which it belongs will be marked as the second student, and the first duration status flag corresponding to the student to which it belongs will be set to -1.

[0015] Preferably, when processing and analyzing the second practical operation status of all first students, the practical operation contents corresponding to different first students are obtained, and the practical operation contents of the first students are subjected to data analysis through a practical operation consistency matching model, and a practical operation consistency value CY corresponding to the practical operation content is output; the practical operation consistency value includes a value of 0 or 1;

[0016] According to the practical operation consistency value of 0, the students are marked as qualified students for practical operation;

[0017] According to the practical operation consistency value of 1, the corresponding students are marked as students who failed the practical operation;

[0018] The first student marks or the second student marks, the marks of students who passed the practical operation or the marks of students who failed the practical operation corresponding to different students are sorted and combined to obtain the practical operation supervision data of the practical operation of the corresponding computer course of the students.

[0019] Preferably, the expression of the practical consistent matching model is: In the formula, UC is the practical content of the first student; UB is the standard practical content corresponding to the computer course.

[0020] Preferably, the total number of first students N1, the total number of second students N2, and the total number of unqualified students N3 corresponding to all practical supervision data obtained by different student supervision processes are traversed and counted, and the total number of first students N1, the total number of second students N2, and the total number of unqualified students N3 are calculated by formula Calculate and obtain the unqualified impact value μ corresponding to the computer-based course; where α is a negative impact factor and is a real number greater than 1; A is the unqualified impact standard value corresponding to the computer-based course;

[0021] And, obtain the total practical items and practical supervision sequence in the practical content corresponding to different qualified practical trainees in turn, and use the formula Calculate and obtain the practical state value SZj corresponding to different qualified students; where j is different qualified students, j = 1, 2, 3, ..., m; m is a positive integer; TCj is the first practical state identification value corresponding to different qualified students; TB is the standard practical processing time corresponding to the computer course; NCi is the total practical item corresponding to different qualified students; β is the error correction factor, and the formula is used to calculate the practical state value SZj corresponding to different qualified students. Calculated; is the floor function.

[0022] Preferably, when data analysis is performed on the practical operation status value, and the practical operation capabilities associated with different practical operation qualified trainees are dynamically updated according to the analysis results;

[0023] If the practical operation status value is 1, the practical operation ability of the qualified practical operation student will be updated to the excellent practical operation student;

[0024] If the practical operation status value is greater than 1, the practical operation ability of the qualified practical operation student will be updated to the normal practical operation student;

[0025] Count the total number of normal students in practice (N4) and the total number of excellent students in practice (N5), and use the formula Calculate and obtain the qualified influence value η corresponding to the computer-based course; where ω is a positive influence factor and is a real number greater than 1; B1 and B2 are the first qualified influence standard value and the second qualified influence standard value corresponding to the computer-based course; min() means obtaining the minimum value among different real numbers.

[0026] Preferably, the unqualified impact value μ and qualified impact value η obtained by all students in the practical operation supervision of their corresponding computer courses are calculated by the formula Calculate and obtain the corresponding teaching practice value C; where K is a real number greater than 0 and less than 100;

[0027] If the teaching practice value is 1, the corresponding computer course will be marked as a teaching course to be optimized;

[0028] If the teaching practice value is 0, the corresponding computer course will be marked as a qualified teaching course.

[0029] Preferably, several novel knowledge points included in the teaching course to be optimized are obtained, and the formula Calculate and obtain the optimized influence value YL corresponding to the teaching course to be optimized; where M is the total number of all novel knowledge points contained in the teaching course to be optimized; and D is the standard optimization value corresponding to the computer course teaching teacher.

[0030] Preferably, all the optimized influence values ​​obtained by the teaching teachers for the different historical computer courses are calculated by the formula The teaching implementation validity JX corresponding to the teaching teacher is calculated; where YLp is the optimized impact value obtained by the teaching supervision of different computer courses; p is the different computer courses of history teaching corresponding to the computer course teaching teacher, p = 1, 2, 3, ..., q; q is a positive integer, which represents the total number of all computer courses of history teaching;

[0031] Conduct data analysis on the effectiveness of teaching implementation.

