A special management method and system for an educational research platform

Abstract

The application provides a special management method and system for an education research platform, which comprises the following steps: checking the personnel identity of each logged-in person respectively, issuing corresponding research tasks and research permissions, obtaining the permission exercise data generated when each logged-in person executes the research task, constructing the research archives of each logged-in person in combination with the corresponding research permissions, constructing the research access path of the corresponding logged-in person in the research platform according to the permission exercise data, obtaining the corresponding research results of this time and transmitting them to the corresponding login page for display, analyzing the research reports of all the logged-in persons under different disciplines, and transmitting them to the platform homepage for display. The learning plan for each student in the education research platform is formulated, and the learning effect is analyzed, so that the learning effect of the student in the education research platform is effectively improved.

Description

Technical Field

[0001] This invention relates to the field of educational platform management technology, and in particular to a specific management method and system for educational research and study platforms. Background Technology

[0002] Educational research and study platforms are learning platforms that combine education and practice. They typically provide students with online and offline learning resources to help them deepen their knowledge and improve their skills through practical activities. Research and study activities include, but are not limited to, field trips, academic lectures, and hands-on experiments, aiming to enhance understanding through firsthand experience and interactive learning. Because educational research and study platforms are a high-quality educational approach that combines online and offline resources, and can also cultivate students' interactive collaboration and comprehensive practical abilities, many schools have incorporated them into their practical courses. However, current research and study platforms have limited functionality, only allowing for simple learning and online practice. They cannot accurately analyze students' mastery of practical knowledge or determine whether students have personally participated in the research and study process. Therefore, improving the monitoring and personalized learning capabilities of research and study platforms has become a pressing issue.

[0003] Therefore, the present invention provides a special management method and system for educational research and study platforms. Summary of the Invention

[0004] This invention provides a specialized management method and system for educational research and learning platforms, which develops learning plans for each student and analyzes their learning outcomes within the platform, effectively improving students' learning effectiveness.

[0005] This invention provides a specialized management method for educational research platforms, comprising:

[0006] Step 1: Verify the identity of each logged-in user, and issue corresponding study tour tasks and study tour permissions to each logged-in user based on the user's identity;

[0007] Step 2: Obtain the permission exercise data generated by each logged-in person when performing the study tour task, and construct a study tour file for each logged-in person in combination with the corresponding study tour permissions;

[0008] Step 3: Based on the permission exercise data, construct the study access path of the logged-in personnel in the study platform, obtain the study results of each logged-in personnel, and transmit them to the corresponding login page for display;

[0009] Step 4: Analyze the study reports of all logged-in users in different disciplines based on the study records and the results of this study, and transmit them to the platform homepage for display.

[0010] In one feasible approach

[0011] Step 1 includes:

[0012] Step 11: Set up corresponding identity login information for each logged-in person according to their class, and set up corresponding study tour content for each logged-in person according to the study tour progress of their class.

[0013] Step 12: When the logged-in user logs in using the identity login information, the unique characteristics of the target class to which the logged-in user belongs are searched in the study platform. An identity verification method is generated based on the unique characteristics of the class to verify the identity of the logged-in user.

[0014] Step 13: When the logged-in person passes the identity verification, determine the person's identity in the class, obtain the person's previous study tour content, and construct the person's study tour task based on the current study tour content;

[0015] Step 14: Locate the task execution requirements corresponding to each study tour task in the study tour platform, construct several study tour access locations for the logged-in user in the study tour platform based on the task execution requirements, and determine the study tour permissions corresponding to each logged-in user.

[0016] In one feasible approach

[0017] Also includes:

[0018] If the logged-in user fails to verify their identity, the user will be notified that the current study tour operation is invalid.

[0019] Simultaneously, the system identifies the estimated identity of the logged-in user, constructs and displays relevant educational and interesting knowledge for the user based on the content displayed on the login page.

