Metacosm education training platform system and method

Abstract

The invention discloses a meta-universe education training platform system and method, and relates to the technical field of education training, and the system comprises a data collection module, a meta-universe teaching scheme module, a reception rate module, a meta-universe implementation module, a meta-universe achievement analysis module, and a direction improvement module. The universe teaching system has the advantages that through the universe teaching scheme module, the universe teaching scheme can be precisely designed according to the teaching target and content, the requirements of different courses and universe teaching scenes are met, and the pertinence and effectiveness of universe teaching are improved; the receiving rate module is used for helping educators to quickly know about the general learning condition of the student group in the meta universe, so that the teaching strategy can more accurately adapt to the requirements of each student, and the personalized teaching arrangement can be realized through the meta universe implementation module. And through the meta universe achievement analysis module, educators can more comprehensively understand the learning characteristics of the students.

Description

Technical Field

[0001] The present invention relates to the field of educational training technology, and specifically to a metaverse educational training platform system and method. Background Art

[0002] Education is the driving force and foundation of human social development. Every leap forward in human society is accompanied by a corresponding educational revolution. Education is the basic means for people to socialize, modernize and constantly improve themselves. The function of education is generated from the inside out, and is useful to the outside through internalization. The inside is the essence, and the outside is the function. Education has the dual role of growth and screening. Children growing up is a natural process, and growth is an unavoidable issue. The right direction is healthy growth.

[0003] When used, common training platform systems only rely on test scores to evaluate students' learning status, ignoring many key factors in the learning process. They cannot fully reflect students' true learning ability and level, and cannot fully tap the learning talents of different students, which affects students' learning effects. To this end, we propose a metaverse education training platform system and method. Summary of the invention

[0004] The purpose of the present invention is to provide a metaverse education and training platform system and method.

[0005] In order to solve the problems raised in the above background technology, the present invention provides the following technical solutions: a metaverse education and training platform system, including a data acquisition module, which can collect training platform data and trainee information, and also includes a metaverse teaching program module, an acceptance rate module, a metaverse implementation module, a metaverse achievement analysis module and a direction improvement module;

[0006] The Metaverse teaching program module collects Metaverse teaching information and teaching method information, generates teaching step information, and then collects students' real-time behavior data in the Metaverse environment to establish a program editing unit. Educators can edit the teaching step information through the teaching editing unit to generate a teaching program that adapts to the Metaverse environment;

[0007] The receiving rate module extracts the student's performance information in the Metaverse learning scenario, formulates the original receiving rate based on the student's performance information, and then formulates identity codes for different students. The original receiving rate is then marked on the identity code, and a perfecting unit is established. The perfecting unit can receive the perfecting information analyzed by the direction perfecting module, and then use the perfecting information to perfect the original receiving rate to generate a follow-up receiving rate.

[0008] The Metaverse implementation module extracts the Metaverse teaching plan and builds a complete Metaverse virtual campus environment. The scenes and facilities in the virtual campus can be customized according to teaching needs, and the teaching plan is split to obtain the Metaverse teaching steps. The level of detail of the Metaverse reception steps is analyzed, and the students’ course reception time in the Metaverse is adjusted according to the Metaverse teaching plan, follow-up reception rate and the level of detail of the Metaverse reception steps. Then, Metaverse teaching is processed for different students, and the teaching process is recorded synchronously. The virtual venue environment builds the cooperating schools together in the venue environment, and the students communicate with the students of the cooperating schools in the venue environment. A private domain unit is established for each student. The students can adjust the environment of the private domain personnel as needed. At the same time, different students can enter the private domain units of other students with permission;

[0009] The Metaverse Achievement Analysis Module formulates examination questions for different students according to the Metaverse teaching plan and teaching process, and then uses the examination questions to test the learning achievements of different students in the Metaverse environment and analyze the students' learning achievements in the Metaverse;

[0010] The direction improvement module analyzes the students' reception results of different metaverse teaching methods, analyzes the reception rates of different metaverse teaching plans and different metaverse teaching methods based on the reception results, generates the improvement reception rate, and then transmits the improvement reception rate information to the improvement unit.

[0011] As a further solution of the present invention: when collecting the metaverse teaching method information, the metaverse teaching plan module analyzes the difficulty of receiving the teaching method information in the metaverse environment, wherein the difficulty of receiving the information will generate difficult and easy test questions when judging, and then convert the content of the difficult and easy test questions into virtual demonstration information and image display information according to the metaverse teaching method, generate question teaching information, and then randomly extract 50 students to view the question teaching information. The number of students extracted can be adjusted as needed. After completing the metaverse teaching, the 50 students are asked to answer the difficult and easy test questions, and the accuracy of the answers is analyzed.