[0032] Preferably, if the teaching implementation validity is less than or equal to 1, the existing computer digital teaching plan of the teaching teacher is maintained;

[0033] If the teaching implementation validity is greater than 1, the existing computer digital teaching plan of the teaching teacher will be optimized and adjusted.

[0034] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0035] The present invention supervises and processes the practical operation of computer courses of different students after computer digital teaching, so as to analyze and dynamically mark the practical operation status of different students in the corresponding computer courses in different aspects, so as to obtain the practical operation status corresponding to different students, and provide reliable supervision data support for the subsequent practical operation ability update of different students and dynamic marking of teaching courses.

[0036] The present invention performs multi-dimensional data processing and analysis on all practical supervision data obtained from the supervision of different students in computer courses, dynamically updates the practical capabilities of different qualified practical students according to the analysis results, and dynamically marks the computer courses, thereby improving the practical supervision expansion effect of different qualified practical students and the supervision integration effect of computer courses.

[0037] The present invention processes and digitally represents the optimization influences corresponding to the teaching courses to be optimized, integrates and calculates all the optimization influence data obtained from the historical supervision of different computer courses, determines the implementation effect of the existing computer digital teaching plan of the teaching teacher, and dynamically manages the existing computer digital teaching plan to meet the actual practical ability needs of different practical trainees, realizes the supervision, analysis and management of different aspects of the student practice, teaching courses and teaching management of computer digital teaching, and improves the diversity and comprehensiveness of computer digital teaching supervision. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The present invention will be further described below in conjunction with the accompanying drawings.

[0039] Figure 1 This is a module block diagram of an AI-based computer digital teaching supervision system of the present invention.

[0040] Figure 2 The present invention is a flowchart of the operation of an AI-based computer digital teaching supervision system.

[0041] Figure 3 It is a flowchart of the process of processing and analyzing the practical supervision sequence in the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technical students in this field without making creative work are within the scope of protection of the present invention.

[0043] Embodiment 1, as Figure 1 to Figure 2 As shown, the present invention is a computer digital teaching supervision system based on AI, including a digital teaching student practical operation supervision module and a digital teaching student practical operation analysis and processing module;

[0044] The digital teaching student practice supervision module is used to supervise and process the computer course practice of different students after computer digital teaching, and obtain the practice supervision data of different students in the computer course; including:

[0045] When supervising the practical operation of different students after computer digital teaching, the start time and end time of the practical operation of different students are obtained, and the start time and end time are sorted and combined to obtain the practical operation supervision sequence corresponding to different students; the start time and end time are accurate to minutes;

[0046] It should be noted that the practical operation of the computer course is specifically the writing and running of computer software codes for computer majors. You need to write your own code according to the computer questions to achieve the running results required by the corresponding questions;

[0047] like Figure 3 As shown, the practical operation supervision sequence is processed and analyzed, and the first practical operation status of different students is marked according to the analysis result; the first practical operation status can specifically be whether the practical operation of the computer course is completed;

[0048] If all elements in the practical operation supervision sequence exist, the student is marked as the first student, and the first practical operation status identifier corresponding to the student is set to TC; wherein TC is obtained by calculating the difference between the end time point and the start time point in the practical operation supervision sequence;

[0049] If there is only one element in the practical supervision sequence, the student is marked as the second student, and the first duration status flag corresponding to the student is set to -1;

[0050] It is understandable that the second student specifically had not completed the practical operation and operation of the corresponding computer software code when the computer course ended, and thus could not achieve the operation result required by the corresponding question;

[0051] In the embodiment of the present invention, by processing and analyzing the practical operation supervision sequence and dynamically marking different students according to the analysis results, reliable student classification data support can be provided for the subsequent unqualified impact data analysis corresponding to the corresponding computer courses.