[0020] In one feasible approach

[0021] Step 2 includes:

[0022] Step 21: Set the scope of permission execution for the corresponding logged-in personnel according to the study tour permissions, construct the study tour knowledge graph of the logged-in personnel by combining the study tour task and the historical study tour process of the logged-in personnel, and deduce the study tour preference characteristics of the logged-in personnel;

[0023] Step 22: Construct the relevant knowledge structure of the logged-in user when completing the study tour task based on the study tour knowledge graph, construct the interest preferences of the logged-in user when completing the study tour task based on the study tour preference characteristics, adjust the relevant knowledge structure using the interest preferences, and generate a personalized study tour path for the logged-in user;

[0024] Step 23: Obtain the activity data of the logged-in user in the study tour platform, filter the target activity data that is consistent with the personalized study tour path and sort them by time to obtain the permission exercise data generated when the logged-in user performs the study tour task;

[0025] Step 24: Map the permission exercise data into the personalized study tour path, generate several study tour operations for the logged-in user, perform compliance analysis on the study tour operations according to the corresponding study tour permissions, filter several valid operations that meet the study tour permissions based on the analysis results, and construct the study tour file for the logged-in user.

[0026] In one feasible approach

[0027] Step 3 includes:

[0028] Step 31: Obtain the execution range of each study tour permission, perform text analysis on the data of each permission exercise to obtain several core information, map the core information of each logged-in person to the corresponding permission execution range, and generate the dynamic trajectory of the logged-in person within the permission execution range;

[0029] Step 32: Perform unsupervised learning training on the dynamic trajectory to obtain dimensionality-reduced exercise data and several trajectory clustering groups corresponding to each logged-in user. In the dimensionality-reduced exercise data, identify several trajectory key information corresponding to the logged-in user and set information weights for each trajectory key information. Identify the trajectory clustering group corresponding to each trajectory key information and set corresponding group weights for each trajectory clustering group.

[0030] Step 33: Based on the information weight and group weight corresponding to each of the key trajectory information, highlight each trajectory position in the dynamic trajectory, and remove redundant trajectory positions with weight values ​​less than the preset weight value according to the marking results to obtain the study and access path corresponding to each logged-in person;

[0031] Step 34: Based on the study tour access path, deduce the study tour results of the logged-in personnel, and at the same time determine whether each study tour access path covers the corresponding study tour task, generate the study tour result report of the logged-in personnel and display it.

[0032] In one feasible approach

[0033] Also includes:

[0034] When the coverage of the study tour access path for the corresponding study tour task is less than 90%, the corresponding logged-in user is restricted from exiting the study tour and guided to continue performing the study tour task.

[0035] In one feasible approach

[0036] Step 4 includes:

[0037] Step 41: Classify the logged-in personnel by class, compile the study tour files and achievements of each class, and determine the subject of this study tour based on the study tour task;

[0038] Step 42: Based on the subject of this study tour, summarize the study tour files and achievements of the corresponding classes, score the study tour effectiveness of the classes, and obtain a study tour report for each class;

[0039] Step 43: Update the study report to the corresponding historical subject information according to the subject of this study tour, and transmit it to the platform homepage for display.

[0040] In one feasible approach

[0041] Also includes:

[0042] Based on the study tour records and the results of this study tour, a knowledge list for the next study tour will be set for the corresponding logged-in personnel.

[0043] This invention provides a specialized management system for an educational research platform, comprising:

[0044] The study preparation module is used to verify the identity of each logged-in user and issue corresponding study tasks and permissions to each logged-in user based on the user's identity.

[0045] The data analysis module is used to obtain the permission exercise data generated by each logged-in user when performing the study tour task, and to construct the study tour file of each logged-in user in combination with the corresponding study tour permissions;

[0046] The study tour supervision module is used to construct the study tour access path of the logged-in personnel in the study tour platform according to the permission exercise data, obtain the study tour results of each logged-in personnel and transmit them to the corresponding login page for display;

[0047] The results promotion module is used to analyze the research reports of all logged-in users in different disciplines based on the research archives and the results of this research trip, and then transmit them to the platform homepage for display.

[0048] In one feasible approach

[0049] The study tour preparation module includes:

[0050] The content specification unit is used to set corresponding identity login information for each logged-in person according to the class to which each logged-in person belongs, and to set corresponding study tour content for each logged-in person according to the study tour progress of each class.

