Virtual simulation management method suitable for teaching

Abstract

The invention relates to the technical field of internet education, in particular to a virtual simulation management method suitable for teaching, which comprises the following steps of: collecting specific information of students and storing the specific information into a student information table, establishing a unique identity label for each student, verifying the data after score data is received, and storing the score data into a database; the accuracy and effectiveness of the score data are ensured; after score data of the students are read, preprocessing the data, setting score evaluation standards, screening out insufficient subjects of each student according to the evaluation standards, and recording the insufficient subjects in a student score evaluation result table; constructing a practice question library, generating personalized comprehensive practice test paper, and dynamically adjusting the content of the practice test paper according to the historical practice condition and the learning progress of the student; and effect evaluation is carried out through the knowledge point mastering degree improvement value of the student after the exercise. Practice information of students is recorded in detail, and teachers are helped to know learning habits and learning efficiency of the students.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet education, and in particular to a virtual simulation management method suitable for teaching. Background Art

[0002] With the rapid development of information technology, the field of education has also ushered in unprecedented changes. The traditional teaching model has gradually shifted to digitalization and networking. Management tools based on computer technology and network technology can effectively organize and manage various resources in the virtual teaching process. Through simulation management, teachers can easily create, edit and publish courses, and students can access course resources anytime and anywhere for independent learning. At the same time, simulation management can also monitor and evaluate students' learning process in real time, provide teachers with targeted teaching suggestions, thereby improving teaching quality, and provide teachers with a comprehensive teaching view to help teachers better understand students' learning situation and develop personalized teaching plans.

[0003] In the existing virtual simulation management, multi-dimensional performance analysis cannot be performed. It only focuses on the total score of the students, making it difficult to fully grasp the students' learning situation. It is impossible to know the fluctuation of students' grades and thus cannot provide effective teaching for students' specific problems. It is impossible to meet personalized learning needs. Moreover, each student has different learning progress and weak knowledge points. A unified connection may be too simple or difficult for some students and cannot effectively improve their learning outcomes. Summary of the invention

[0004] The present invention aims at the technical problems existing in the prior art and provides a virtual simulation management method suitable for teaching.

[0005] The technical solution of the present invention to solve the above technical problems is as follows: A virtual simulation management method suitable for teaching comprises the following steps: S101. Collect students' specific information and store it in the student information table, establish a unique identity for each student, and verify the data after receiving the score data to ensure the accuracy and validity of the score data; S102, after reading the student's score data, pre-process the data, calculate each student's subject score information for each student, and set the score evaluation standard, according to the evaluation standard, screen out each student's deficient subjects, and record them in the student score evaluation result table; S103, constructing a practice question database, forming a personalized comprehensive practice test paper based on the student's deficient subjects and the results of the performance analysis, and dynamically adjusting the content of the practice test paper based on the student's historical practice situation and learning progress; S104. Evaluate the effectiveness of the students' personalized practice results based on the improvement in the students' knowledge mastery after this practice, and evaluate the usefulness of the personalized practice test paper to the students and the degree of progress of the students.

[0006] In a preferred embodiment, in S101, a student information entry unit is created, and basic information of students, including name, student number, age and class information, is input through the student information entry unit, and this information is stored in the student information table of the database, and a unique identity is established for each student. Through the score entry unit, the teacher enters the test scores of the student training book according to the subject and the test time. After receiving the score data, the data is verified to ensure the accuracy and validity of the score data. The student's subject score is recorded as S, and the full score of the subject is F. The score validity judgment formula is as follows: ; when When the result is 1, it means that the score value is within the valid range and can be entered. When the result is 0, it means that the grade does not meet the requirements and should be re-entered. The grade after validity judgment is stored in the grade data table and associated with the corresponding student information. The grade data update function is provided. When there is a grade modification and a make-up grade entry, the stored grade is updated and the student's total grade is calculated. The student has n regular homeworks, and the grade of each homework is , the test score is E, and the weight of the homework score in the comprehensive score is , the weight of the test score in the comprehensive score is 2, the specific calculation formula of the comprehensive score G is as follows: ; Among them, M represents the full score of regular homework.