[0012] As a further solution of the present invention: after analyzing the accuracy rate of the answers, the Metaverse teaching plan module will judge the difficulty level of the Metaverse teaching method information based on the accuracy rate of the answers, where the difficulty level is divided into ten levels, and the questions and the number of questions of 50 students are counted, the number of questions is divided into 10 areas, the number of correctly answered questions among the 50 students' questions is calculated, and the area where the number of correctly answered questions is located is analyzed, and then the difficulty level of the Metaverse teaching method information is judged.

[0013] As a further solution of the present invention: after the reception rate module completes the improvement of the original reception rate, the educator will set a improvement impact ratio for the improved information, wherein the improvement impact ratio refers to the specific impact of the improved information on the original reception rate, and when the original reception rate is obtained, the improvement impact ratio of the improved information is 0, and at this time the improvement impact ratio of the improved information will not affect the original reception rate.

[0014] As a further solution of the present invention: when the receiving rate module uses the improvement information to improve the original receiving rate, it will automatically calculate the follow-up receiving rate, and simultaneously collect the number of participants in the metaverse learning process, and set the receiving rate increase index for the number of participants, wherein the educator edits and adjusts the increase index, and sets the original receiving rate to Y 原始 , let the perfect impact ratio of perfect information be W 比值 , let the follow-up receiving rate be G 跟随 , let the number of participations be C 参与 , let the increase index be Z 指数 ;

[0015] G 跟随 =Y 原始 ×(1-W 比值 )+C 参与 ×Z 指数

[0016] According to the above formula, the follow-up acceptance rate can be calculated. Suppose the student's score is C 成绩 , the total score is C 总分 ;

[0017] For example, if the educator determines the increase index to be 0.5, then G 跟随 =Y 原始 ×(1-W 比值 +C 参与 ×0.5, when the student's participation times is 10, the participation times will increase the follow-up acceptance rate by an additional part, making the follow-up acceptance rate higher;

[0018]

[0019] According to the above formula, the original acceptance rate can be calculated. Let the student score in the complete information be Y C , let the total score of the completed information be J 总分 ;

[0020]

[0021] According to the above formula, the improvement impact ratio of the improvement information can be calculated, and then the improvement information is initialized, and the number of initialization times of the improvement information is recorded and marked on the improvement information. When the improvement information appears again in the future, the follow-up reception rate will be converted into the old reception rate, and the old reception rate will cover the original reception rate, and then the follow-up reception rate will be calculated again.

[0022] As a further solution of the present invention: when analyzing the detail level of the receiving step, the Metaverse implementation module will calculate the course receiving time of the student in the Metaverse according to the Metaverse teaching plan, the follow-up acceptance rate of different students and the detail level of the receiving step, wherein the detail level of the receiving step is the same as the difficulty level of the Metaverse teaching method information, thereby obtaining the detail level level and the number of detail levels of the receiving step. Suppose the teaching time of the Metaverse teaching plan is J 时间 , let the effect of the detail of the receiving steps on the course receiving time be X 影响 , let the level of detail of the receiving steps increase the speed of students’ understanding in the metaverse as X 速度 , let the Metaverse course receiving time be K 课程 ;

[0023] K 课程 =J 时间 +J 时间 (1-G 跟随 )+(J 时间 ×X 影响 )(1-X 速度 )

[0024] According to the above formula, the time to receive the Metaverse course can be calculated. Assume that the level of detail of the receiving step is N. 等级 , let the number of levels of detail of the receiving step be D 数量 ;

[0025]

[0026] According to the above formula, we can calculate the impact of the detail of the receiving steps on the course receiving time. Suppose the original student’s learning time in the Metaverse is S 时间 , let the student’s current learning process in the metaverse be X 进程 ;

[0027]

[0028] According to the above formula, we can calculate that the detail of the receiving steps can increase the students' understanding speed in the metaverse. Suppose the total content of the process is J 总内容 , let the content of students' study be X 内容 ;

[0029]

[0030] According to the above formula, the student's current learning progress in the metaverse can be calculated, and then teaching tasks can be issued to different students according to the Metaverse course reception time. At the same time, students can also conduct collaborative learning in the Metaverse environment, and then establish a representation unit. Students can type the required information into the representation unit. The Metaverse will convert the content in the representation unit into a three-dimensional virtual image, so that the student's thinking can be displayed more clearly. Educators can enter the Metaverse teaching scene with a virtual image and interact with students in real time.

