Teaching plan generation method and device and computer equipment

Abstract

The invention relates to a teaching plan generation method and device and computer equipment. The method comprises the following steps: acquiring physical fitness test data, homework execution information and historical homework information of each physical education student, and evaluating the physical fitness grade and physical fitness preference of each physical education student through a physical fitness index evaluation strategy; based on the physical ability grade and physical ability preference of each physical education student, performing student grouping to obtain each physical education group, and identifying homework execution progress information of each physical education student; and based on the homework execution progress information and the historical homework information of each physical education student, through an execution degree evaluation strategy, evaluating homework execution evaluation information of each physical education student, and based on the homework execution evaluation information of each physical education student and the physical education group, generating a target teaching plan of each physical education student. By adopting the method, the generation accuracy of the teaching plan of the physical education student can be improved.

Description

Technical Field

[0001] The present application relates to the field of artificial intelligence technology, and in particular to a method, device and computer equipment for generating a teaching plan. Background Art

[0002] With the development of intelligent education, especially the continuous development of intelligent sports education platforms, online teaching, intelligent sports monitoring and data analysis can be realized. The division and control of online students and the analysis of the execution of online sports homework can not only ensure targeted education for students in different situations, but also identify the teaching effect and the learning status of each student, so as to better formulate teaching plans for each student. Therefore, how to divide and control online sports students and the execution control of sports homework are the current research focuses of teaching plan formulation.

[0003] The traditional management and control method is to assist manual labor in batch collection of homework, manually evaluate each online sports homework, and then divide the personnel through manual analysis, determine the execution results of each student's sports homework, and then formulate a teaching plan for each student based on each execution result. However, this method is inefficient and has a certain degree of subjectivity and error rate. As a result, the generation accuracy of the teaching plan for sports students is low. Summary of the invention

[0004] Based on this, it is necessary to provide a method, device, computer equipment, computer-readable storage medium and computer program product for generating a teaching plan in response to the above-mentioned technical problems.

[0005] In a first aspect, the present application provides a method for generating a teaching plan, comprising:

[0006] Obtaining the physical fitness test data of each sports student, the homework execution information of each sports student, and the historical homework information of each sports student, and based on the physical fitness test data of each sports student, evaluating the physical fitness level of each sports student and the physical fitness preference of each sports student through a physical fitness index evaluation strategy;

[0007] Based on the physical fitness level of each of the physical education students and the physical fitness preference of each of the physical education students, the physical education students are grouped to obtain each physical education group, and based on the homework execution information of each of the physical education students, the homework execution progress information of each physical education student is identified;

[0008] Based on the homework execution progress information of each physical education student and the historical homework information of each physical education student, the homework execution evaluation information of each physical education student is evaluated through an execution degree evaluation strategy, and based on the homework execution evaluation information of each physical education student and the physical education group to which each physical education student belongs, a target teaching plan for each physical education student is generated.

[0009] Optionally, based on the physical fitness test data of each of the physical education students, the physical fitness level of each of the physical education students and the physical fitness preference of each of the physical education students are evaluated through a physical fitness index evaluation strategy, including:

[0010] For each sports student, based on the physical fitness test data of the sports student, identify the index data of each sports test type, and based on the physical fitness index evaluation strategy, identify the index evaluation strategy of each sports test type;

[0011] Based on the indicator evaluation strategy of each of the physical test types, the indicator data of each of the physical test types are subjected to indicator evaluation processing to obtain the indicator evaluation value of each of the physical test types, and based on the indicator evaluation value of each of the physical test types, the physical test type corresponding to the indicator evaluation value greater than the evaluation value threshold is screened as the preferred physical test type of the physical trainee;

[0012] In the physical test database, query the physical fitness test target of the preferred physical test type and the target physical fitness information of the physical fitness test target of the sports trainee, and use the target physical fitness information as the physical fitness preference of the sports trainee;

[0013] Based on the indicator evaluation values ​​of each of the physical test types and the physical fitness test targets of each of the depression test types, the target level of the physical fitness test target corresponding to each indicator evaluation value is queried in the physical test database, and based on the target level of each of the physical fitness test targets and the preset weight value of each of the physical fitness test targets, the physical fitness level of the physical trainee is calculated.

[0014] Optionally, the physical education students are grouped based on the physical fitness level and physical fitness preference of each physical education student to obtain each physical education group, including:

[0015] For each physical education student, based on the index evaluation value of the preferred physical test type corresponding to the physical fitness preference, the preference degree of the physical fitness preference is calculated, and a candidate teaching plan for the student is obtained;

[0016] Identify the teaching goal deviation between the teaching goal in the candidate teaching plan and the physical fitness test goal corresponding to the physical fitness preference, and identify the regrading degree of the physical education student through a deviation regrading strategy based on the teaching goal deviation and the preference degree of the physical fitness preference;

[0017] Based on the degree of adjustment and the physical education level of the physical education students, the target physical education level of the physical education students is determined, and the physical education students are divided and processed according to their target physical education levels to obtain various physical education groups.

[0018] Optionally, the identifying the homework execution progress information of each physical education student based on the homework execution information of each physical education student includes:

[0019] For each sports student, based on the homework execution information of the sports student, the submitted data and the submitted video of the student are identified, and the submitted video is processed by frame division to obtain each single frame image;

[0020] Dividing each of the single-frame images into image groups corresponding to each job task, and identifying, for each image group, action execution information of the job task corresponding to the image group and the action execution duration of the job task corresponding to the image group;

[0021] The action execution information of each of the homework tasks, the action execution time of each of the homework tasks, and the submission data of the physical education student are used as the homework execution progress information of the physical education student.

[0022] Optionally, the execution evaluation strategy includes an enthusiasm evaluation strategy and a completion evaluation strategy. The execution evaluation information of each sports student's homework execution progress information and the historical homework information of each sports student are evaluated through the execution evaluation strategy, including:

[0023] For each physical education student, based on the action execution information of the physical education student in each task and the action execution time of the physical education student in each task, the completion evaluation strategy is used to evaluate the technical score value of each task of the physical education student, the physical fitness status of each task of the physical education student, and the cooperation and coordination degree of each task of the physical education student;

[0024] Based on the technical score value of each of the homework tasks, the physical fitness status of each of the homework tasks, and the degree of cooperation and coordination of each of the homework tasks, the homework completion effect of the sports trainee is identified, and based on the historical homework information of the sports trainee, each historical submission data of the sports trainee is identified;

[0025] Based on the submission data of the physical education student and the historical submission data of the physical education student, the timeliness of the submission of the physical education student and the homework participation of the physical education student are identified, and based on the timeliness of the submission of the physical education student and the homework participation of the physical education student, the homework enthusiasm of the physical education student is identified through the enthusiasm evaluation strategy;

[0026] The homework completion effect of the physical education student and the homework enthusiasm of the physical education student are used as the homework execution evaluation information of the physical education student.

[0027] Optionally, generating a target teaching plan for each physical education student based on the homework execution evaluation information of each physical education student and the physical education group to which each physical education student belongs includes:

[0028] For each physical education student, based on the physical education group to which the physical education student belongs and the physical fitness preference of the physical education student, a candidate teaching plan for the physical education student is generated in a teaching plan database;

[0029] Based on the completion effect of the physical education students' homework, identify the degree of cooperation of the physical education students with the original teaching plan, and based on the homework enthusiasm of the physical education students, identify the degree of recognition of the physical education students with the original teaching plan;

[0030] Based on the degree of cooperation of the physical education student with the original teaching plan, the degree of recognition of the physical education student with the original teaching plan, and the original teaching plan, the candidate teaching plans are adjusted to obtain the target teaching plan for the physical education student.