[0007] In a preferred embodiment, in S102, the student's score data is obtained, the data is cleaned and sorted, missing score data is processed, the score data set is traversed, and the number of missing scores in each subject is counted, and the set of all non-missing scores in the subject is recorded as { }, where n represents the number of non-missing scores for the subject, and j represents the subject, then the mean score of the subject is The specific calculation formula is as follows: ; Use the calculated mean to represent the position of all missing grades in the subject Fill and update the data set, and calculate the average score and the highest score of each subject for each student , the lowest score As well as the standard deviation, we can understand the overall performance level of students in different subjects and the fluctuation of their grades. According to the fluctuation of students' grades, we draw a grade distribution icon to show the distribution of students' grades in various subjects. For each student i and each subject j, the set of all valid grades corresponding to the subject of the student is recorded as { }, where m is the number of valid scores for the subject of the student, and the average score of the subject of the student The specific calculation formula is as follows: ; According to the calculated , then the standard deviation of the student in this subject The specific calculation formula is as follows: ; Set the performance evaluation criteria, and determine the subjects with average scores below the preset passing score as insufficient subjects. According to the evaluation criteria, automatically screen out each student's insufficient subjects and record them in the student performance evaluation result table. Based on N students in the class, establish the average score set of all students in the subject. }, the specific calculation formula for the class average score of this subject is as follows: ; in, Indicates the class average score of the subject. For student i and subject j, the average score of the student in the subject is and class average , determine the student's deficient subjects through the following logical judgment: ; in, Indicates insufficient subjects. Indicates the preset passing score. =1, subject j is marked as a deficient subject for student i, and the relevant information of the student is recorded in the student performance evaluation result table.

[0008] In a preferred embodiment, in S103, based on the score analysis results, for the student's deficient subjects, the score rates of the examinees on different knowledge points in each exam are analyzed, and the total number of times the student answered questions on knowledge point k of deficient subject j is recorded as , the number of correct answers is recorded as , then the specific calculation formula of knowledge point score rate is as follows: ; in, Indicates the knowledge point score rate and sets a low score threshold , the score rate is lower than The knowledge points are determined as the weak knowledge points of students in this subject. , targeting students' deficient subjects j and identified weak knowledge points , select questions from the exercise question bank, record the question set as Q, and for each question , its knowledge point is , the difficulty coefficient is , filter out the knowledge points that belong to A subset of topics ,in, represents the basic elements that constitute the question set Q, Represents the set of weak knowledge points selected from the exercise question library Q that fall into the weak knowledge points of the student's insufficient subject j The questions in the question set are selected in layers according to the difficulty coefficient to generate personalized practice papers. The generated personalized practice papers are pushed to the student's corresponding student account. When the student starts practicing the paper, the student's practice start time is recorded. , for each question, record the student's answer time , the time when the student starts to answer question q is recorded as , the time of submitting the answer is recorded as , then the answer time = , record the students' answers, with correct answers recorded as 1 and incorrect answers recorded as 0. After the exercise, generate an exercise report based on the recorded answering time and answering results, and count the correct answers to the knowledge points, and store this information in the student learning file. Regularly update the students' mastery of each knowledge point, and record the number of correct answers of the students on knowledge point k in this exercise as , the total number of answers is recorded as , then the specific calculation formula for the improvement in the level of knowledge mastery after this exercise is as follows: ; in, Indicates the improvement value of knowledge point mastery. >0, it means that the student has made progress in this knowledge point. When it is less than 0, it means that students still need to strengthen their knowledge on this knowledge point.

[0009] In a preferred embodiment, in S104, the score rate data of each knowledge point after the student's personalized practice is obtained, and the total number of answers of the student on the knowledge point k after the personalized practice is recorded as , the number of correct answers after personalized practice is recorded as , then the specific calculation formula for the knowledge point score rate after personalized practice is as follows: ; The improvement value of the student's knowledge point mastery is calculated based on the knowledge point score rate after personalized practice. The specific calculation formula is as follows: ; The knowledge point score rate after this personalized exercise is recorded, and the knowledge point set involved in this exercise is recorded as K. The specific calculation formula for the average knowledge point mastery improvement value is as follows: ; in, Indicates the average level of knowledge mastery. Represents the number of elements in the knowledge point set K, sets a promotion threshold T, when >T, it is considered that the student has made significant progress overall. ≤T, it indicates that the student has made some progress. ≤0, it means that the student has not made significant progress, based on the previous set of weak knowledge points of the student , calculate the average improvement value of the student in the weak knowledge points, the specific calculation formula is as follows: ; in, It indicates the average improvement value of the student in the weak knowledge points. By calculating the average improvement value, we can intuitively see the student's progress and evaluate the effectiveness of teaching based on the average improvement value.