[0052] And, when processing and analyzing the second practical operation status of all first students, the practical operation contents corresponding to different first students are obtained, and the practical operation contents of the first students are subjected to data analysis through the practical operation consistency matching model, and the practical operation consistency value CY corresponding to the corresponding practical operation contents is output; the second practical operation status may specifically be whether the practical operation of the computer course meets the standard requirements of the practical operation; the practical operation content includes a number of practical operation sub-contents, and the practical operation sub-contents may specifically be different codes;

[0053] Among them, the expression of the practical consistent matching model is: Where, UC is the practical content of the first student; UB is the standard practical content corresponding to the computer course, which includes several standard practical sub-contents. The standard practical content can be determined by the design data of the computer course;

[0054] The practical consensus value contains the value of 0 or 1;

[0055] It should be noted that the practical operation consistency value is used to calculate the consistency of the practical operation standard data of all the first trainees classified in the early stage, so as to digitally represent and mark the practical operation qualification status corresponding to different first trainees;

[0056] According to the practical operation consistency value of 0, the students are marked as qualified students for practical operation;

[0057] According to the practical operation consistency value of 1, the corresponding students are marked as students who failed the practical operation;

[0058] The first student marks or the second student marks, the marks of students who passed the practical operation or the marks of students who failed the practical operation corresponding to different students are sorted and combined to obtain the practical operation supervision data of the practical operation of the corresponding computer course;

[0059] In the embodiment of the present invention, by supervising and processing the practical operation of computer courses of different students after computer digital teaching, different aspects of the practical operation status of different students in the corresponding computer courses can be analyzed and dynamically marked, which can not only obtain the practical operation status corresponding to different students, but also provide reliable supervision data support for the subsequent practical operation ability update of different students and dynamic marking of teaching courses.

[0060] The digital teaching student practice analysis and processing module is used to perform multi-dimensional data processing and analysis on all the practice supervision data obtained from the supervision of different students in the computer courses, dynamically update the practice ability of different qualified students according to the analysis results, obtain excellent students or normal students, and dynamically mark the computer courses to obtain the teaching courses to be optimized and qualified teaching courses; including:

[0061] Traverse and count the total number of first students N1, the total number of second students N2, and the total number of students who failed the practical operation N3 corresponding to all the practical supervision data obtained by different student supervision processes, and use the formula Calculate and obtain the unqualified impact value μ corresponding to the computer course; where α is a negative impact factor and is a real number greater than 1, and the specific value can be 1.5724; A is the unqualified impact standard value corresponding to the computer course, which can be determined by the design data of the computer course by the teaching teacher, or according to the median value of all unqualified impact values ​​corresponding to all historical computer courses;

[0062] It should be noted that the failure impact value is used to calculate the data of all failed students who failed the practical operation, so as to digitally represent the failure impact corresponding to the corresponding computer course;

[0063] And, obtain the total practical items and practical supervision sequence in the practical content corresponding to different qualified practical trainees in turn, and use the formula Calculate and obtain the practical state value SZj corresponding to different qualified students; where j is different qualified students, j = 1, 2, 3, ..., m; m is a positive integer, indicating the total number of all qualified students; TCj is the first practical state identification value corresponding to different qualified students; TB is the standard practical processing time corresponding to the computer course, which can be determined by the design data of the computer course by the teaching teacher, or according to the median of all actual practical time corresponding to all qualified students; NCi is the total practical item corresponding to different qualified students; β is the error correction factor, which is calculated by the formula Calculated; is the floor rounding function;

[0064] It should be noted that the practical status value is used to further perform different aspects of data calculation on the practical content corresponding to different qualified practical trainees, so as to digitally represent their corresponding practical identities;

[0065] It is understandable that, if the practical operation is qualified, the shorter the practical operation time and the more concise the practical operation content, the better the practical operation status of the students and the more fully they have mastered the corresponding teaching knowledge. Through the calculation and analysis of the practical operation status value, the accuracy and reliability of the supervision and analysis of the practical operation ability of different students can be further improved;