[0031] In a second aspect, the present application also provides a device for generating a teaching plan, comprising:

[0032] An acquisition module is used to acquire the physical fitness test data of each sports trainee, the homework execution information of each sports trainee, and the historical homework information of each sports trainee, and based on the physical fitness test data of each sports trainee, the physical fitness level of each sports trainee and the physical fitness preference of each sports trainee are evaluated through a physical fitness index evaluation strategy;

[0033] A grouping module, for grouping the sports students based on the physical fitness level and the physical fitness preference of each sports student to obtain each sports education group, and identifying the homework execution progress information of each sports student based on the homework execution information of each sports student;

[0034] A generation module is used to evaluate the homework execution evaluation information of each physical education student based on the homework execution progress information of each physical education student and the historical homework information of each physical education student through an execution degree evaluation strategy, and to generate a target teaching plan for each physical education student based on the homework execution evaluation information of each physical education student and the physical education group to which each physical education student belongs.

[0035] Optionally, the acquisition module is specifically used to:

[0036] For each sports student, based on the physical fitness test data of the sports student, identify the index data of each sports test type, and based on the physical fitness index evaluation strategy, identify the index evaluation strategy of each sports test type;

[0037] Based on the indicator evaluation strategy of each of the physical test types, the indicator data of each of the physical test types are subjected to indicator evaluation processing to obtain the indicator evaluation value of each of the physical test types, and based on the indicator evaluation value of each of the physical test types, the physical test type corresponding to the indicator evaluation value greater than the evaluation value threshold is screened as the preferred physical test type of the physical trainee;

[0038] In the physical test database, query the physical fitness test target of the preferred physical test type and the target physical fitness information of the physical fitness test target of the sports trainee, and use the target physical fitness information as the physical fitness preference of the sports trainee;

[0039] Based on the indicator evaluation values ​​of each of the physical test types and the physical fitness test targets of each of the depression test types, the target level of the physical fitness test target corresponding to each indicator evaluation value is queried in the physical test database, and based on the target level of each of the physical fitness test targets and the preset weight value of each of the physical fitness test targets, the physical fitness level of the physical trainee is calculated.

[0040] Optionally, the grouping module is specifically used to:

[0041] For each physical education student, based on the index evaluation value of the preferred physical test type corresponding to the physical fitness preference, the preference degree of the physical fitness preference is calculated, and a candidate teaching plan for the student is obtained;

[0042] Identify the teaching goal deviation between the teaching goal in the candidate teaching plan and the physical fitness test goal corresponding to the physical fitness preference, and identify the regrading degree of the physical education student through a deviation regrading strategy based on the teaching goal deviation and the preference degree of the physical fitness preference;

[0043] Based on the degree of adjustment and the physical education level of the physical education students, the target physical education level of the physical education students is determined, and the physical education students are divided and processed according to their target physical education levels to obtain various physical education groups.

[0044] Optionally, the grouping module is specifically used to:

[0045] For each sports student, based on the homework execution information of the sports student, the submitted data and the submitted video of the student are identified, and the submitted video is processed by frame division to obtain each single frame image;

[0046] Dividing each of the single-frame images into image groups corresponding to each job task, and identifying, for each image group, action execution information of the job task corresponding to the image group and the action execution duration of the job task corresponding to the image group;

[0047] The action execution information of each of the homework tasks, the action execution time of each of the homework tasks, and the submission data of the physical education student are used as the homework execution progress information of the physical education student.

[0048] Optionally, the generating module is specifically used for:

[0049] For each physical education student, based on the action execution information of the physical education student in each task and the action execution time of the physical education student in each task, the completion evaluation strategy is used to evaluate the technical score value of each task of the physical education student, the physical fitness status of each task of the physical education student, and the cooperation and coordination degree of each task of the physical education student;

[0050] Based on the technical score value of each of the homework tasks, the physical fitness status of each of the homework tasks, and the degree of cooperation and coordination of each of the homework tasks, the homework completion effect of the sports trainee is identified, and based on the historical homework information of the sports trainee, each historical submission data of the sports trainee is identified;

[0051] Based on the submission data of the physical education student and the historical submission data of the physical education student, the timeliness of the submission of the physical education student and the homework participation of the physical education student are identified, and based on the timeliness of the submission of the physical education student and the homework participation of the physical education student, the homework enthusiasm of the physical education student is identified through the enthusiasm evaluation strategy;

[0052] The homework completion effect of the physical education student and the homework enthusiasm of the physical education student are used as the homework execution evaluation information of the physical education student.

[0053] Optionally, the generating module is specifically used for:

[0054] For each physical education student, based on the physical education group to which the physical education student belongs and the physical fitness preference of the physical education student, a candidate teaching plan for the physical education student is generated in a teaching plan database;

[0055] Based on the completion effect of the physical education students' homework, identify the degree of cooperation of the physical education students with the original teaching plan, and based on the homework enthusiasm of the physical education students, identify the degree of recognition of the physical education students with the original teaching plan;

[0056] Based on the degree of cooperation of the physical education student with the original teaching plan, the degree of recognition of the physical education student with the original teaching plan, and the original teaching plan, the candidate teaching plans are adjusted to obtain the target teaching plan for the physical education student.

[0057] In a third aspect, the present application provides a computer device, wherein the computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

[0058] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0059] In a fifth aspect, the present application provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0060] The above-mentioned teaching plan generation method, device and computer equipment obtain the physical fitness test data of each sports student, the homework execution information of each sports student, and the historical homework information of each sports student, and based on the physical fitness test data of each sports student, through the physical fitness index evaluation strategy, evaluate the physical fitness level of each sports student and the physical fitness preference of each sports student. Based on the physical fitness level of each sports student and the physical fitness preference of each sports student, each sports student is grouped and processed to obtain each physical education group, and based on the homework execution information of each sports student, the homework execution progress information of each sports student is identified; based on the homework execution progress information of each sports student and the historical homework information of each sports student, the homework execution evaluation information of each sports student is evaluated through the execution degree evaluation strategy, and based on the homework execution evaluation information of each sports student and the physical education group to which each sports student belongs, a target teaching plan for each sports student is generated. This scheme processes the physical fitness test data through index evaluation, thereby identifying the physical fitness level and physical fitness preference of the physical education students, and then groups the physical education students to ensure the accuracy of the division of each physical education group, and change the subjectivity and error of manual grouping. Secondly, this scheme conducts a comprehensive analysis of the homework execution of the physical education students and the historical homework information, so as to intelligently evaluate the homework execution evaluation information of each physical education student, avoiding the deviation rate and inefficiency of manual evaluation and manual analysis. Moreover, by combining the current homework situation and the historical homework situation for comprehensive analysis, it can not only accurately determine the completion effect of each physical education student on the current homework execution situation, but also comprehensively identify the potential teaching plan adaptation-influencing information such as the homework execution enthusiasm of each physical education student. Then, this scheme combines the grouping situation and the homework execution situation of each physical education student to comprehensively generate the student's target teaching plan, which can effectively stimulate the students' interest and enthusiasm, improve the teaching reception effect for each student, and thus comprehensively improve the generation accuracy of the teaching plan for physical education students. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0062] Figure 1 A schematic diagram of a flow chart of a method for generating a teaching plan in an embodiment;

[0063] Figure 2 A schematic diagram of a flow chart of a method for generating a teaching plan in an embodiment;

[0064] Figure 3 is a structural block diagram of a device for generating a teaching plan in one embodiment;