[0010] The beneficial effects of the present invention are as follows: the present invention can calculate the average score, highest score, lowest score, standard deviation and other statistical indicators of each subject for each student, help teachers understand students' learning situation from multiple angles, judge the overall difference of students in a class in a certain subject, and screen out each student's deficient subjects according to the flexibly set performance evaluation standards, which is helpful for teachers to accurately locate students' learning shortcomings and provide a basis for personalized teaching. According to the students' deficient subjects and performance analysis results, appropriate questions are selected from the exercise question bank to form a personalized comprehensive exercise test paper, the content and difficulty of the exercise test paper are dynamically adjusted according to the students' historical practice situation and learning progress, and personalized learning path planning is realized. The exercise content is updated according to the changes in the students' mastery of knowledge points, so that the exercises are always kept at an appropriate difficulty level, and students are prevented from losing interest due to overly difficult or easy exercises. The students' exercise start time, answering time, answering results and other information are recorded in detail, providing rich data for subsequent learning analysis, and teachers can understand students' learning habits and learning efficiency through these data. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 The present invention is a flow chart of the method. DETAILED DESCRIPTION

[0012] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0013] In the description of this application, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, "plurality" means two or more, unless otherwise clearly and specifically defined.

[0014] In the description of the present application, the term "for example" is used to mean "used as an example, illustration or description". Any embodiment described as "for example" in the present application is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is given to enable any technician in the field to implement and use the present invention. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present invention can be implemented without using these specific details. In other examples, well-known structures and processes will not be elaborated in detail to avoid unnecessary details to obscure the description of the present invention. Therefore, the present invention is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed in the present application.

[0015] like Figure 1 This embodiment provides: a virtual simulation management method suitable for teaching, which specifically includes the following steps: S101. Collect students' specific information and store it in the student information table, establish a unique identity for each student, and verify the data after receiving the score data to ensure the accuracy and validity of the score data; Furthermore, a student information entry unit is created, and the basic information of the students, including name, student number, age and class information, is input through the student information entry unit, and this information is stored in the student information table of the database, and a unique identity is established for each student. Through the score entry unit, the teacher enters the test scores of the student training book according to the subject and the test time. After receiving the score data, the data is verified to ensure the accuracy and validity of the score data. The student's subject score is recorded as S, and the full score of the subject is F. The score validity judgment formula is as follows: ; when When the result is 1, it means that the score value is within the valid range and can be entered. When the result is 0, it means that the grade does not meet the requirements and should be re-entered. The grade after validity judgment is stored in the grade data table and associated with the corresponding student information. The grade data update function is provided. When there is a grade modification and a make-up grade entry, the stored grade is updated and the student's total grade is calculated. The student has n regular homeworks, and the grade of each homework is , the test score is E, and the weight of the homework score in the comprehensive score is , the weight of the test score in the comprehensive score is 2, the specific calculation formula of the comprehensive score G is as follows: ; Among them, M represents the full score of regular homework.