[0051] An identity verification unit is used to search for the unique characteristics of the target class to which the logged-in person belongs in the study platform when the logged-in person logs in using the identity login information, generate an identity verification method based on the unique characteristics of the class, and verify the identity of the logged-in person.

[0052] The task setting unit is used to determine the identity of the logged-in person in the class when the logged-in person passes the identity verification, and to obtain the content of the logged-in person's previous study tour, and to construct the study tour task of the logged-in person in combination with the content of the current study tour;

[0053] The permission setting unit is used to find the task execution requirements corresponding to each study tour task in the study tour platform, construct several study tour access locations of the logged-in personnel in the study tour platform according to the task execution requirements, and the access operation corresponding to each study tour access location, and determine the study tour permissions corresponding to each logged-in personnel.

[0054] The beneficial effects of the above technical solution are as follows: To improve the intelligence and personalization of the educational research and study platform and ensure students' learning outcomes, the system first verifies the identity of logged-in users and configures corresponding research and study tasks and permissions based on their identities. This avoids the homogenization of tasks and permissions, allowing each user to conduct research and study activities suitable for themselves, thus improving the relevance and effectiveness of research and study. Then, by analyzing the permission exercise data generated when logged-in users perform research and study tasks, and combining this with their research and study permissions, a research and study profile is constructed for them. This not only records the user's task execution but also links it to their actions within their authorized scope. The operational information makes the archives richer and more comprehensive, providing a reliable basis for subsequent analysis of researchers' research performance, interests, and strengths. Then, to ensure that every student completes their research task, their research access path on the research platform is mapped to display their research results, which can enhance researchers' sense of accomplishment and stimulate their enthusiasm for further research. Finally, to encourage students to develop a healthy sense of competition, students and classes with good research results are displayed on the homepage of the research platform. On the other hand, it can also provide direction for the platform's own function optimization and content improvement, thereby improving the overall service quality of the platform.

[0055] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0056] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0057] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0058] Figure 1 This is a schematic diagram of the workflow of a special management method for an educational research platform according to an embodiment of the present invention;

[0059] Figure 2 This is a schematic diagram illustrating the composition of a specialized management system for an educational research platform, as described in an embodiment of the present invention. Detailed Implementation

[0060] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0061] Example 1:

[0062] This embodiment provides a specific management method for educational research platforms, such as... Figure 1 As shown, it includes:

[0063] Step 1: Verify the identity of each logged-in user, and issue corresponding study tour tasks and study tour permissions to each logged-in user based on the user's identity;

[0064] Step 2: Obtain the permission exercise data generated by each logged-in person when performing the study tour task, and construct a study tour file for each logged-in person in combination with the corresponding study tour permissions;

[0065] Step 3: Based on the permission exercise data, construct the study access path of the logged-in personnel in the study platform, obtain the study results of each logged-in personnel, and transmit them to the corresponding login page for display;

[0066] Step 4: Analyze the study reports of all logged-in users in different disciplines based on the study records and the results of this study, and transmit them to the platform homepage for display.

[0067] In this example, the logged-in user is either a student or a teacher, and the research permissions for students and teachers are different;

[0068] In this example, the study task refers to the task that a student or teacher needs to perform. For example, the teacher needs to upload relevant teaching tasks, and the student needs to learn the knowledge related to the teaching tasks.

[0069] In this example, the learning and research permission refers to the work that a student or teacher can perform on the educational learning and research platform. For example, teachers can add or delete student information on the platform, and students can watch learning and research videos and participate in fun quizzes.

[0070] In this example, the permission exercise data represents the data generated by the logged-in user within the scope of their study tour permissions when performing the study tour task;

[0071] In this example, the study tour archive represents the statistical results of the actions performed by logged-in users at different times;

[0072] In this example, the login page is unique to each user, and each user sees a different login page.

[0073] In this example, the study report represents the study and learning outcomes report of all logged-in users;

[0074] In this example, the platform homepage refers to the homepage of the educational research platform, which is a page that can be seen by all logged-in users.