[0065] Figure 4 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0066] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0067] The method for generating the teaching plan provided by the embodiment of the present application can be applied to the application environment in which the teaching plan of the sports student is automatically generated. The method can be applied to the terminal, can also be applied to the server, can also be applied to the system including the terminal and the server, and is realized by the interaction of the terminal and the server. The terminal processes the physical fitness test data by index evaluation, thereby identifying the physical fitness level and physical fitness preference of the sports student, thereby grouping the sports student, ensuring the division accuracy of each physical education group divided, and changing the subjectivity and error of the manual grouping, and secondly, this scheme is through the comprehensive analysis of the operation execution of the sports student, and the historical operation information, so as to intelligently evaluate the operation execution evaluation information of each sports student, avoid the deviation rate and inefficiency of manual evaluation and manual analysis, and, by combining the current operation situation and the historical operation situation for comprehensive analysis, not only can the completion effect of each sports student on the current operation execution situation be accurately determined, but also the potential teaching plan adaptability influence information such as the operation execution enthusiasm of each sports student can be fully identified. Then, this program combines the grouping situation and the homework execution status of each physical education student to comprehensively generate the student's target teaching plan, which can effectively stimulate students' interest and enthusiasm, improve the teaching effect for each student, and thus comprehensively improve the accuracy of generating teaching plans for physical education students.

[0068] In an exemplary embodiment, Figure 1 As shown, a method for generating a teaching plan is provided, and the method is applied to a terminal as an example for explanation, including the following steps S101 to S103. Among them:

[0069] Step S101, obtain the physical fitness test data of each sports student, the homework execution information of each sports student, and the historical homework information of each sports student, and based on the physical fitness test data of each sports student, evaluate the physical fitness level of each sports student and the physical fitness preference of each sports student through a physical fitness indicator evaluation strategy.

[0070] In the present embodiment, the terminal receives the first physical test data of each sports student collected by the intelligent physical test data detection instrument and the second physical test data of each sports student transmitted by the client of each staff member through each intelligent physical test data detection instrument and the client of each staff member, and uses each first physical test data and each second physical test data as the physical fitness test data of each sports student. Wherein, the physical fitness test data includes the sub-test data of each sports test type, and the sports test type includes but is not limited to physical endurance test type, physical fitness burst test type, body extension test type, leg toughness test type, arm strength test type, leg burst test type, ligament ability test type, vital capacity test type, vision test type, and arm explosive power test type. Then, the terminal obtains the operation execution information uploaded to the terminal by each sports student, and the terminal also obtains the operation execution information uploaded by each sports student in history and the evaluation information of each historically uploaded operation execution information from each operation record, and obtains the historical operation information of each sports student. Wherein, the operation execution information includes the uploaded submission data and the uploaded operation content. Among them, the uploaded submission data includes the time node of the upload, the user identification information of the upload, and the address information of the upload, etc., and the uploaded homework content is the video content. The video content includes a video recording of the execution of the homework task completed by a single person, and a video recording of the execution of the homework task completed by multiple people. The specifications of the video and the size of the video are not limited, but each homework task corresponds to a video content. Then, based on the physical fitness test data of each sports student, the terminal evaluates the physical fitness level of each sports student and the physical fitness preference of each sports student through the physical fitness index evaluation strategy. Among them, the physical fitness levels are ranked from high to low, respectively, S level, A level, B level, C level, D level, and F level. Each level can be divided into sub-levels according to the settings of the staff, for example, S level includes S+, S-, S; A level includes A+, A-, A; B level includes B+, B-, B, etc. The specific level division process will be described in detail later. Among them, the physical fitness preference of each sports student is the index evaluation value of each sports student in a single sports test type. When it is greater than the evaluation value threshold, the target physical fitness information of the physical fitness test target of each sports student in the physical fitness test type is determined as the physical fitness preference of the sports student. For example, the physical fitness test target of the arm strength test type is that the arm can lift / lift / push a high weight, and the target physical fitness information is the weight value lifted / lifted / pushed by the sports student. Among them, when it is greater than the evaluation value threshold, each evaluation value range corresponding to different physical fitness test types that exceeds the evaluation value threshold corresponds to a physical fitness preference degree. For example, the evaluation value threshold of the arm strength test type is 90 points, from 91 points to 93 points is a third-level arm strength preference, 94 points to 97 points is a second-level arm strength preference, and 98 points to 100 points is a first-level arm strength preference.The excess degree of physical fitness preference is used to characterize the degree of physical fitness preference of each user, as well as the degree of excellence of each user in the same physical fitness preference, thereby facilitating the screening and evaluation of sports talents suitable for different training directions.

[0071] Step S102, based on the physical fitness level and physical fitness preference of each physical education student, each physical education student is grouped to obtain each physical education group, and based on the homework execution information of each physical education student, the homework execution progress information of each physical education student is identified.

[0072] In the present embodiment, the terminal is based on the physical fitness level of each sports student and the physical fitness preference of each sports student, and each sports student is grouped and processed to obtain each sports education group, and based on the operation execution information of each sports student, the operation execution progress information of each sports student is identified. Wherein, each sports education group is a group divided by sports students of the same actual physical fitness level, wherein the physical fitness preference is an influencing factor affecting the physical fitness level of the sports student, and the physical fitness level of the sports student is adjusted based on the physical fitness preference, so as to obtain the actual physical fitness level of the sports student. For example, both A students and C students are students with a physical fitness level of B grade, but C students have no physical fitness preference, and A students have a secondary leg explosive power preference, then the actual physical fitness level of A students can be B-grade, therefore, A students are in the physical education group corresponding to B grade, and C students are in the physical education group corresponding to C grade. Specific grade adjustment and grouping process will be described in detail later. Wherein, the operation execution progress information of the sports student includes the action execution information of each sports student for each operation task, and the action execution time of each operation task. For example, the homework task includes running 5 km at a pace of 530, 100 push-ups, 50 50 kg bench presses, 30 consecutive pull-ups, 40 weighted frog jumps, 3 km of double-carrying running, 30 minutes of double boxing routines, etc. Each homework task includes the limitation of the task duration and the task completion standard. For example, running 5 km at a pace of 530, the task duration is 27 minutes and 30 seconds, and the task completion standard is that the speed per kilometer is not less than 5 minutes and 30 seconds. The specific process of identifying the homework execution progress information of each sports student will be described in detail later.

[0073] Step S103, based on the homework execution progress information of each physical education student and the historical homework information of each physical education student, evaluate the homework execution evaluation information of each physical education student through the execution evaluation strategy, and generate the target teaching plan for each physical education student based on the homework execution evaluation information of each physical education student and the physical education group to which each physical education student belongs.

[0074] In the present embodiment, the terminal is based on the homework execution progress information of each sports student and the historical homework information of each sports student, and through the execution evaluation strategy, the homework execution evaluation information of each sports student is evaluated, and based on the homework execution evaluation information of each sports student and the sports education group to which each sports student belongs, the target teaching plan of each sports student is generated. The specific evaluation process and the generation process will be described in detail later, and the execution evaluation strategy includes the enthusiasm evaluation strategy and the completion evaluation strategy. The enthusiasm evaluation strategy is used to evaluate the enthusiasm of sports students to complete homework, and the completion evaluation strategy is used to evaluate the degree of completion of sports students to complete homework. Among them, the sports education group where each sports student is located corresponds to an initial education outline of the sports level, that is, the teaching plan goal, and then, the terminal is based on the homework execution evaluation information of each sports student and the preference information of each sports student, and the completion method of the sports student to complete the teaching plan goal is intelligently screened, thereby obtaining the target teaching plan of each sports student, and the specific plan generation process will be described in detail later.