[0016] S102, after reading the student's score data, pre-process the data, calculate each student's subject score information for each student, and set the score evaluation standard, according to the evaluation standard, screen out each student's deficient subjects, and record them in the student score evaluation result table; Further, obtain the students' score data, clean and organize the data, process the missing score data, traverse the score data set, count the number of missing scores in each subject, and record the set of all non-missing scores in the subject as { }, where n represents the number of non-missing scores for the subject, and j represents the subject, then the mean score of the subject is The specific calculation formula is as follows: ; Use the calculated mean to represent the position of all missing grades in the subject Fill and update the data set, and calculate the average score and the highest score of each subject for each student , the lowest score As well as the standard deviation, we can understand the overall performance level of students in different subjects and the fluctuation of their grades. According to the fluctuation of students' grades, we draw a grade distribution icon to show the distribution of students' grades in various subjects. For each student i and each subject j, the set of all valid grades corresponding to the subject of the student is recorded as { }, where m is the number of valid scores for the subject of the student, and the average score of the subject of the student The specific calculation formula is as follows: ; According to the calculated , then the standard deviation of the student in this subject The specific calculation formula is as follows: ; Set the performance evaluation criteria, and determine the subjects with average scores below the preset passing score as insufficient subjects. According to the evaluation criteria, automatically screen out each student's insufficient subjects and record them in the student performance evaluation result table. Based on N students in the class, establish the average score set of all students in the subject. }, the specific calculation formula for the class average score of this subject is as follows: ; in, Indicates the class average score of the subject. For student i and subject j, the average score of the student in the subject is and class average , determine the student's deficient subjects through the following logical judgment: ; in, Indicates insufficient subjects. Indicates the preset passing score. =1, subject j is marked as a deficient subject for student i, and the relevant information of the student is recorded in the student performance evaluation result table.

[0017] It should be noted that setting the performance evaluation criteria and introducing the symbol (0< <1), the average score below the preset passing score is set as , different subjects The values ​​are different, for example, =60, mathematical =90, will be lower than The account with the value is judged as insufficient account.

[0018] S103, constructing a practice question database, forming a personalized comprehensive practice test paper based on the student's deficient subjects and the results of the performance analysis, and dynamically adjusting the content of the practice test paper based on the student's historical practice situation and learning progress; Furthermore, based on the results of the score analysis, for the students' deficient subjects, the score rates of the candidates on different knowledge points in each exam are analyzed, and the total number of answers of the students on knowledge point k of deficient subject j is recorded as , the number of correct answers is recorded as , then the specific calculation formula of knowledge point score rate is as follows: ; in, Indicates the knowledge point score rate and sets a low score threshold , the score rate is lower than The knowledge points are determined as the weak knowledge points of students in this subject. , targeting students' deficient subjects j and identified weak knowledge points , select questions from the exercise question bank, record the question set as Q, and for each question , its knowledge point is , the difficulty coefficient is , filter out the knowledge points that belong to A subset of topics ,in, represents the basic elements that constitute the question set Q, Represents the set of weak knowledge points selected from the exercise question library Q that fall into the weak knowledge points of the student's insufficient subject j The questions in the question set are selected in layers according to the difficulty coefficient to generate personalized practice papers. The generated personalized practice papers are pushed to the student's corresponding student account. When the student starts practicing the paper, the student's practice start time is recorded. , for each question, record the student's answer time , the time when the student starts to answer question q is recorded as , the time of submitting the answer is recorded as , then the answer time = , record the students' answers, with correct answers recorded as 1 and incorrect answers recorded as 0. After the exercise, generate an exercise report based on the recorded answering time and answering results, and count the correct answers to the knowledge points, and store this information in the student learning file. Regularly update the students' mastery of each knowledge point, and record the number of correct answers of the students on knowledge point k in this exercise as , the total number of answers is recorded as , then the specific calculation formula for the improvement in the level of knowledge mastery after this exercise is as follows: ; in, Indicates the improvement value of knowledge point mastery. >0, it means that the student has made progress in this knowledge point. When it is less than 0, it means that students still need to strengthen their knowledge on this knowledge point.

[0019] It should be noted that when selecting by difficulty, the proportion of questions of different difficulty levels in the test paper is set, for example, simple questions account for 0.3, medium questions account for 0.5, and difficult questions account for 0.2, and then according to these ratios, Select a corresponding number of questions from the test paper to form a personalized practice test paper. When selecting, you can first sort the questions according to the knowledge points. Then, within each knowledge point group, select questions according to the difficulty ratio. For example, if a weak knowledge point has 20 questions, according to the difficulty ratio, you should select 20×0.3=6 simple questions, about 20×0.5=10 medium questions, and about 20×0.2=4 difficult questions.