[0075] The working principle and beneficial effects of the above technical solution are as follows: To improve the intelligence and personalization of the educational research and study platform and ensure students' learning outcomes, the system first verifies the identity of logged-in users and configures corresponding research and study tasks and permissions based on their identities. This avoids the homogenization of tasks and permissions, allowing each user to conduct research and study activities suitable for themselves, thus improving the relevance and effectiveness of research and study. Then, by analyzing the permission exercise data generated when logged-in users perform research and study tasks, and combining this with their research and study permissions, a research and study profile is constructed for each user. This not only records the user's task execution but also links it to their actions within their authorized scope. The operational information within the platform makes the archives richer and more comprehensive, providing a reliable basis for subsequent analysis of researchers' research performance, interests, and strengths. Then, to ensure that every student completes their research tasks, their research access path on the platform is mapped to display their research achievements, which enhances researchers' sense of accomplishment and motivates them to continue their research. Finally, to encourage students to develop a healthy competitive spirit, students and classes with good research results are displayed on the homepage of the platform. On the other hand, this also provides direction for optimizing the platform's functions and improving its content, thereby enhancing the overall service quality of the platform.

[0076] Example 2:

[0077] Based on Example 1, the specific management method for an educational research platform, step 1 includes:

[0078] Step 11: Set up corresponding identity login information for each logged-in person according to their class, and set up corresponding study tour content for each logged-in person according to the study tour progress of their class.

[0079] Step 12: When the logged-in user logs in using the identity login information, the unique characteristics of the target class to which the logged-in user belongs are searched in the study platform. An identity verification method is generated based on the unique characteristics of the class to verify the identity of the logged-in user.

[0080] Step 13: When the logged-in person passes the identity verification, determine the person's identity in the class, obtain the person's previous study tour content, and construct the person's study tour task based on the current study tour content;

[0081] Step 14: Locate the task execution requirements corresponding to each study tour task in the study tour platform, construct several study tour access locations for the logged-in user in the study tour platform based on the task execution requirements, and determine the study tour permissions corresponding to each logged-in user.

[0082] In this example, the login information represents the account and password used by the user when logging into the study tour platform;

[0083] In this example, class-specific features are used to distinguish different classes, such as class number;

[0084] In this example, the authentication method refers to the process of determining whether the identity of the currently logged-in person matches the identity of the person who logged in by asking questions. For example, asking for the names of classmates, the class schedule, the class's unique code, or the teacher's surname, etc.

[0085] In this example, the task execution requirements represent the content that needs to be performed to complete a study tour task. For example, completing a study tour task requires watching relevant videos, performing online operations, and answering questions after class.

[0086] In this example, the study tour access location refers to the location where a logged-in user performs different operations on the study tour platform, and the access operation refers to the operation performed by the logged-in user at a study tour access location.

[0087] The working principle and beneficial effects of the above technical solution are as follows: To ensure that students personally complete the entire study tour and avoid substitution by others, the system first sets the identities of login personnel according to class at the initial stage of the study tour. Based on the class's study tour progress, it sets corresponding study tour content for each student, reducing the probability of differences in study tour effectiveness due to individual progress discrepancies. Then, a simple identity verification process is performed on login personnel to effectively prevent unauthorized logins by non-class members, which could affect students' learning outcomes and grades. Next, based on each student's previous study tour content, corresponding study tour tasks are assigned. Within the study tour platform, the student's study tour access location and corresponding access operations are determined according to the task execution requirements of each study tour task, thus defining their appropriate study tour permissions. This prevents students from becoming distracted due to excessive permissions or hindering task completion due to insufficient permissions, thereby improving focus and efficiency during the study tour process.

[0088] Example 3:

[0089] Based on Example 2, the specific management method for an educational research platform further includes:

[0090] If the logged-in user fails to verify their identity, the user will be notified that the current study tour operation is invalid.

[0091] Simultaneously, the system identifies the estimated identity of the logged-in user, constructs and displays relevant educational and interesting knowledge for the user based on the content displayed on the login page.