[0075] Based on the above scheme, by comprehensively analyzing the homework execution status and historical homework information of the physical education students, the homework execution evaluation information of each physical education student can be intelligently evaluated, avoiding the deviation rate and inefficiency of manual evaluation and manual analysis. In addition, by combining the current homework situation and the historical homework situation for comprehensive analysis, it is not only possible to accurately determine the completion effect of each physical education student on the current homework execution situation, but also to comprehensively identify the potential teaching plan adaptability influencing information such as the homework execution enthusiasm of each physical education student. Then, this scheme combines the grouping situation and the homework execution status of each physical education student to comprehensively generate the student's target teaching plan, which can effectively stimulate students' interest and enthusiasm, improve the teaching reception effect for each student, and thus comprehensively improve the generation accuracy of the teaching plan for physical education students.

[0076] Optionally, based on the physical fitness test data of each physical education student, the physical fitness level and physical fitness preference of each physical education student are evaluated through a physical fitness indicator evaluation strategy, including: for each physical education student, based on the physical fitness test data of the physical education student, identifying the indicator data of each physical test type, and based on the physical fitness indicator evaluation strategy, identifying the indicator evaluation strategy of each physical test type; based on the indicator evaluation strategy of each physical test type, performing indicator evaluation processing on the indicator data of each physical test type to obtain the indicator evaluation value of each physical test type, and based on the indicator evaluation value of each physical test type, screening the indicators that are greater than the evaluation value threshold The physical test type corresponding to the indicator evaluation value is used as the preferred physical test type of the physical trainee; in the physical test database, the physical fitness test target of the preferred physical test type and the target physical fitness information of the physical trainee in the physical fitness test target are queried, and the target physical fitness information is used as the physical fitness preference of the physical trainee; based on the indicator evaluation value of each physical test type and the physical fitness test target of each depression test type, in the physical test database, the target level of the physical fitness test target corresponding to each indicator evaluation value is queried, and based on the target level of each physical fitness test target and the preset weight value of each physical fitness test target, the physical fitness level of the physical trainee is calculated.

[0077] In this embodiment, the terminal identifies the index data of each sports test type based on the physical fitness test data of the sports student for each sports student, and identifies the index evaluation strategy of each sports test type based on the physical fitness index evaluation strategy. Among them, the index data of each sports test type is the specific test value of each sports test type, for example, the hand push length of the leg toughness test type, the lung capacity value of the lung capacity test type, the leg burst force value of the leg burst test type, etc. Among them, the index evaluation strategy of each sports test type is the evaluation value corresponding to each index data range corresponding to the personal information (age, weight, gender) range of different students. That is, before evaluating the index evaluation value of each sports test type of each student, it is necessary to first find the evaluation value corresponding to each index data range corresponding to the personal information range of the student in the index evaluation strategy of each sports test type, and then perform the index evaluation process. The physical fitness index evaluation strategy is an evaluation strategy preset in the terminal by the staff.

[0078] The terminal performs an index evaluation process on the index data of each physical test type based on the index evaluation strategy of each physical test type to obtain an index evaluation value of each physical test type. Specifically, the terminal identifies the index data range of the student based on the index data of the physical test type of the physical trainee and the index evaluation strategy of the physical test type corresponding to the personal information range of the physical trainee, and identifies the index evaluation value of the student in the physical test type based on the correspondence between the index data range and the evaluation value.

[0079] Based on the index evaluation value of each physical test type, the terminal selects the physical test type corresponding to the index evaluation value greater than the evaluation value threshold as the preferred physical test type of the physical trainee. Then, in the physical test database, the terminal queries the physical fitness test target of the preferred physical test type and the target physical fitness information of the physical trainee in the physical fitness test target, and uses the target physical fitness information as the physical fitness preference of the physical trainee.

[0080] Finally, the terminal is based on the index evaluation value of each sports test type and the physical fitness test target of each depression test type. In the physical test database, the target level of the physical fitness test target corresponding to each index evaluation value is queried, and the physical fitness level of the sports trainee is calculated based on the target level of each physical fitness test target and the preset weight value of each physical fitness test target. Among them, the physical test database contains physical fitness test targets of different sports test types and the target level corresponding to each index evaluation value range. The terminal identifies the index rating value range corresponding to each index evaluation value and determines the target level corresponding to each index evaluation value. Finally, the terminal calculates the physical fitness level of the sports trainee based on the preset weight value of each physical fitness test target preset in the terminal. Among them, the preset weight value is the weight value preset by the staff in the terminal, and the preset weight value is the weight value of each physical fitness test type set by the staff based on the teaching syllabus corresponding to all current trainees. The higher the weight value, the higher the proportion of the physical fitness test type in the teaching syllabus.

[0081] Based on the above scheme, by evaluating the indicator evaluation value of each student in each physical fitness test type, the physical fitness level and physical fitness preference of each student are determined, thereby improving the accuracy of determination and the comprehensiveness of analysis.

[0082] Optionally, based on the physical fitness level and physical fitness preference of each physical education student, each physical education student is grouped to obtain each physical education group, including: for each physical education student, based on the indicator evaluation value of the preferred physical test type corresponding to the physical fitness preference, the preference degree of the physical fitness preference is calculated, and the candidate teaching plan of the student is obtained; the teaching goal deviation between the teaching goal in the candidate teaching plan and the physical fitness test goal corresponding to the physical preference is identified, and based on the teaching goal deviation and the preference degree of the physical fitness preference, the grade adjustment degree of the physical education student is identified through the deviation grade adjustment strategy; based on the grade adjustment degree and the physical level of the physical education student, the target physical level of the physical education student is determined, and each physical education student is divided and processed according to the target physical level of each physical education student to obtain each physical education group.

[0083] In this embodiment, the terminal calculates the preference degree of physical fitness preference for each physical fitness student based on the index evaluation value of the preferred physical fitness test type corresponding to the physical fitness preference. Wherein, as described in the embodiment of step S101, when it is greater than the evaluation value threshold, each evaluation value range that exceeds the evaluation value threshold corresponding to different physical fitness test types corresponds to a physical fitness preference degree, and the terminal queries the physical fitness preference degree corresponding to the index evaluation value of each student in the preferred physical fitness test type in the physical fitness preference degree corresponding to each evaluation value range of the preferred physical fitness test type based on the index evaluation value of each student in the preferred physical fitness test type, and obtains the preference degree of the student's physical fitness preference.

[0084] The terminal obtains the candidate teaching plan of the student, and then the terminal identifies the teaching goal deviation between the teaching goal in the candidate teaching plan and the physical fitness test goal corresponding to the sports preference, and identifies the level adjustment degree of the sports student through the deviation adjustment strategy based on the teaching goal deviation and the preference degree of the physical fitness preference. Specifically, the higher the teaching goal deviation, the more incompatible the student is with the teaching goal, and a new teaching goal needs to be set. Therefore, the terminal determines the level adjustment degree of the sports student based on the deviation range to which the teaching goal deviation of the student belongs. Among them, when identifying the level adjustment degree, the terminal first determines the level adjustment direction and the level adjustment ratio of the deviation adjustment strategy based on the teaching goal deviation, and then the terminal multiplies the preference degree of the physical fitness preference by the level adjustment ratio to obtain the level adjustment degree of the sports student. Among them, the physical fitness test type described in the physical fitness test target of each physical fitness original number and the teaching goal deviation degree of each teaching goal are preset in the terminal. Among them, the target deviation includes positive and negative ratio values, the positive ratio value is the degree of difference between the physical test target and the teaching target, and the negative ratio value is the degree of the sameness between the physical test target and the teaching target. For example, the physical fitness level of student A is B, the physical test type described in the physical test target corresponding to the physical fitness preference of student A is the leg explosive type, and the teaching goal of student A is the improvement of lower limb strength. Then, by querying the various physical test types preset by the terminal and the teaching goal deviation degree of each teaching goal, the teaching goal deviation degree of the teaching goal is -80%, that is, the adjustment ratio value is 80%. The preference degree of student A is the second-level leg explosive preference, then the adjustment direction of student A is upgrading, and the adjustment degree is 80%*60%=48%. Rounding off to get the adjustment ratio is half a level, that is, after adjustment, the actual physical fitness level of student A is B+.