[0066] When performing data analysis on the practical operation status values ​​and dynamically updating the practical operation capabilities associated with different qualified practical operation students based on the analysis results;

[0067] If the practical operation status value is 1, the practical operation ability of the qualified practical operation student will be updated to the excellent practical operation student;

[0068] If the practical operation status value is greater than 1, the practical operation ability of the qualified practical operation student will be updated to the normal practical operation student;

[0069] In the embodiment of the present invention, by performing extended calculation and analysis on the practical identities of different qualified practical trainees, it is possible to obtain more accurate practical identities corresponding to different qualified practical trainees, and provide reliable multi-dimensional supervision data support for trainees' practical operations for subsequent data analysis of different aspects of the computer courses.

[0070] Count the total number of normal students in practice (N4) and the total number of excellent students in practice (N5), and use the formula Calculate and obtain the qualified influence value η corresponding to the computer course; where ω is a positive influence factor and is a real number greater than 1, specifically 1.7132; B1 and B2 are the first qualified influence standard value and the second qualified influence standard value corresponding to the computer course, which can be determined by the design data of the computer course by the teaching teacher, or by the historical calculation big data of the corresponding calculation data item; min() means obtaining the minimum value among different real numbers;

[0071] It should be noted that the qualified impact value is used to perform joint calculations of different types of practical qualified personnel data and different aspects of supervision data to digitally represent the qualified impact corresponding to the corresponding computer-based courses;

[0072] The unqualified impact values ​​μ and qualified impact values ​​η obtained by all students in the practical operation supervision of their respective computer courses are calculated by the formula Calculate and obtain the corresponding teaching practice value C; where K is a real number greater than 0 and less than 100, and specifically may be 60;

[0073] If the teaching practice value is 1, the corresponding computer course will be marked as a teaching course to be optimized;

[0074] If the teaching practice value is 0, the corresponding computer course will be marked as a qualified teaching course;

[0075] In an embodiment of the present invention, multi-dimensional data processing and analysis is performed on all practical supervision data obtained from the supervision of different students in the computer courses, the practical abilities of different qualified practical students are dynamically updated according to the analysis results, and the computer courses are dynamically marked, thereby improving the practical supervision expansion effect of different qualified practical students and the supervision integration effect of the computer courses.

[0076] Embodiment 2, based on the technical solution of embodiment 1, further includes:

[0077] The digital teaching course implementation analysis management module is used to process and digitally represent the optimization impact corresponding to the optimized teaching course, integrate and calculate all the optimization impact data obtained from the historical supervision of different computer courses, and dynamically manage the subsequent implementation of the existing computer digital teaching plan of the teaching teacher according to the analysis results; including:

[0078] Obtain several novel knowledge points contained in the teaching course to be optimized. The novel knowledge points are determined by the computer course teacher based on historical teaching data and are calculated through the formula Calculate and obtain the optimization influence value YL corresponding to the teaching course to be optimized; where M is the total number of all novel knowledge points contained in the teaching course to be optimized; D is the standard optimization value corresponding to the computer course teaching teacher, which can be determined according to the median value of all historical optimization influence values ​​corresponding to the computer course teaching teacher, or can be determined by the design data of the computer course by the teaching teacher;

[0079] All the optimized influence values ​​obtained by the teaching teachers in the corresponding historical computer course teaching supervision are calculated through the formula The teaching implementation validity JX corresponding to the teaching teacher is calculated; where YLp is the optimized impact value obtained by the teaching supervision of different computer courses; p is the different computer courses of history teaching corresponding to the computer course teaching teacher, p = 1, 2, 3, ..., q; q is a positive integer, which represents the total number of all computer courses of history teaching;

[0080] It should be noted that the teaching implementation validity is used to integrate and calculate the data of teaching teachers' corresponding computer digital teaching results to digitally represent the implementation effect of the corresponding existing computer digital teaching plan;

[0081] Conduct data analysis on the effectiveness of teaching implementation;

[0082] If the teaching implementation validity is less than or equal to 1, the teacher's existing computer digital teaching plan will be maintained;

[0083] If the teaching implementation validity is greater than 1, the existing computer digital teaching plan of the teaching teacher will be optimized and adjusted;

[0084] Among them, the existing computer digital teaching plans of teaching teachers are optimized and adjusted. Specifically, the total number of new knowledge points included in different computer courses and the difficulty levels of different new knowledge points can be deleted or adjusted.