[0092] The working principle and beneficial effects of the above technical solution are as follows: In order to prevent students from being unable to study due to login failure caused by mistakes, relevant interesting research and learning knowledge is displayed on the login page to prevent them from falling behind other students. If the person logging in is not a student of this school, the page can also be used to convey the academic style of this school.

[0093] Example 4:

[0094] Based on Example 1, the specific management method for an educational research platform, step 2 includes:

[0095] Step 21: Set the scope of permission execution for the corresponding logged-in personnel according to the study tour permissions, construct the study tour knowledge graph of the logged-in personnel by combining the study tour task and the historical study tour process of the logged-in personnel, and deduce the study tour preference characteristics of the logged-in personnel;

[0096] Step 22: Construct the relevant knowledge structure of the logged-in user when completing the study tour task based on the study tour knowledge graph, construct the interest preferences of the logged-in user when completing the study tour task based on the study tour preference characteristics, adjust the relevant knowledge structure using the interest preferences, and generate a personalized study tour path for the logged-in user;

[0097] Step 23: Obtain the activity data of the logged-in user in the study tour platform, filter the target activity data that is consistent with the personalized study tour path and sort them by time to obtain the permission exercise data generated when the logged-in user performs the study tour task;

[0098] Step 24: Map the permission exercise data into the personalized study tour path, generate several study tour operations for the logged-in user, perform compliance analysis on the study tour operations according to the corresponding study tour permissions, filter several valid operations that meet the study tour permissions based on the analysis results, and construct the study tour file for the logged-in user.

[0099] In this example, the research and learning knowledge graph represents a graph composed of the knowledge that the logged-in user has already mastered;

[0100] In this example, the study tour preference features represent the preferences of users when performing study tour tasks. For example, user A prefers to watch videos first and then perform exploration operations, user B prefers to perform exploration operations first and then watch videos, and user C prefers to adjust the page background to a dark color.

[0101] In this example, a personalized learning path refers to a learning process designed for a user based on their existing knowledge and learning preferences, and different students will have different personalized learning paths.

[0102] In this example, the target activity data represents the data generated when logged-in users perform operations in the personalized learning path. The purpose of obtaining the target activity data is to exclude irrelevant operations performed by logged-in users on the learning platform, such as accidental touches.

[0103] In this example, compliance analysis refers to the process of determining whether the study tour operation complies with the corresponding study tour permissions;

[0104] In this example, a valid operation means an operation performed within the scope of the study tour authorization and when completing the study tour task.

[0105] The working principle and beneficial effects of the above technical solution are as follows: In order to further promote the development of the study tour platform towards intelligence and refinement, and enhance students' interest in study tours, the system first constructs the study tour knowledge graph and study tour preference characteristics of the logged-in users based on their historical study tour process and study tour permissions. Then, it combines relevant knowledge structures to construct personalized study tour paths for the logged-in users, thereby increasing students' learning interest and avoiding the limitations of traditional teaching. Furthermore, it identifies the data on the logged-in users' permission exercise on the study tour platform, determines their study tour operations, and further filters out valid operations that comply with their study tour permissions through compliance analysis, generating study tour files for the logged-in users. This achieves personalized customization of study tour paths, accurate capture of learning behaviors, and high-quality generation of file data, thus enhancing students' study tour experience.

[0106] Example 5:

[0107] Based on Example 1, the specific management method for an educational research platform, step 3 includes:

[0108] Step 31: Obtain the execution range of each study tour permission, perform text analysis on the data of each permission exercise to obtain several core information, map the core information of each logged-in person to the corresponding permission execution range, and generate the dynamic trajectory of the logged-in person within the permission execution range;

[0109] Step 32: Perform unsupervised learning training on the dynamic trajectory to obtain dimensionality-reduced exercise data and several trajectory clustering groups corresponding to each logged-in user. In the dimensionality-reduced exercise data, identify several trajectory key information corresponding to the logged-in user and set information weights for each trajectory key information. Identify the trajectory clustering group corresponding to each trajectory key information and set corresponding group weights for each trajectory clustering group.