[0085] Then, the terminal determines the target physical level of the physical education students based on the degree of adjustment and the physical level of the physical education students, and divides the physical education students into groups according to their target physical level to obtain physical education groups.

[0086] Based on the above scheme, the degree of adjustment of the student's physical fitness level is determined by the preference of each student and the deviation of the teaching goal, which improves the accuracy and practicality of identifying the student's actual physical fitness level.

[0087] Optionally, based on the homework execution information of each physical education student, the homework execution progress information of each physical education student is identified, including: for each physical education student, based on the homework execution information of the physical education student, the submitted data and the submitted video of the physical education student are identified, and the submitted video is frame-processed to obtain each single-frame image; each single-frame image is divided into image groups corresponding to each homework task, and for each image group, the action execution information of the homework task corresponding to the image group and the action execution duration of the homework task corresponding to the image group are identified; the action execution information of each homework task, the action execution duration of each homework task, and the submission data of the physical education student are used as the homework execution progress information of the physical education student.

[0088] In this embodiment, the terminal identifies the submitted data and submitted videos of each physical education student based on the assignment execution information of the physical education student, and performs frame processing on the submitted videos to obtain single-frame images. Specifically, the submitted videos of the students are divided into sub-videos corresponding to the names of each assignment task, and then the terminal performs frame processing on each sub-video to obtain single-frame images of each sub-video. Then, the terminal divides each single-frame image into image groups corresponding to each assignment task. Each assignment task corresponds to a video data, and each image group is an image group obtained by summarizing the single-frame images of a single video data in chronological order.

[0089] For each image group, the terminal identifies the action execution information of the task corresponding to the image group and the action execution time of the task corresponding to the image group. Specifically, the terminal identifies the action content of the trainee and the action features of the action content in each single-frame image through the image feature recognition network. Then, based on each action feature, the terminal identifies the task number, frequency, amplitude and other data of the task performed by the trainee, and obtains the actual task execution status of each trainee. Finally, the terminal uses the actual task execution status as the task execution information of the task. For example, the task is 50 push-ups, and each single-frame image is the push-up action of the trainee when doing push-ups. The terminal extracts the current push-up action in each image and the action amplitude (angle between the upper arm and the forearm) of each push-up action, thereby identifying the actual push-up angle of the trainee's single push-up action. Then, the terminal determines the number of push-ups actually performed by the user and the actual push-up angle of each push-up according to the number of push-ups actually completed in the image group, and obtains the action execution information of the push-up task. Among them, the image feature recognition network is a convolutional neural network based on deep learning. Then, based on the actual task execution situation, the terminal identifies the number of frames included in the student's execution of each complete task action, thereby obtaining the duration of the user's execution of each complete task action, and uses the duration corresponding to the number of all single-frame images contained in the image group corresponding to the task, as well as the duration of each complete task action, as the action execution duration of the task corresponding to the image group.

[0090] The terminal uses the action execution information of each work task, the action execution time of each work task, and the submission data of the sports trainee as the work execution progress information of the sports trainee.

[0091] Based on the above scheme, the student's homework execution progress information is determined by analyzing the action execution information and action execution duration of each submitted video, thereby improving the accuracy of identifying the student's homework execution progress information.

[0092] Optionally, the execution evaluation strategy includes an enthusiasm evaluation strategy and a completion evaluation strategy. Based on the homework execution progress information of each sports student and the historical homework information of each sports student, the execution evaluation information of each sports student is evaluated through the execution evaluation strategy, including: for each sports student, based on the sports student's action execution information in each homework task and the sports student's action execution time in each homework task, the completion evaluation strategy is used to evaluate the sports student's technical score value for each homework task, the sports student's physical fitness status for each homework task, and the sports student's cooperation and coordination degree for each homework task; based on each homework task The technical scoring value, the physical fitness status of each work task, and the degree of cooperation and coordination of each work task are used to identify the homework completion effect of the physical education students, and based on the historical homework information of the physical education students, the historical submission data of the physical education students are identified; based on the submission data of the physical education students and the historical submission data of the physical education students, the timeliness of the submission and the homework participation of the physical education students are identified; based on the timeliness of the submission and the homework participation of the physical education students, the homework enthusiasm of the physical education students is identified through the enthusiasm assessment strategy; the homework completion effect of the physical education students and the homework enthusiasm of the physical education students are used as the homework execution evaluation information of the physical education students.

[0093] In this embodiment, the terminal, for each sports student, based on the sports student's action execution information in each task, and the sports student's action execution time in each task, evaluates the technical score value of each task of the sports student, the physical fitness state of each task of the sports student, and the cooperation degree of each task of the sports student through the completion evaluation strategy. Specifically, the terminal obtains the student's self-technical score value for each task, and the tutor's tutor score value for each task of the student, and then averages the self-technical score value and the tutor score value of each task to obtain the technical score value of each task. Then, based on the action execution information of each task, and the action execution time of each task, the terminal evaluates the first quality index value corresponding to the action execution information of each task, and the second quality index value corresponding to the action execution time of each task through the quality evaluation index strategy, and averages the first quality index value and the second quality index value to obtain the student's physical fitness state. Afterwards, the terminal identifies the degree of completion of each task based on the action execution information of each task, and identifies the completion efficiency of each task based on the action execution time of each task, and then identifies the user's submission timeliness based on the user's submission data. Then, the terminal queries the completion range to which each degree of completion belongs, the completion efficiency range to which each completion efficiency belongs, and the submission timeliness range to which the submission timeliness belongs in the task execution evaluation database for the degree of completion of each task, the completion efficiency range to which each completion efficiency belongs, and the submission timeliness range to which the submission timeliness belongs. The terminal queries the cooperation and coordination degree corresponding to each completion efficiency range, each completion range, and the submission timeliness range in the task execution evaluation database to obtain the cooperation and coordination degree of each task. Among them, the task execution evaluation database contains a completion efficiency range, a completion range, and a timeliness range corresponding to each cooperation and coordination degree.

[0094] The terminal performs weighted summation of the scores corresponding to the technical score values ​​of each task, the quality index values ​​corresponding to the physical fitness status of each task, and the coordination values ​​corresponding to the cooperation and coordination of each task to obtain the completion results of each sub-task, and then the terminal averages the completion results of the sub-tasks corresponding to each task to obtain the completion results of the physical education student. Among them, the weight values ​​corresponding to the technical score values, the weight values ​​corresponding to the quality index values, and the index values ​​corresponding to the coordination values ​​are preset in the terminal.

[0095] The terminal identifies each historical submission data of the sports student based on the sports student's historical homework information. Then, based on the sports student's submission data and the sports student's historical submission data, the terminal identifies the sports student's submission timeliness and the sports student's homework participation. Among them, the submission timeliness is that the terminal determines whether each submission time node exceeds each submission agreed time node, and divides the number of times that it does not exceed by the total number of submissions to obtain the student's submission timeliness. The homework participation is the ratio between the number of each homework task submitted by the student each time and the number of homework tasks that actually need to be submitted, and calculates the average value between the ratio values ​​submitted each time, to obtain the sports student's homework participation.