[0031] As a further solution of the present invention: when formulating the Metaverse test questions, the Metaverse achievement analysis module will generate 5 questions of one question type according to different Metaverse teaching method information and expression methods, wherein the number of questions generated is adjusted as needed, and the questions are sorted according to the difficulty level of the Metaverse teaching method information, and the data in the 5 questions are changed at the same time. When using the test questions to test different students in the Metaverse environment, a memory function will be established, and when the students answer the questions, the order of their answers will be synchronously recorded;

[0032] When a student answers questions in the set order, a sequential answer label will be marked on the student's answer sheet. The sequential answer label is green.

[0033] When a student skips answers, a skip answer label will be marked on the student's answer sheet. The skip answer label is a red label.

[0034] As a further solution of the present invention: when analyzing the learning outcomes of students in the Metaverse, the Metaverse achievement analysis module will establish a qualified threshold, count the correctly answered questions, and calculate the number of all answered questions, divide the correctly answered questions by the number of answered questions, and obtain the correct index to check whether the correct index is higher than the qualified threshold. When the correct index is higher than the qualified threshold, a display report is generated for display processing. When the correct index is lower than the qualified threshold, a copy of the student's learning outcomes in the Metaverse is transmitted to the direction improvement module, and a learning achievement radar chart is generated in the Metaverse to virtually display the student's mastery of different knowledge fields or skill dimensions, and create a learning trajectory chart to present the student's growth path and progress in the Metaverse learning process.

[0035] In addition, a method of a metaverse education and training platform is proposed, comprising the following steps:

[0036] S100, collecting Metaverse training platform data and student information, editing teaching step information, and obtaining a teaching plan adapted to the Metaverse environment;

[0037] S200, extracting the student's performance information in the Metaverse learning scenario, formulating the original acceptance rate, and formulating identity codes for different students;

[0038] S300, establishing a perfecting unit, using the perfecting information to perfect the original receiving rate, and generating a follow-up receiving rate;

[0039] S400, split the Metaverse teaching plan, obtain the Metaverse teaching steps, analyze the detail of the Metaverse receiving steps, perform Metaverse teaching on the students, and record the teaching progress;

[0040] S500. Formulate Metaverse examination questions for different students according to the Metaverse teaching plan and teaching process;

[0041] S600. Analyze students' acceptance results of different metaverse teaching methods, analyze the acceptance rates of different metaverse teaching plans and different metaverse teaching methods based on the acceptance results, and generate a perfect acceptance rate.

[0042] By adopting the above technical solution, compared with the prior art, the beneficial effects of the present invention are:

[0043] 1. The present invention enables the Metaverse teaching plan to be accurately designed according to the teaching objectives and content through the Metaverse teaching plan module, so as to meet the needs of different courses and Metaverse teaching scenarios, and help improve the pertinence and effectiveness of Metaverse teaching. The reception rate module helps educators to quickly understand the approximate learning status of the student group in the Metaverse, so that the teaching strategy can more accurately adapt to the needs of each student. The Metaverse implementation module can realize personalized teaching arrangements. The Metaverse achievement analysis module helps educators to more comprehensively understand the learning characteristics of students, so that the generated Metaverse teaching plan is more perfect.

[0044] 2. The present invention helps to reasonably select and adjust the Metaverse teaching method in the design of the Metaverse teaching plan and the implementation of the Metaverse teaching through the Metaverse teaching plan module, so as to better match the learning ability of the students, and help educators to more accurately grasp the difficulty characteristics of the Metaverse teaching method. The acceptance rate module can make the calculation of the student acceptance rate more accurate and dynamic based on the subsequent improved information, which can better reflect the changes in the students' real learning situation in the Metaverse, and ensure that the student acceptance rate can be continuously and dynamically updated;

[0045] 3. The present invention can accurately determine the reasonable Metaverse course reception time for each student through the Metaverse implementation module, thereby improving the utilization efficiency of Metaverse teaching resources. The Metaverse achievement analysis module can provide educators with a new perspective to understand students' learning methods and thinking characteristics, which is helpful for targeted learning guidance and teaching improvement, promote the continuous optimization of Metaverse teaching content and methods, and form a closed-loop feedback mechanism for improving Metaverse teaching effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 A schematic diagram of a system flow in an embodiment of the present invention;

[0047] Figure 2 Schematic diagram of the method steps in an embodiment of the present invention. DETAILED DESCRIPTION

[0048] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings. It should be noted that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation of the present invention.