[0110] Step 33: Based on the information weight and group weight corresponding to each of the key trajectory information, highlight each trajectory position in the dynamic trajectory, and remove redundant trajectory positions with weight values ​​less than the preset weight value according to the marking results to obtain the study and access path corresponding to each logged-in person;

[0111] Step 34: Based on the study tour access path, deduce the study tour results of the logged-in personnel, and at the same time determine whether each study tour access path covers the corresponding study tour task, generate the study tour result report of the logged-in personnel and display it.

[0112] In this example, the core information represents the information presented when a logged-in user performs operations within the scope of their study tour permissions while carrying out a study tour task;

[0113] In this example, the dynamic trajectory represents the trajectory generated when a logged-in user performs operations within the scope of their authorized permissions;

[0114] In this example, unsupervised learning training represents the training process of performing cluster analysis and dimensionality reduction operations on dynamic trajectories;

[0115] In this example, the trajectory cluster group represents the result of classifying trajectory points with the same characteristics in a dynamic trajectory;

[0116] In this example, the dimension reduction data represents the result of performing a dimension reduction operation on the data presented by the dynamic trajectory;

[0117] In this example, information weight represents the weight of key trajectory information in the dimensionality-reduced exercise data, and group weight represents the weight of trajectory cluster groups in the dynamic trajectory.

[0118] In this example, the study tour access path represents the trace left by the logged-in user when performing study tour tasks on the study tour platform;

[0119] In this example, the preset weight value represents the minimum information weight contained in the trajectory cluster group with the highest group weight.

[0120] The working principle and beneficial effects of the above technical solution are as follows: To help students understand their learning progress and achievements at any time and motivate them to continue their efforts, the core information in the permission exercise data is first identified. Combined with the scope of permission execution, a dynamic trajectory for each logged-in user is constructed, intuitively displaying the learning path for subsequent analysis. Then, unsupervised learning training is used to perform dimensionality reduction and clustering on the dynamic trajectory. Corresponding information weights are matched to key information in each trajectory, and corresponding group weights are set for each trajectory cluster group. This reduces data redundancy, retains key features in the trajectory, highlights key behaviors of logged-in users, and improves the clarity of subsequent analysis. Thus, key points are marked in the dynamic trajectory, obtaining the learning access path for each logged-in user. Invalid clicks caused by student errors are eliminated, retaining the true learning trajectory for student review and teacher guidance. Finally, the learning outcomes of each logged-in user are derived, and an objective learning outcome report is generated. This provides support for personalized education and improves the platform's management efficiency and teaching quality.

[0121] Example 6:

[0122] Based on Example 5, the specific management method for an educational research platform further includes:

[0123] When the coverage of the study tour access path for the corresponding study tour task is less than 90%, the corresponding logged-in user is restricted from exiting the study tour and guided to continue performing the study tour task.

[0124] The working principle and beneficial effects of the above technical solution are as follows: when a user fails to complete the study and research task, their activities on the study and research platform are restricted, guiding them to continue learning.

[0125] Example 7:

[0126] Based on Example 1, the specific management method for an educational research platform, step 4 includes:

[0127] Step 41: Classify the logged-in personnel by class, compile the study tour files and achievements of each class, and determine the subject of this study tour based on the study tour task;

[0128] Step 42: Based on the subject of this study tour, summarize the study tour files and achievements of the corresponding classes, score the study tour effectiveness of the classes, and obtain a study tour report for each class;

[0129] Step 43: Update the study report to the corresponding historical subject information according to the subject of this study tour, and transmit it to the platform homepage for display.

[0130] The working principle and beneficial effects of the above technical solution are as follows: Login users are managed by class, the research and study records and research results of students in each class are analyzed, and then a research and study report for each class is constructed through research and study scoring. The report is then updated and stored in the corresponding subject. Finally, the research and study report of each class is displayed on the platform homepage for honor display. Parents can understand the overall research and study level of their child's class at any time and promptly identify and address any deficiencies.

[0131] Example 8:

[0132] Based on Example 1, the specific management method for an educational research platform further includes:

[0133] Based on the study tour records and the results of this study tour, a knowledge list for the next study tour will be set for the corresponding logged-in personnel.