[0085] In the embodiment of the present invention, the optimization influence corresponding to the teaching course to be optimized is processed and digitally represented, and all the optimization influence data obtained from the historical supervision of different computer courses are integrated and calculated and analyzed to determine the implementation effect of the existing computer digital teaching plan of the teaching teacher, and the existing computer digital teaching plan is dynamically managed to meet the actual practical ability requirements of different practical trainees, thereby realizing the supervision, analysis and management of different aspects of the student practical operation, teaching courses and teaching management of computer digital teaching, thereby improving the diversity and comprehensiveness of computer digital teaching supervision.

[0086] In addition, the formulas involved in the above are all dimensionless and numerical calculations. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it with simulation software.

[0087] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0088] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0089] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0090] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, but that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0091] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, a person skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A computer digital teaching supervision system based on AI, characterized in that: include: The digital teaching student practice supervision module is used to supervise and process the computer course practice of different students after computer digital teaching, and obtain the practice supervision data of different students in the computer course; the practice supervision data is obtained by sorting and combining the first student mark or the second student mark, the practice qualified student mark or the practice unqualified student mark corresponding to the student; The digital teaching student practice analysis and processing module is used to perform multi-dimensional data processing and analysis on all the practice supervision data obtained from the supervision of different students in the computer courses, and dynamically update the practice ability of different qualified students according to the analysis results to obtain excellent students or normal students, and dynamically mark the computer courses to obtain the teaching courses to be optimized and qualified teaching courses; The digital teaching course implementation analysis management module is used to process and digitally represent the optimization impact corresponding to the optimized teaching course, integrate and calculate all the optimization impact data obtained from the historical supervision of different computer courses, and dynamically manage the subsequent implementation of the existing computer digital teaching plan of the teaching teacher according to the analysis results; Among them, dynamic management is carried out on the subsequent implementation of the existing computer digital teaching plan of the teaching teachers, including maintaining the existing computer digital teaching plan of the teaching teachers, or optimizing and adjusting the existing computer digital teaching plan of the teaching teachers.

2. According to claim 1, a computer digital teaching supervision system based on AI is characterized in that: When supervising the practical operation of different students after computer digital teaching, the start time point and the end time point of the practical operation of different students are obtained, and the start time point and the end time point are sorted and combined to obtain the practical operation supervision sequence corresponding to different students; Process and analyze the practical supervision sequence, and mark the first practical status of different trainees based on the analysis results; If all elements in the practical operation supervision sequence exist, the student is marked as the first student, and the first practical operation status identifier corresponding to the student is set to TC; wherein TC is obtained by calculating the difference between the end time point and the start time point in the practical operation supervision sequence; If there is only one element in the practical supervision sequence, the student to which it belongs will be marked as the second student, and the first duration status flag corresponding to the student to which it belongs will be set to -1.

3. According to claim 2, a computer digital teaching supervision system based on AI is characterized in that: When processing and analyzing the second practical operation status of all first students, the practical operation contents corresponding to different first students are obtained, and the practical operation contents of the first students are subjected to data analysis through the practical operation consistency matching model, and the practical operation consistency value CY corresponding to the corresponding practical operation content is output; the practical operation consistency value includes a value of 0 or 1; According to the practical operation consistency value of 0, the students are marked as qualified students for practical operation; According to the practical operation consistency value of 1, the corresponding students are marked as students who failed the practical operation; The first student marks or the second student marks, the marks of students who passed the practical operation or the marks of students who failed the practical operation corresponding to different students are sorted and combined to obtain the practical operation supervision data of the practical operation of the corresponding computer course of the students.