[0049] In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0050] Embodiment 1:

[0051] Therefore, in order to effectively solve the above problems, this application proposes a metaverse education and training platform system and method, as shown in the accompanying drawings of the specification. Figure 1-2 As shown, it includes a data collection module, which can collect training platform data and student information, and also includes a metaverse teaching plan module, an acceptance rate module, a metaverse implementation module, a metaverse achievement analysis module, and a direction improvement module;

[0052] The Metaverse teaching program module collects Metaverse teaching information and teaching method information, generates teaching step information, and then collects students' real-time behavior data in the Metaverse environment to establish a program editing unit. Educators can edit the teaching step information through the teaching editing unit to generate a teaching program that adapts to the Metaverse environment;

[0053] The receiving rate module extracts the student's performance information in the Metaverse learning scenario, formulates the original receiving rate based on the student's performance information, and then formulates identity codes for different students. The original receiving rate is then marked on the identity code, and a perfecting unit is established. The perfecting unit can receive the perfecting information analyzed by the direction perfecting module, and then use the perfecting information to perfect the original receiving rate to generate a follow-up receiving rate.

[0054] The Metaverse implementation module extracts the Metaverse teaching plan and builds a complete Metaverse virtual campus environment. The scenes and facilities in the virtual campus can be customized according to teaching needs, and the teaching plan is split to obtain the Metaverse teaching steps. The level of detail of the Metaverse reception steps is analyzed, and the students’ course reception time in the Metaverse is adjusted according to the Metaverse teaching plan, follow-up reception rate and the level of detail of the Metaverse reception steps. Then, Metaverse teaching is processed for different students, and the teaching process is recorded synchronously. The virtual venue environment builds the cooperating schools together in the venue environment, and the students communicate with the students of the cooperating schools in the venue environment. A private domain unit is established for each student. The students can adjust the environment of the private domain personnel as needed. At the same time, different students can enter the private domain units of other students with permission;

[0055] When teaching different students, an autonomous selection unit is also established, in which students can choose the three sets of metaverse teaching plans that they are interested in;

[0056] Plan adaptive learning paths for each student based on their individual characteristics. Instead of being limited to the traditional linear teaching sequence, the order of teaching steps and learning focus are dynamically adjusted based on the actual situation of the students.

[0057] The Metaverse Achievement Analysis Module formulates examination questions for different students according to the Metaverse teaching plan and teaching process, and then uses the examination questions to test the learning achievements of different students in the Metaverse environment and analyze the students' learning achievements in the Metaverse;

[0058] The direction improvement module analyzes the students’ acceptance results of different metaverse teaching methods, analyzes the acceptance rates of different metaverse teaching plans and different metaverse teaching methods based on the acceptance results, generates the improvement acceptance rate, and then transmits the improvement acceptance rate information to the improvement unit;

[0059] Specific workflow: Collect training platform data and student information, collect Metaverse teaching information, teaching method information and real-time behavior data of students in the Metaverse environment, generate teaching step information, educators edit teaching step information through the program editing unit, form a teaching plan that adapts to the Metaverse environment, extract students' performance information in the Metaverse learning scenario, formulate the original reception rate based on this, formulate identity codes for students, mark the original reception rate on it, establish a perfect unit, receive the perfect information of the direction perfect module, use it to perfect the original reception rate, generate the follow-up reception rate, build a customizable Metaverse virtual campus environment, split the teaching plan to obtain the teaching steps , analyze the level of detail of the receiving steps, adjust the student course receiving time according to the teaching plan, follow-up receiving rate and the level of detail of the receiving steps, and then conduct Metaverse teaching processing on the students, synchronously record the teaching process, and the students can communicate with the students of the cooperative school in the virtual campus environment, have private domain units and can visit each other when allowed, and can also conduct collaborative learning, formulate examination questions for the students according to the teaching plan and teaching process, use these questions to test the students' learning outcomes in the Metaverse environment, analyze the students' reception results of different Metaverse teaching methods, and analyze the reception rates of different teaching plans and teaching methods accordingly, generate a perfect reception rate and transmit it to the perfect unit;

[0060] Furthermore, the Metaverse teaching plan module enables the Metaverse teaching plan to be accurately designed according to teaching objectives and content to meet the needs of different courses and Metaverse teaching scenarios, which helps to improve the pertinence and effectiveness of Metaverse teaching. The reception rate module helps educators quickly understand the approximate learning status of the student group in the Metaverse, so that teaching strategies can more accurately adapt to the needs of each student. The Metaverse implementation module can realize personalized teaching arrangements. The Metaverse results analysis module helps educators to have a more comprehensive understanding of the students' learning characteristics, making the generated Metaverse teaching plan more perfect.