[0134] The working principle and beneficial effects of the above technical solution are as follows: In order to ensure the effectiveness of learning and the continuity of knowledge, a knowledge network is created for students. After completing a study tour, the relevant knowledge for the next study tour is determined, which will guide the next study tour.

[0135] In this example, the logged-in user is either a student or a teacher, and the research permissions for students and teachers are different;

[0136] In this example, the study task refers to the task that a student or teacher needs to perform. For example, the teacher needs to upload relevant teaching tasks, and the student needs to learn the knowledge related to the teaching tasks.

[0137] In this example, the learning and research permission refers to the work that a student or teacher can perform on the educational learning and research platform. For example, teachers can add or delete student information on the platform, and students can watch learning and research videos and participate in fun quizzes.

[0138] In this example, the permission exercise data represents the data generated by the logged-in user within the scope of their study tour permissions when performing the study tour task;

[0139] In this example, the study tour archive represents the statistical results of the actions performed by logged-in users at different times;

[0140] In this example, the login page is unique to each user, and each user sees a different login page.

[0141] In this example, the study report represents the study and learning outcomes report of all logged-in users;

[0142] In this example, the platform homepage refers to the homepage of the educational research platform, which is a page that can be seen by all logged-in users.

[0143] The working principle and beneficial effects of the above technical solution are as follows: To improve the intelligence and personalization of the educational research and study platform and ensure students' learning outcomes, the system first verifies the identity of logged-in users and configures corresponding research and study tasks and permissions based on their identities. This avoids the homogenization of tasks and permissions, allowing each user to conduct research and study activities suitable for themselves, thus improving the relevance and effectiveness of research and study. Then, by analyzing the permission exercise data generated when logged-in users perform research and study tasks, and combining this with their research and study permissions, a research and study profile is constructed for each user. This not only records the user's task execution but also links it to their actions within their authorized scope. The operational information within the platform makes the archives richer and more comprehensive, providing a reliable basis for subsequent analysis of researchers' research performance, interests, and strengths. Then, to ensure that every student completes their research tasks, their research access path on the platform is mapped to display their research achievements, which enhances researchers' sense of accomplishment and motivates them to continue their research. Finally, to encourage students to develop a healthy competitive spirit, students and classes with good research results are displayed on the homepage of the platform. On the other hand, this also provides direction for optimizing the platform's functions and improving its content, thereby enhancing the overall service quality of the platform.

[0144] Example 9:

[0145] This embodiment provides a specialized management system for an educational research platform, such as... Figure 2 As shown, it includes:

[0146] The study preparation module is used to verify the identity of each logged-in user and issue corresponding study tasks and permissions to each logged-in user based on the user's identity.

[0147] The data analysis module is used to obtain the permission exercise data generated by each logged-in user when performing the study tour task, and to construct the study tour file of each logged-in user in combination with the corresponding study tour permissions;

[0148] The study tour supervision module is used to construct the study tour access path of the logged-in personnel in the study tour platform according to the permission exercise data, obtain the study tour results of each logged-in personnel and transmit them to the corresponding login page for display;

[0149] The results promotion module is used to analyze the research reports of all logged-in users in different disciplines based on the research archives and the results of this research trip, and then transmit them to the platform homepage for display.

[0150] Example 10

[0151] Based on Example 9, the specialized management system for the educational research and study platform, wherein the research and study preparation module includes:

[0152] The content specification unit is used to set corresponding identity login information for each logged-in person according to the class to which each logged-in person belongs, and to set corresponding study tour content for each logged-in person according to the study tour progress of each class.

[0153] An identity verification unit is used to search for the unique characteristics of the target class to which the logged-in person belongs in the study platform when the logged-in person logs in using the identity login information, generate an identity verification method based on the unique characteristics of the class, and verify the identity of the logged-in person.

[0154] The task setting unit is used to determine the identity of the logged-in person in the class when the logged-in person passes the identity verification, and to obtain the content of the logged-in person's previous study tour, and to construct the study tour task of the logged-in person in combination with the content of the current study tour;

[0155] The permission setting unit is used to find the task execution requirements corresponding to each study tour task in the study tour platform, construct several study tour access locations of the logged-in personnel in the study tour platform according to the task execution requirements, and the access operation corresponding to each study tour access location, and determine the study tour permissions corresponding to each logged-in personnel.