[0020] S104, evaluating the effectiveness of the student's personalized practice results based on the student's knowledge point mastery level after this practice, and evaluating the usefulness of the personalized practice test paper to the student and the student's progress; Furthermore, the score rate data of each knowledge point after the personalized practice is obtained, and the total number of answers after the personalized practice on knowledge point k is recorded as , the number of correct answers after personalized practice is recorded as , then the specific calculation formula for the knowledge point score rate after personalized practice is as follows: ; The improvement value of the student's knowledge point mastery is calculated based on the knowledge point score rate after personalized practice. The specific calculation formula is as follows: ; The knowledge point score rate after this personalized exercise is recorded, and the knowledge point set involved in this exercise is recorded as K. The specific calculation formula for the average knowledge point mastery improvement value is as follows: ; in, Indicates the average level of knowledge mastery. Represents the number of elements in the knowledge point set K, sets a promotion threshold T, when >T, it is considered that the student has made significant progress overall. ≤T, it indicates that the student has made some progress. ≤0, it means that the student has not made significant progress, based on the previous set of weak knowledge points of the student , calculate the average improvement value of the student in the weak knowledge points, the specific calculation formula is as follows: ; in, It indicates the average improvement value of the student in the weak knowledge points. By calculating the average improvement value, we can intuitively see the student's progress and evaluate the effectiveness of teaching based on the average improvement value.

[0021] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0022] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0023] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0024] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0025] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0026] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0027] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A virtual simulation management method suitable for teaching, characterized in that: The following steps are involved: S101. Collect students' specific information and store it in the student information table, establish a unique identity for each student, and verify the data after receiving the score data to ensure the accuracy and validity of the score data; S102, after reading the student's score data, pre-process the data, calculate each student's subject score information for each student, and set the score evaluation standard, according to the evaluation standard, screen out each student's deficient subjects, and record them in the student score evaluation result table; S103, constructing a practice question database, forming a personalized comprehensive practice test paper based on the student's deficient subjects and the results of the performance analysis, and dynamically adjusting the content of the practice test paper based on the student's historical practice situation and learning progress; S104. Evaluate the effectiveness of the students' personalized practice results based on the improvement in the students' knowledge mastery after this practice, and evaluate the usefulness of the personalized practice test paper to the students and the degree of progress of the students.

2. A virtual simulation management method suitable for teaching according to claim 1, characterized in that: In S101, a student information entry unit is created. The basic information of the student, including name, student number, age and class information, is input through the student information entry unit. This information is stored in the student information table of the database, and a unique identity is established for each student. Through the score entry unit, the teacher enters the test scores of the student's training book according to the subject and the test time. After receiving the score data, the data is verified to ensure the accuracy and validity of the score data. The student's subject score is recorded as S, and the full score of the subject is F. The score validity judgment formula is as follows: ； when When the result is 1, it means that the score value is within the valid range and can be entered. When the result is 0, it means that the score does not meet the requirements and should be re-entered.

3. A virtual simulation management method suitable for teaching according to claim 2, characterized in that: The grades after validity judgment are stored in the grade data table and associated with the corresponding student information. The grade data update function is provided. When there is a grade modification and a make-up exam grade entry, the stored grades are updated and the total grade of the student is calculated. The student has n regular homeworks, and the grade of each homework is , the test score is E, and the weight of the homework score in the comprehensive score is , the weight of the test score in the comprehensive score is 2, the specific calculation formula of the comprehensive score G is as follows: ； Among them, M represents the full score of regular homework.

4. A virtual simulation management method suitable for teaching according to claim 1, characterized in that: In S102, the student's score data is obtained, the data is cleaned and sorted, missing score data is processed, the score data set is traversed, and the number of missing scores in each subject is counted. The set of all non-missing scores in the subject is recorded as { }, where n represents the number of non-missing scores for the subject, and j represents the subject, then the mean score of the subject is The specific calculation formula is as follows: ； Use the calculated mean to represent the position of all missing grades in the subject Fill and update the data set, and calculate the average score and the highest score of each subject for each student , the lowest score As well as the standard deviation, we can understand students' overall performance level in different subjects and the fluctuation of their grades. Based on the fluctuation of students' grades, we can draw a grade distribution chart to show the distribution of students' grades in various subjects.