[0061] Embodiment 2:

[0062] Based on the first embodiment, as shown in the accompanying drawings of the specification Figure 1-2 As shown, when the Metaverse teaching program module collects Metaverse teaching method information, it analyzes the difficulty of the teaching method information in the Metaverse environment. When the difficulty of the reception information is judged, it will generate difficult and easy test questions, and then convert the content of the difficult and easy test questions into virtual demonstration information and image display information according to the Metaverse teaching method, generate question teaching information, and then randomly extract 50 students to view the question teaching information. The number of people extracted can be adjusted as needed. After completing the Metaverse teaching, let the 50 students answer the difficult and easy test questions, and analyze the accuracy of the answers;

[0063] After analyzing the accuracy of the answers, the Metaverse Teaching Program Module will determine the difficulty level of the Metaverse Teaching Method information based on the accuracy of the answers. The difficulty level is divided into ten levels. The questions and the number of questions of 50 students are counted, and the number of questions is divided into 10 areas. The number of correctly answered questions among the questions of the 50 students is calculated, and the area where the number of correctly answered questions is located is analyzed to determine the difficulty level of the Metaverse Teaching Method information.

[0064] After determining the difficulty level of the teaching method information, the Metaverse Teaching Plan Module will adaptively adjust the difficulty level based on the students’ real-time learning situation and feedback;

[0065] After the receiving rate module completes the improvement of the original receiving rate, the educator will set the improvement impact ratio for the improved information. The improvement impact ratio refers to the specific impact of the improved information on the original receiving rate. When the original receiving rate is obtained, the improvement impact ratio of the improved information is 0. At this time, the improvement impact ratio of the improved information will not affect the original receiving rate.

[0066] When the receiving rate module uses the improved information to improve the original receiving rate, it will automatically calculate the follow-up receiving rate and simultaneously collect the number of participants in the Metaverse learning process, and set the receiving rate increase index for the number of participants. The educator edits and adjusts the increase index, and sets the original receiving rate to Y. 原始 , let the perfect impact ratio of perfect information be W 比值 , let the follow-up receiving rate be G 跟随 , let the number of participations be C 参与 , let the increase index be Z 指数 ;

[0067] G 跟随 =Y 原始 ×(1-W 比值 )+C 参与 ×Z 指数

[0068] According to the above formula, the follow-up acceptance rate can be calculated. Suppose the student's score is C 成绩 , the total score is C 总分 ;

[0069]

[0070] According to the above formula, the original acceptance rate can be calculated. Let the student score in the complete information be Y C , let the total score of the completed information be J 总分 ;

[0071]

[0072] According to the above formula, the improvement impact ratio of the improvement information can be calculated, and then the improvement information is initialized, and the number of initializations of the improvement information is recorded and marked on the improvement information. When the improvement information appears again in the future, the follow-up reception rate will be converted into the old reception rate, and the old reception rate will cover the original reception rate, and then the follow-up reception rate will be calculated again;

[0073] Specific workflow: Collect Metaverse teaching method information, determine its reception difficulty in the Metaverse environment, convert the content of difficult and easy test questions into virtual demonstration information and image display information according to the Metaverse teaching method, randomly select 50 students to view the teaching information, and after completing the Metaverse teaching, let these students answer difficult and easy test questions, analyze the accuracy of the students' answers, and determine the difficulty level of the Metaverse teaching method information. According to the students' subsequent real-time learning situation and feedback, make adaptive adjustments to the determined difficulty level, and set a perfect impact ratio for perfect information. This ratio indicates the specific degree of influence of the perfect information on the original reception rate. When the original reception rate is initially obtained, the perfect impact ratio of the perfect information is 0, which does not affect the original reception rate at this time, and then calculate the follow-up reception rate. When the perfect information appears again in the future, the follow-up reception rate is converted into the old reception rate, and the old reception rate covers the original reception rate. Then, the new follow-up reception rate is calculated again according to the above formula;

[0074] Furthermore, the Metaverse Teaching Plan Module helps to reasonably select and adjust the Metaverse teaching method during the Metaverse teaching plan design and Metaverse teaching implementation process to better match the students' learning abilities, and helps educators to more accurately grasp the difficulty characteristics of the Metaverse teaching method. The acceptance rate module can make the calculation of the student acceptance rate more accurate and dynamic based on the subsequent improved information, which can better reflect the changes in the students' actual learning situation in the Metaverse and ensure that the student acceptance rate can be continuously and dynamically updated.