[0096] The terminal identifies the homework enthusiasm of the physical education student through an enthusiasm evaluation strategy based on the physical education student's submission timeliness and the homework participation. The enthusiasm evaluation strategy includes a submission timeliness range corresponding to each homework enthusiasm and a homework participation range. The terminal identifies the submission timeliness range to which the physical education student's submission timeliness belongs and the homework participation range corresponding to each homework participation, thereby identifying the homework enthusiasm of the physical education student.

[0097] Finally, the terminal uses the physical education student's homework completion effect and the physical education student's homework enthusiasm as the physical education student's homework execution evaluation information.

[0098] Based on the above scheme, the students' technical score, physical fitness status, and cooperation and coordination degree are comprehensively analyzed to analyze the students' homework completion effect, thereby improving the accuracy of identifying the homework completion effect. Then, the students' homework enthusiasm is analyzed through submission data and historical submission data, thereby improving the comprehensiveness and accuracy of the analysis of students.

[0099] Optionally, a target teaching plan for each physical education student is generated based on the homework execution evaluation information of each physical education student and the physical education group to which each physical education student belongs, including: for each physical education student, based on the physical education group to which the physical education student belongs and the physical education student's physical fitness preference, a candidate teaching plan for the physical education student is generated in the teaching plan database; based on the physical education student's homework completion effect, the degree of cooperation with the original teaching plan of the physical education student is identified, and based on the physical education student's homework enthusiasm, the degree of recognition of the original teaching plan by the physical education student is identified; based on the physical education student's degree of cooperation with the original teaching plan, the physical education student's recognition of the original teaching plan, and the original teaching plan, the candidate teaching plan is adjusted to obtain the target teaching plan for the physical education student.

[0100] In this embodiment, the terminal generates a candidate teaching plan for each sports student in the teaching plan database based on the sports education group to which the sports student belongs and the physical fitness preference of the sports student. Wherein, the candidate teaching plan is a historical teaching plan of the teaching objectives corresponding to the teaching syllabus of the sports education group, and in the historical teaching plan, the teaching direction is biased towards the physical fitness preference direction of the sports student. For example, the teaching syllabus is to improve the goals of the student's endurance, strength, etc., and the physical fitness preference of student A is the leg explosive power preference. Then the historical teaching plan is a training plan for improving endurance and strength from the leg explosive power as the entry point. Wherein, the generation method of the candidate teaching plan is that the terminal identifies the teaching features of each historical teaching plan, and calculates the similarity between the physical fitness features of the target physical fitness information corresponding to each teaching feature and the physical fitness preference of the student, and selects the historical teaching plan to which the teaching feature corresponding to the maximum similarity belongs as the candidate teaching plan of the student.

[0101] Then, the terminal identifies the degree of cooperation of the physical education students with the original teaching plan based on the completion effect of the physical education students' homework, and identifies the degree of approval of the physical education students with the original teaching plan based on the homework enthusiasm of the physical education students. Specifically, the homework completion effect is represented by a specific completeness value. The terminal queries the degree of cooperation corresponding to different completion values ​​in the homework evaluation database, thereby identifying the degree of cooperation of the physical education students with the original teaching plan. Similarly, the homework enthusiasm is represented by a specific enthusiasm value. The terminal queries the degree of approval corresponding to different enthusiasm values ​​in the homework evaluation database, thereby identifying the degree of approval of the physical education students with the original teaching plan.

[0102] The terminal adjusts the candidate teaching plan based on the degree of cooperation of the physical education students to the original teaching plan, the degree of recognition of the physical education students to the original teaching plan, and the original teaching plan, and obtains the target teaching plan of the physical education students. Among them, the higher the degree of cooperation and the higher the degree of recognition, the more the teaching method in the history teaching plan is biased towards the original teaching plan, and the lower the degree of cooperation and the lower the degree of recognition, the more the teaching method in the history teaching plan needs to be different from the original teaching plan. The adjustment method of the teaching plan is that the terminal calculates the average value between the degree of cooperation and the degree of recognition, obtains the deviation between the target teaching plan of the student and the original teaching plan, and calculates the teaching features of the original teaching plan and the teaching features of the candidate teaching plan through the cosine similarity algorithm. Then, the terminal uses the teaching features corresponding to the similarity greater than the similarity threshold preset in the terminal as similar teaching features.

[0103] Then, when the adjustment mode is biased towards the original teaching plan, that is, the student is more suitable for the original teaching plan. At this time, the terminal replaces the teaching content corresponding to each non-similar teaching feature in each candidate teaching plan with the teaching content of each non-similar teaching feature in the original teaching plan to obtain the target teaching plan for the student.

[0104] When the adjustment method is different from the original teaching plan, that is, the student is not suitable for the original teaching plan, at this time, the terminal queries the teaching content of each historical teaching feature whose similarity with each similar teaching feature is greater than the similarity threshold in the teaching plan database, and selects the first teaching content of the first historical teaching feature that is not the original teaching plan. Then the terminal semantically identifies the physical fitness semantic information corresponding to the target physical fitness information of the student's preferred physical fitness, and the teaching semantic information corresponding to the teaching method information of each first teaching content, and calculates the semantic similarity between each physical fitness semantic information and each teaching semantic information through a similarity algorithm. After that, the terminal selects the first teaching content corresponding to the teaching semantic information with the maximum semantic similarity as the new teaching content for each similar teaching feature. The terminal replaces the teaching content of each similar teaching feature with each new teaching content to obtain the student's target teaching plan.

[0105] Based on the above scheme, by combining the students' physical fitness level and physical fitness preference, the candidate teaching plan for the students is generated, and then the students' adaptability and recognition to the original teaching plan are analyzed through the execution results of the students' assignments, so as to adjust the candidate teaching plan, so that the adjusted teaching plan is more suitable for each student and can improve the students' teaching reception effect. In this way, the accuracy of generating teaching plans for each student is comprehensively improved.

[0106] This application also provides an example of generating a teaching plan, such as Figure 2 As shown, the specific processing process includes the following steps:

[0107] Step S201, obtaining the physical fitness test data of each sports trainee, the homework execution information of each sports trainee, and the historical homework information of each sports trainee.

[0108] Step S202, for each sports student, based on the physical fitness test data of the sports student, identify the indicator data of each sports test type, and based on the physical fitness indicator evaluation strategy, identify the indicator evaluation strategy of each sports test type.

[0109] Step S203, based on the indicator evaluation strategy of each physical test type, perform indicator evaluation processing on the indicator data of each physical test type to obtain the indicator evaluation value of each physical test type, and based on the indicator evaluation value of each physical test type, screen the physical test type corresponding to the indicator evaluation value greater than the evaluation value threshold as the preferred physical test type of the physical trainee.

[0110] Step S204, querying the physical fitness test target of the preferred sports test type and the target physical fitness information of the sports trainee in the physical fitness test target in the physical fitness test database, and using the target physical fitness information as the physical fitness preference of the sports trainee.

[0111] Step S205, based on the indicator evaluation values ​​of each sports test type and the physical fitness test targets of each depression test type, query the target level of the physical fitness test target corresponding to each indicator evaluation value in the physical fitness test database, and calculate the physical fitness level of the sports trainee based on the target level of each physical fitness test target and the preset weight value of each physical fitness test target.

[0112] Step S206, for each physical education student, based on the indicator evaluation value of the preferred physical test type corresponding to the physical fitness preference, calculate the preference degree of the physical fitness preference and obtain the student's candidate teaching plan.