5. A virtual simulation management method suitable for teaching according to claim 4, characterized in that: For each student i and each subject j, the set of all valid scores corresponding to the student and the subject is recorded as { }, where m is the number of valid scores for the subject of the student, and the average score of the subject of the student The specific calculation formula is as follows: ； According to the calculated , then the standard deviation of the student in this subject The specific calculation formula is as follows: ； Set the performance evaluation criteria, and determine the subjects with average scores below the preset passing score as insufficient subjects. According to the evaluation criteria, automatically screen out each student's insufficient subjects and record them in the student performance evaluation result table. Based on N students in the class, establish the average score set of all students in the subject. }, the specific calculation formula for the class average score of this subject is as follows: ； in, Indicates the class average score of the subject. For student i and subject j, the average score of the student in the subject is and class average , determine the student's deficient subjects through the following logical judgment: ； in, Indicates insufficient subjects. Indicates the preset passing score. =1, subject j is marked as a deficient subject for student i, and the relevant information of the student is recorded in the student performance evaluation result table.

6. A virtual simulation management method suitable for teaching according to claim 1, characterized in that: In S103, based on the score analysis results, for the student's deficient subjects, the score rates of the examinees on different knowledge points in each exam are analyzed, and the total number of times the student answered questions on knowledge point k of deficient subject j is recorded as , the number of correct answers is recorded as , then the specific calculation formula of knowledge point score rate is as follows: ； in, Indicates the knowledge point score rate and sets a low score threshold , the score rate is lower than The knowledge points are determined as the weak knowledge points of students in this subject. , targeting students' deficient subjects j and identified weak knowledge points , select questions from the exercise question bank, record the question set as Q, and for each question , its knowledge point is , the difficulty coefficient is , filter out the knowledge points that belong to A subset of topics ,in, represents the basic elements that constitute the question set Q, Represents the set of weak knowledge points selected from the exercise question library Q that fall into the weak knowledge points of the student's insufficient subject j The questions are selected in layers according to the difficulty coefficient to generate personalized practice test papers.

7. A virtual simulation management method suitable for teaching according to claim 6, characterized in that: The generated personalized practice test paper is pushed to the student's corresponding student account. When the student starts practicing the test paper, the student's practice start time is recorded. , for each question, record the student's answer time , the time when the student starts to answer question q is recorded as , the time of submitting the answer is recorded as , then the answer time = , record the students' answers, with correct answers recorded as 1 and incorrect answers recorded as 0. After the exercise, generate an exercise report based on the recorded answering time and answering results, and count the correct answers to the knowledge points, and store this information in the student learning file. Regularly update the students' mastery of each knowledge point, and record the number of correct answers of the students on knowledge point k in this exercise as , the total number of answers is recorded as , then the specific calculation formula for the improvement in the level of knowledge mastery after this exercise is as follows: ； in, Indicates the improvement value of knowledge point mastery. >0, it means that the student has made progress in this knowledge point. When it is less than 0, it means that students still need to strengthen their knowledge on this knowledge point.

8. A virtual simulation management method suitable for teaching according to claim 1, characterized in that: In S104, the score rate data of each knowledge point after the student's personalized practice is obtained, and the total number of answers of the student on knowledge point k after the personalized practice is recorded as , the number of correct answers after personalized practice is recorded as , then the specific calculation formula for the knowledge point score rate after personalized practice is as follows: ； The improvement value of the student's knowledge point mastery is calculated based on the knowledge point score rate after personalized practice. The specific calculation formula is as follows: ； The knowledge point score rate after this personalized exercise is recorded, and the knowledge point set involved in this exercise is recorded as K. The specific calculation formula for the average knowledge point mastery improvement value is as follows: ； in, Indicates the average level of knowledge mastery. Represents the number of elements in the knowledge point set K, sets a promotion threshold T, when >T, it is considered that the student has made significant progress overall. ≤T, it indicates that the student has made some progress. ≤0, it means that the student has not made significant progress, based on the previous set of weak knowledge points of the student , calculate the average improvement value of the student in the weak knowledge points, the specific calculation formula is as follows: ； in, It indicates the average improvement value of the student in the weak knowledge points. By calculating the average improvement value, we can intuitively see the student's progress and evaluate the effectiveness of teaching based on the average improvement value.

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