[0075] Embodiment three:

[0076] Based on the second embodiment, as shown in the accompanying drawings of the specification Figure 1-2 As shown, when analyzing the detail level of the receiving step, the Metaverse implementation module will calculate the student's course receiving time in the Metaverse according to the Metaverse teaching plan, the follow-up acceptance rate of different students, and the detail level of the receiving step. The detail level of the receiving step is the same as the difficulty level of the Metaverse teaching method information, thereby obtaining the detail level and the number of detail levels of the receiving step. Suppose the teaching time of the Metaverse teaching plan is J 时间 , let the effect of the detail of the receiving steps on the course receiving time be X 影响 , let the level of detail of the receiving steps increase the speed of students’ understanding in the metaverse as X 速度 , let the Metaverse course receiving time be K课程 ;

[0077] K 课程 =J 时间 +J 时间 (1-G 跟随 )+(J 时间 ×X 影响 )(1-X 速度 )

[0078] According to the above formula, the time to receive the Metaverse course can be calculated. Assume that the level of detail of the receiving step is N. 等级 , let the number of levels of detail of the receiving step be D 数量 ;

[0079]

[0080] According to the above formula, we can calculate the impact of the detail of the receiving steps on the course receiving time. Suppose the original student’s learning time in the Metaverse is S 时间 , let the student’s current learning process in the metaverse be X 进程 ;

[0081]

[0082] According to the above formula, we can calculate that the detail of the receiving steps can increase the students' understanding speed in the metaverse. Suppose the total content of the process is J 总内容 , let the content of students' study be X 内容 ;

[0083]

[0084] According to the above formula, the student's current learning progress in the Metaverse can be calculated, and then teaching tasks can be issued to different students according to the Metaverse course reception time. At the same time, students can also conduct collaborative learning in the Metaverse environment, and then establish a representation unit. Students can type the required information into the representation unit, and the Metaverse will convert the content in the representation unit into a three-dimensional virtual image, so that the student's thinking can be displayed more clearly. Educators can enter the Metaverse teaching scene with a virtual image and interact with students in real time;

[0085] When formulating the Metaverse exam questions, the Metaverse Achievement Analysis Module will generate 5 questions for one type of question according to different Metaverse teaching method information and expression methods, among which the number of questions generated will be adjusted according to the needs, and they will be sorted according to the difficulty level of the Metaverse teaching method information, and the data in the 5 questions will be changed at the same time. When using the exam questions to test different students in the Metaverse environment, a memory function will be established, and when the students answer the questions, the order of their answers will be recorded synchronously;

[0086] When a student answers questions in the set order, a sequential answer label will be marked on the student's answer sheet. The sequential answer label is green.

[0087] When a student skips a question, a skip answer label will be marked on the student's answer sheet. The skip answer label is red.

[0088] When analyzing students' learning outcomes in the Metaverse, the Metaverse Achievement Analysis Module will establish a qualified threshold, count the correctly answered questions, and calculate the number of all answered questions, so that the correctly answered questions are divided by the number of answered questions to obtain the correct index, and check whether the correct index is higher than the qualified threshold. When the correct index is higher than the qualified threshold, a display report is generated for display processing. When the correct index is lower than the qualified threshold, a copy of the student's learning outcomes in the Metaverse is transmitted to the Direction Improvement Module, and a learning outcome radar chart is generated in the Metaverse to virtually display the student's mastery of different knowledge fields or skill dimensions, and to create a learning trajectory chart to present the student's growth path and progress in the Metaverse learning process;

[0089] Specific workflow: Calculate the course reception time of students in the Metaverse based on the teaching time of the Metaverse teaching plan, the follow-up reception rate of different students, and the influence of the detailed degree of reception steps on the course reception time. Issue teaching tasks for different students based on the calculated Metaverse course reception time. Students can conduct collaborative learning in the Metaverse environment and establish representation units. Students type the required information into them, and the Metaverse will convert them into three-dimensional virtual images to show the students' thinking. Educators can enter the Metaverse teaching scene with virtual images and interact with students in real time. Generate a certain number of questions of a certain type according to different Metaverse teaching method information and expression methods, sort these questions according to the difficulty level of the Metaverse teaching method information, and change the data in the questions at the same time. When testing students, establish a memory function, synchronously record the order of students' answers, count the number of questions answered correctly by students, count the number of all answered questions, and calculate the correct index. Generate a learning achievement radar chart in the Metaverse, virtually display the students' mastery of different knowledge fields or skill dimensions, and make a learning trajectory chart to present the students' growth path and progress in the Metaverse learning process;

[0090] Furthermore, the Metaverse Implementation Module can accurately determine the reasonable Metaverse course reception time for each student, improving the utilization efficiency of Metaverse teaching resources. The Metaverse Outcome Analysis Module can provide educators with a new perspective to understand students' learning methods and thinking characteristics, help to provide targeted learning guidance and teaching improvements, promote the continuous optimization of Metaverse teaching content and methods, and form a closed-loop feedback mechanism for improving Metaverse teaching effectiveness.