[0113] Step S207, identifying the teaching goal deviation between the teaching goals in the candidate teaching plan and the physical fitness test goals corresponding to the sports preference, and based on the teaching goal deviation and the preference degree of the physical fitness preference, identifying the level adjustment degree of the sports student through the deviation level adjustment strategy.

[0114] Step S208, based on the degree of adjustment and the physical level of the physical education students, determine the target physical level of the physical education students, and divide the physical education students into groups according to their target physical level to obtain physical education groups.

[0115] Step S209, for each sports student, based on the sports student's homework execution information, identify the sports student's submitted data and the student's submitted video, and perform frame processing on the submitted video to obtain each single frame image.

[0116] Step S210, dividing each single frame image into image groups corresponding to each operation task, and for each image group, identifying the action execution information of the operation task corresponding to the image group and the action execution duration of the operation task corresponding to the image group.

[0117] Step S211, taking the action execution information of each homework task, the action execution time of each homework task, and the submission data of the sports trainee as the homework execution progress information of the sports trainee.

[0118] Step S212, for each sports student, based on the sports student's action execution information in each work task, and the sports student's action execution time in each work task, through the completion evaluation strategy, evaluate the sports student's technical score value for each work task, the sports student's physical fitness status for each work task, and the sports student's degree of cooperation and coordination for each work task.

[0119] Step S213, based on the technical score of each homework task, the physical fitness status of each homework task, and the degree of cooperation and coordination of each homework task, identify the homework completion effect of the sports trainee, and based on the historical homework information of the sports trainee, identify the historical submission data of the sports trainee.

[0120] Step S214, based on the submission data of the physical education students and the historical submission data of the physical education students, identify the timeliness of the submission of the physical education students and the homework participation of the physical education students, and based on the timeliness of the submission of the physical education students and the homework participation of the physical education students, identify the homework enthusiasm of the physical education students through the enthusiasm assessment strategy.

[0121] Step S215, taking the homework completion effect of the physical education student and the homework enthusiasm of the physical education student as the homework execution evaluation information of the physical education student.

[0122] Step S216, for each physical education student, based on the physical education group to which the physical education student belongs and the physical fitness preference of the physical education student, a candidate teaching plan for the physical education student is generated in the teaching plan database.

[0123] Step S217, based on the results of the physical education students' homework completion, identify the degree of cooperation of the physical education students with the original teaching plan, and based on the degree of enthusiasm of the physical education students in their homework, identify the degree of recognition of the original teaching plan by the physical education students.

[0124] Step S218, based on the sports trainees' cooperation with the original teaching plan, the sports trainees' recognition of the original teaching plan, and the original teaching plan, adjust the candidate teaching plans to obtain the target teaching plan for the sports trainees.

[0125] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0126] Based on the same inventive concept, the embodiment of the present application also provides a teaching plan generation device for implementing the teaching plan generation method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the one or more teaching plan generation device embodiments provided below can refer to the limitations of the teaching plan generation method above, and will not be repeated here.

[0127] In an exemplary embodiment, Figure 3 As shown, a device for generating a teaching plan is provided, comprising: an acquisition module 310, a grouping module 320 and a generation module 330, wherein:

[0128] The acquisition module 310 is used to acquire the physical fitness test data of each sports trainee, the operation execution information of each sports trainee, and the historical operation information of each sports trainee, and based on the physical fitness test data of each sports trainee, the physical fitness level of each sports trainee and the physical fitness preference of each sports trainee are evaluated through a physical fitness index evaluation strategy;

[0129] The grouping module 320 is used to group the sports students based on the physical fitness level and the physical fitness preference of each sports student to obtain each sports education group, and identify the homework execution progress information of each sports student based on the homework execution information of each sports student;

[0130] Generation module 330 is used to evaluate the homework execution evaluation information of each physical education student based on the homework execution progress information of each physical education student and the historical homework information of each physical education student through an execution degree evaluation strategy, and generate a target teaching plan for each physical education student based on the homework execution evaluation information of each physical education student and the physical education group to which each physical education student belongs.

[0131] Optionally, the acquisition module 310 is specifically configured to:

[0132] For each sports student, based on the physical fitness test data of the sports student, identify the index data of each sports test type, and based on the physical fitness index evaluation strategy, identify the index evaluation strategy of each sports test type;

[0133] Based on the indicator evaluation strategy of each of the physical test types, the indicator data of each of the physical test types are subjected to indicator evaluation processing to obtain the indicator evaluation value of each of the physical test types, and based on the indicator evaluation value of each of the physical test types, the physical test type corresponding to the indicator evaluation value greater than the evaluation value threshold is screened as the preferred physical test type of the physical trainee;

[0134] In the physical test database, query the physical fitness test target of the preferred physical test type and the target physical fitness information of the physical fitness test target of the sports trainee, and use the target physical fitness information as the physical fitness preference of the sports trainee;

[0135] Based on the indicator evaluation values ​​of each of the physical test types and the physical fitness test targets of each of the depression test types, the target level of the physical fitness test target corresponding to each indicator evaluation value is queried in the physical test database, and based on the target level of each of the physical fitness test targets and the preset weight value of each of the physical fitness test targets, the physical fitness level of the physical trainee is calculated.

[0136] Optionally, the grouping module 320 is specifically configured to:

[0137] For each physical education student, based on the index evaluation value of the preferred physical test type corresponding to the physical fitness preference, the preference degree of the physical fitness preference is calculated, and a candidate teaching plan for the student is obtained;

[0138] Identify the teaching goal deviation between the teaching goal in the candidate teaching plan and the physical fitness test goal corresponding to the physical fitness preference, and identify the regrading degree of the physical education student through a deviation regrading strategy based on the teaching goal deviation and the preference degree of the physical fitness preference;

[0139] Based on the degree of adjustment and the physical education level of the physical education students, the target physical education level of the physical education students is determined, and the physical education students are divided and processed according to their target physical education levels to obtain various physical education groups.

[0140] Optionally, the grouping module 320 is specifically configured to:

[0141] For each sports student, based on the homework execution information of the sports student, the submitted data and the submitted video of the student are identified, and the submitted video is processed by frame division to obtain each single frame image;

[0142] Dividing each of the single-frame images into image groups corresponding to each job task, and identifying, for each image group, action execution information of the job task corresponding to the image group and the action execution duration of the job task corresponding to the image group;

[0143] The action execution information of each of the homework tasks, the action execution time of each of the homework tasks, and the submission data of the physical education student are used as the homework execution progress information of the physical education student.

[0144] Optionally, the generating module 330 is specifically configured to:

[0145] For each physical education student, based on the action execution information of the physical education student in each task and the action execution time of the physical education student in each task, the completion evaluation strategy is used to evaluate the technical score value of each task of the physical education student, the physical fitness status of each task of the physical education student, and the cooperation and coordination degree of each task of the physical education student;

[0146] Based on the technical score value of each of the homework tasks, the physical fitness status of each of the homework tasks, and the degree of cooperation and coordination of each of the homework tasks, the homework completion effect of the sports trainee is identified, and based on the historical homework information of the sports trainee, each historical submission data of the sports trainee is identified;

[0147] Based on the submission data of the physical education student and the historical submission data of the physical education student, the timeliness of the submission of the physical education student and the homework participation of the physical education student are identified, and based on the timeliness of the submission of the physical education student and the homework participation of the physical education student, the homework enthusiasm of the physical education student is identified through the enthusiasm evaluation strategy;

[0148] The homework completion effect of the physical education student and the homework enthusiasm of the physical education student are used as the homework execution evaluation information of the physical education student.