4. According to claim 2, a computer digital teaching supervision system based on AI is characterized in that: The expression of the practical consistent matching model is: In the formula, UC is the practical content of the first student; UB is the standard practical content corresponding to the computer course.

5. According to claim 3, a computer digital teaching supervision system based on AI is characterized in that: Traverse and count the total number of first students N1, the total number of second students N2, and the total number of students who failed the practical operation N3 corresponding to all the practical supervision data obtained by different student supervision processes, and use the formula Calculate and obtain the unqualified impact value μ corresponding to the computer-based course; where α is a negative impact factor and is a real number greater than 1; A is the unqualified impact standard value corresponding to the computer-based course; And, obtain the total practical items and practical supervision sequence in the practical content corresponding to different qualified practical trainees in turn, and use the formula Calculate and obtain the practical operation status values ​​SZj corresponding to different practical operation qualified students; where j is different practical operation qualified students, j = 1, 2, 3, ..., m; m is a positive integer; TCj is the first practical operation status identification value corresponding to different qualified students; TB is the standard practical operation processing time corresponding to the corresponding computer course; NCi is the total practical operation item corresponding to different qualified students; β is the error correction factor, which is calculated by the formula Calculated; is the floor function.

6. The AI-based computer digital teaching supervision system according to claim 5 is characterized in that: When performing data analysis on the practical operation status values ​​and dynamically updating the practical operation capabilities associated with different qualified practical operation students based on the analysis results; If the practical operation status value is 1, the practical operation ability of the qualified practical operation student will be updated to the excellent practical operation student; If the practical operation status value is greater than 1, the practical operation ability of the qualified practical operation student will be updated to the normal practical operation student; Count the total number of normal students in practice (N4) and the total number of excellent students in practice (N5), and use the formula Calculate and obtain the qualified influence value η corresponding to the computer-based course; where ω is a positive influence factor and is a real number greater than 1; B1 and B2 are the first qualified influence standard value and the second qualified influence standard value corresponding to the computer-based course; min() means getting the minimum value among different real numbers.

7. The AI-based computer digital teaching supervision system according to claim 6 is characterized in that: The unqualified impact values ​​μ and qualified impact values ​​η obtained by all students in the practical operation supervision of their respective computer courses are calculated by the formula Calculate and obtain the corresponding teaching practice value C; where K is a real number greater than 0 and less than 100; If the teaching practice value is 1, the corresponding computer course will be marked as a teaching course to be optimized; If the teaching practice value is 0, the corresponding computer course will be marked as a qualified teaching course.

8. The AI-based computer digital teaching supervision system according to claim 7 is characterized in that: Obtain several novel knowledge points contained in the teaching course to be optimized, and use the formula Calculate and obtain the optimized influence value YL corresponding to the teaching course to be optimized; where M is the total number of all novel knowledge points contained in the teaching course to be optimized; and D is the standard optimization value corresponding to the computer course teaching teacher.

9. The AI-based computer digital teaching supervision system according to claim 8 is characterized in that: All the optimized influence values ​​obtained by the teaching teachers in the corresponding historical computer course teaching supervision are calculated through the formula The teaching implementation validity JX corresponding to the teaching teacher is calculated; where YLp is the optimized impact value obtained by the teaching supervision of different computer courses; p is the different computer courses of history teaching corresponding to the computer course teaching teacher, p = 1, 2, 3, ..., q; q is a positive integer, which represents the total number of all computer courses of history teaching; Conduct data analysis on the effectiveness of teaching implementation.

10. The AI-based computer digital teaching supervision system according to claim 9, characterized in that: If the teaching implementation validity is less than or equal to 1, the teacher's existing computer digital teaching plan will be maintained; If the teaching implementation validity is greater than 1, the existing computer digital teaching plan of the teaching teacher will be optimized and adjusted.

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