[0091] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A Metaverse education and training platform system, comprising a data acquisition module, which can collect training platform data and student information, characterized in that: It also includes the Metaverse Teaching Program Module, the Acceptance Rate Module, the Metaverse Implementation Module, the Metaverse Achievement Analysis Module, and the Direction Improvement Module; The Metaverse teaching program module collects Metaverse teaching information and teaching method information, generates teaching step information, and then collects students' real-time behavior data in the Metaverse environment to establish a program editing unit. Educators can edit the teaching step information through the teaching editing unit to generate a teaching program that adapts to the Metaverse environment; The receiving rate module extracts the student's performance information in the Metaverse learning scenario, formulates the original receiving rate based on the student's performance information, and then formulates identity codes for different students. The original receiving rate is then marked on the identity code, and a perfecting unit is established. The perfecting unit can receive the perfecting information analyzed by the direction perfecting module, and then use the perfecting information to perfect the original receiving rate to generate a follow-up receiving rate. The Metaverse implementation module extracts the Metaverse teaching plan and builds a complete Metaverse virtual campus environment. The scenes and facilities in the virtual campus can be customized according to teaching needs, and the teaching plan is split to obtain the Metaverse teaching steps. The level of detail of the Metaverse reception steps is analyzed, and the students’ course reception time in the Metaverse is adjusted according to the Metaverse teaching plan, follow-up reception rate and the level of detail of the Metaverse reception steps. Then, Metaverse teaching is processed for different students, and the teaching process is recorded synchronously. The virtual venue environment builds the cooperating schools together in the venue environment, and the students communicate with the students of the cooperating schools in the venue environment. A private domain unit is established for each student. The students can adjust the environment of the private domain personnel as needed. At the same time, different students can enter the private domain units of other students with permission; The Metaverse Achievement Analysis Module formulates examination questions for different students according to the Metaverse teaching plan and teaching process, and then uses the examination questions to test the learning achievements of different students in the Metaverse environment and analyze the students' learning achievements in the Metaverse; The direction improvement module analyzes the students' reception results of different metaverse teaching methods, analyzes the reception rates of different metaverse teaching plans and different metaverse teaching methods based on the reception results, generates the improvement reception rate, and then transmits the improvement reception rate information to the improvement unit.

2. A Metaverse education and training platform system according to claim 1, characterized in that: When collecting the metaverse teaching method information, the metaverse teaching plan module analyzes the difficulty of receiving the teaching method information in the metaverse environment. When judging the difficulty of receiving the information, it will generate difficult and easy test questions. Then, according to the metaverse teaching method, the content of the difficult and easy test questions will be converted into virtual demonstration information and image display information to generate question teaching information. Then, 50 students are randomly selected to view the question teaching information. The number of students selected can be adjusted as needed. After completing the metaverse teaching, the 50 students are asked to answer the difficult and easy test questions, and the accuracy of the answers is analyzed.

3. A Metaverse education and training platform system according to claim 2, characterized in that: After analyzing the accuracy of the answers, the Metaverse teaching plan module will judge the difficulty level of the Metaverse teaching method information based on the accuracy of the answers. The difficulty level is divided into ten levels. The questions and the number of questions of 50 students are counted, and the number of questions is divided into 10 areas. The number of correctly answered questions among the 50 students is calculated, and the area where the number of correctly answered questions is located is analyzed to determine the difficulty level of the Metaverse teaching method information.

4. A Metaverse education and training platform system according to claim 3, characterized in that: After the reception rate module completes the improvement of the original reception rate, the educator will set an improvement impact ratio for the improved information, where the improvement impact ratio refers to the specific impact of the improved information on the original reception rate. When the original reception rate is obtained, the improvement impact ratio of the improved information is 0. At this time, the improvement impact ratio of the improved information will not affect the original reception rate.

5. A Metaverse education and training platform system according to claim 4, characterized in that: When the receiving rate module uses the improved information to improve the original receiving rate, it will automatically calculate the follow-up receiving rate and simultaneously collect the number of participants in the Metaverse learning process, and set the receiving rate increase index for the number of participants. The educator edits and adjusts the increase index, and sets the original receiving rate to Y 原始 , let the perfect impact ratio of perfect information be W 比值 , let the follow-up receiving rate be G 跟随 , let the number of participations be C 参与 , let the increase index be Z 指数 ; G 跟随 =Y 原始 ×(1-W 比值 )+C 参与 ×Z 指数 According to the above formula, the follow-up acceptance rate can be calculated. Suppose the student's score is C 成绩 , the total score is C 总分 ; According to the above formula, the original acceptance rate can be calculated. Let the student score in the complete information be Y C , let the total score of the completed information be J 总分 ; According to the above formula, the improvement impact ratio of the improvement information can be calculated, and then the improvement information is initialized, and the number of initialization times of the improvement information is recorded and marked on the improvement information. When the improvement information appears again in the future, the follow-up reception rate will be converted into the old reception rate, and the old reception rate will cover the original reception rate, and then the follow-up reception rate will be calculated again.