[0149] Optionally, the generating module 330 is specifically configured to:

[0150] For each physical education student, based on the physical education group to which the physical education student belongs and the physical fitness preference of the physical education student, a candidate teaching plan for the physical education student is generated in a teaching plan database;

[0151] Based on the completion effect of the physical education students' homework, identify the degree of cooperation of the physical education students with the original teaching plan, and based on the homework enthusiasm of the physical education students, identify the degree of recognition of the physical education students with the original teaching plan;

[0152] Based on the degree of cooperation of the physical education student with the original teaching plan, the degree of recognition of the physical education student with the original teaching plan, and the original teaching plan, the candidate teaching plans are adjusted to obtain the target teaching plan for the physical education student.

[0153] Each module in the above-mentioned teaching plan generation device can be implemented in whole or in part by software, hardware and a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module above.

[0154] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 4 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for generating a teaching plan is implemented.

[0155] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 4 As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for generating a teaching plan is realized. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0156] Those skilled in the art will understand that Figure 4The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0157] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

[0158] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0159] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the steps of any one of the methods in the first aspect.

[0160] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0161] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0162] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0163] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for generating a teaching plan, characterized in that: The method comprises: Obtaining the physical fitness test data of each sports student, the homework execution information of each sports student, and the historical homework information of each sports student, and based on the physical fitness test data of each sports student, evaluating the physical fitness level of each sports student and the physical fitness preference of each sports student through a physical fitness index evaluation strategy; Based on the physical fitness level of each of the physical education students and the physical fitness preference of each of the physical education students, the physical education students are grouped to obtain each physical education group, and based on the homework execution information of each of the physical education students, the homework execution progress information of each physical education student is identified; Based on the homework execution progress information of each physical education student and the historical homework information of each physical education student, the homework execution evaluation information of each physical education student is evaluated through an execution degree evaluation strategy, and based on the homework execution evaluation information of each physical education student and the physical education group to which each physical education student belongs, a target teaching plan for each physical education student is generated.

2. The method according to claim 1, characterized in that Based on the physical fitness test data of each of the sports trainees, the physical fitness level of each of the sports trainees and the physical fitness preference of each of the sports trainees are evaluated through a physical fitness index evaluation strategy, including: For each sports student, based on the physical fitness test data of the sports student, identify the index data of each sports test type, and based on the physical fitness index evaluation strategy, identify the index evaluation strategy of each sports test type; Based on the indicator evaluation strategy of each of the physical test types, the indicator data of each of the physical test types are subjected to indicator evaluation processing to obtain the indicator evaluation value of each of the physical test types, and based on the indicator evaluation value of each of the physical test types, the physical test type corresponding to the indicator evaluation value greater than the evaluation value threshold is screened as the preferred physical test type of the physical trainee; In the physical test database, query the physical fitness test target of the preferred physical test type and the target physical fitness information of the physical fitness test target of the sports trainee, and use the target physical fitness information as the physical fitness preference of the sports trainee; Based on the indicator evaluation values ​​of each of the physical test types and the physical fitness test targets of each of the depression test types, the target level of the physical fitness test target corresponding to each indicator evaluation value is queried in the physical test database, and based on the target level of each of the physical fitness test targets and the preset weight value of each of the physical fitness test targets, the physical fitness level of the physical trainee is calculated.

3. The method according to claim 2, characterized in that The physical education students are grouped based on their physical fitness levels and physical fitness preferences to obtain physical education groups, including: For each physical education student, based on the index evaluation value of the preferred physical test type corresponding to the physical fitness preference, the preference degree of the physical fitness preference is calculated, and a candidate teaching plan for the student is obtained; Identify the teaching goal deviation between the teaching goal in the candidate teaching plan and the physical fitness test goal corresponding to the physical fitness preference, and identify the regrading degree of the physical education student through a deviation regrading strategy based on the teaching goal deviation and the preference degree of the physical fitness preference; Based on the degree of adjustment and the physical education level of the physical education students, the target physical education level of the physical education students is determined, and the physical education students are divided and processed according to their target physical education levels to obtain various physical education groups.

4. The method according to claim 1, characterized in that: The step of identifying the homework execution progress information of each physical education student based on the homework execution information of each physical education student includes: For each sports student, based on the homework execution information of the sports student, the submitted data and the submitted video of the student are identified, and the submitted video is processed by frame division to obtain each single frame image; Dividing each of the single-frame images into image groups corresponding to each job task, and identifying, for each image group, action execution information of the job task corresponding to the image group and the action execution duration of the job task corresponding to the image group; The action execution information of each of the homework tasks, the action execution time of each of the homework tasks, and the submission data of the physical education student are used as the homework execution progress information of the physical education student.

5. The method according to claim 4, characterized in that The execution evaluation strategy includes an enthusiasm evaluation strategy and a completion evaluation strategy. The execution progress information of each sports student and the historical homework information of each sports student are used to evaluate the homework execution evaluation information of each sports student through the execution evaluation strategy, including: For each physical education student, based on the action execution information of the physical education student in each task and the action execution time of the physical education student in each task, the completion evaluation strategy is used to evaluate the technical score value of each task of the physical education student, the physical fitness status of each task of the physical education student, and the cooperation and coordination degree of each task of the physical education student; Based on the technical score value of each of the homework tasks, the physical fitness status of each of the homework tasks, and the degree of cooperation and coordination of each of the homework tasks, the homework completion effect of the sports trainee is identified, and based on the historical homework information of the sports trainee, each historical submission data of the sports trainee is identified; Based on the submission data of the physical education student and the historical submission data of the physical education student, the timeliness of the submission of the physical education student and the homework participation of the physical education student are identified, and based on the timeliness of the submission of the physical education student and the homework participation of the physical education student, the homework enthusiasm of the physical education student is identified through the enthusiasm evaluation strategy; The homework completion effect of the physical education student and the homework enthusiasm of the physical education student are used as the homework execution evaluation information of the physical education student.

6. The method according to claim 5, characterized in that The method of generating a target teaching plan for each physical education student based on the homework execution evaluation information of each physical education student and the physical education group to which each physical education student belongs includes: For each physical education student, based on the physical education group to which the physical education student belongs and the physical fitness preference of the physical education student, a candidate teaching plan for the physical education student is generated in a teaching plan database; Based on the completion effect of the physical education students' homework, identify the degree of cooperation of the physical education students with the original teaching plan, and based on the homework enthusiasm of the physical education students, identify the degree of recognition of the physical education students with the original teaching plan; Based on the degree of cooperation of the physical education student with the original teaching plan, the degree of recognition of the physical education student with the original teaching plan, and the original teaching plan, the candidate teaching plans are adjusted to obtain the target teaching plan for the physical education student.

7. A device for generating a teaching plan, characterized in that: The device comprises: An acquisition module is used to acquire the physical fitness test data of each sports trainee, the homework execution information of each sports trainee, and the historical homework information of each sports trainee, and based on the physical fitness test data of each sports trainee, the physical fitness level of each sports trainee and the physical fitness preference of each sports trainee are evaluated through a physical fitness index evaluation strategy; A grouping module, for grouping the sports students based on the physical fitness level and the physical fitness preference of each sports student to obtain each sports education group, and identifying the homework execution progress information of each sports student based on the homework execution information of each sports student; A generation module is used to evaluate the homework execution evaluation information of each physical education student based on the homework execution progress information of each physical education student and the historical homework information of each physical education student through an execution degree evaluation strategy, and to generate a target teaching plan for each physical education student based on the homework execution evaluation information of each physical education student and the physical education group to which each physical education student belongs.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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