6. A Metaverse education and training platform system according to claim 5, characterized in that: When analyzing the detail level of the receiving step, the Metaverse implementation module will calculate the course receiving time of the students in the Metaverse according to the Metaverse teaching plan, the follow-up acceptance rate of different students, and the detail level of the receiving step, where the detail level of the receiving step is the same as the difficulty level of the Metaverse teaching method information, thereby obtaining the detail level and the number of detail levels of the receiving step. Suppose the teaching time of the Metaverse teaching plan is J 时间 , let the effect of the detail of the receiving steps on the course receiving time be X 影响 , let the detail of the receiving step increase the speed of students’ understanding in the metaverse as X 速度 , let the Metaverse course receiving time be K 课程 ; K 课程 =J 时间 +J 时间 (1-G 跟随 )+(J 时间 ×X 影响 )(1-X 速度 ) According to the above formula, the time to receive the Metaverse course can be calculated. Assume that the level of detail of the receiving step is N. 等级 , let the number of levels of detail of the receiving step be D 数量 ; According to the above formula, we can calculate the impact of the detail of the receiving steps on the course receiving time. Suppose the original student’s learning time in the Metaverse is S 时间 , let the student’s current learning process in the metaverse be X 进程 ; According to the above formula, we can calculate that the level of detail of the receiving steps can increase the students’ understanding speed in the Metaverse. Suppose the total content of the process is J 总内容 , let the content of students' study be X 内容 ; According to the above formula, the student's current learning progress in the metaverse can be calculated, and then teaching tasks can be issued to different students according to the Metaverse course reception time. At the same time, students can also conduct collaborative learning in the Metaverse environment, and then establish a representation unit. Students can type the required information into the representation unit. The Metaverse will convert the content in the representation unit into a three-dimensional virtual image, so that the student's thinking can be displayed more clearly. Educators can enter the Metaverse teaching scene with a virtual image and interact with students in real time.

7. The Metaverse education and training platform system according to claim 1, characterized in that: When formulating the Metaverse test questions, the Metaverse Achievement Analysis Module will generate five questions of one type according to different Metaverse teaching method information and expression methods, wherein the number of questions generated is adjusted as needed, and the questions are sorted according to the difficulty level of the Metaverse teaching method information, and the data in the five questions are changed at the same time. When using the test questions to test different students in the Metaverse environment, a memory function will be established, and when the students answer the questions, the order of their answers will be synchronously recorded; When a student answers questions in the set order, a sequential answer label will be marked on the student's answer sheet. The sequential answer label is green. When a student skips answers, a skip answer label will be marked on the student's answer sheet. The skip answer label is a red label.

8. A Metaverse education and training platform system according to claim 7, characterized in that: When analyzing the students' learning outcomes in the Metaverse, the Metaverse Achievement Analysis Module will establish a qualified threshold, count the correctly answered questions, and calculate the number of all answered questions, divide the correctly answered questions by the number of answered questions, and obtain the correct index to check whether the correct index is higher than the qualified threshold. When the correct index is higher than the qualified threshold, a display report is generated for display processing. When the correct index is lower than the qualified threshold, a copy of the student's learning outcomes in the Metaverse is transmitted to the direction improvement module, and a learning outcome radar chart is generated in the Metaverse to virtually display the student's mastery of different knowledge fields or skill dimensions, and create a learning trajectory chart to present the student's growth path and progress in the Metaverse learning process.

9. A method for a Metaverse education and training platform applicable to the Metaverse education and training platform system of any one of claims 1 to 8, characterized in that: The following steps are involved: S100, collecting Metaverse training platform data and student information, editing teaching step information, and obtaining a teaching plan adapted to the Metaverse environment; S200, extracting the student's performance information in the Metaverse learning scenario, formulating the original acceptance rate, and formulating identity codes for different students; S300, establishing a perfecting unit, using the perfecting information to perfect the original receiving rate, and generating a follow-up receiving rate; S400, split the Metaverse teaching plan, obtain the Metaverse teaching steps, analyze the detail of the Metaverse receiving steps, perform Metaverse teaching on the students, and record the teaching progress; S500. Formulate Metaverse examination questions for different students according to the Metaverse teaching plan and teaching process; S600. Analyze students' acceptance results of different metaverse teaching methods, analyze the acceptance rates of different metaverse teaching plans and different metaverse teaching methods based on the acceptance results, and generate a perfect acceptance rate.

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