[0156] In this example, the login information represents the account and password used by the user when logging into the study tour platform;

[0157] In this example, class-specific features are used to distinguish different classes, such as class number;

[0158] In this example, the authentication method refers to the process of determining whether the identity of the currently logged-in person matches the identity of the person who logged in by asking questions. For example, asking for the names of classmates, the class schedule, the class's unique code, or the teacher's surname, etc.

[0159] In this example, the task execution requirements represent the content that needs to be performed to complete a study tour task. For example, completing a study tour task requires watching relevant videos, performing online operations, and answering questions after class.

[0160] In this example, the study tour access location refers to the location where a logged-in user performs different operations on the study tour platform, and the access operation refers to the operation performed by the logged-in user at a study tour access location.

[0161] The working principle and beneficial effects of the above technical solution are as follows: To ensure that students personally complete the entire study tour and avoid substitution by others, the system first sets the identities of login personnel according to class at the initial stage of the study tour. Based on the class's study tour progress, it sets corresponding study tour content for each student, reducing the probability of differences in study tour effectiveness due to individual progress discrepancies. Then, a simple identity verification process is performed on login personnel to effectively prevent unauthorized logins by non-class members, which could affect students' learning outcomes and grades. Next, based on each student's previous study tour content, corresponding study tour tasks are assigned. Within the study tour platform, the student's study tour access location and corresponding access operations are determined according to the task execution requirements of each study tour task, thus defining their appropriate study tour permissions. This prevents students from becoming distracted due to excessive permissions or hindering task completion due to insufficient permissions, thereby improving focus and efficiency during the study tour process.

[0162] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A special management method for an educational research platform, characterized in that, The method comprises the following steps: Step 1: checking the personnel identity of each registered user, respectively, and issuing corresponding research tasks and research permissions to each registered user according to the personnel identity; Step 2: obtaining the permission exercise data generated by each registered user when performing the research task, and constructing the research archives of each registered user in combination with the corresponding research permissions; Step 3: constructing the research access path of the registered user in the research platform according to the permission exercise data, obtaining the research results of each registered user this time, and transmitting them to the corresponding login page for display; Step 4: analyzing the research reports of all registered users under different disciplines according to the research archives and the research results this time, and transmitting them to the platform homepage for display; The step 2 comprises: Step 21: setting the permission execution range for the corresponding registered user according to the research permissions, constructing the research knowledge graph of the registered user in combination with the research task and the historical research process of the registered user, and deducing the research preference characteristics of the registered user; Step 22: constructing the relevant knowledge structure when the registered user completes the research task according to the research knowledge graph, constructing the interest preference when the registered user completes the research task according to the research preference characteristics, adjusting the relevant knowledge structure by using the interest preference, and generating the personalized research path of the registered user; Step 23: obtaining the activity data of the registered user in the research platform, screening the target activity data consistent with the personalized research path and performing time sorting, and obtaining the permission exercise data generated by the registered user when performing the research task; Step 24: mapping the permission exercise data in the personalized research path, generating several research operations of the registered user, performing compliance analysis on the research operations according to the corresponding research permissions, screening several effective operations in accordance with the research permissions according to the analysis result, and constructing the research archives of the registered user; The step 3 comprises: Step 31: obtaining the permission execution range corresponding to each research permission, respectively, performing text analysis on each permission exercise data to obtain corresponding core information, respectively, mapping the core information of each registered user into the corresponding permission execution range, and generating the dynamic trajectory of the registered user in the permission execution range; Step 32: performing unsupervised learning training on the dynamic trajectory, obtaining the corresponding reduced exercise data and several trajectory clustering groups of each registered user, identifying several trajectory key information of the corresponding registered user in the reduced exercise data, setting information weight for each trajectory key information, respectively, identifying the trajectory clustering group corresponding to each trajectory key information, and setting the corresponding group weight for each trajectory clustering group. Step 33: According to the information weight and group weight corresponding to each trajectory key information, the key of each trajectory position in the dynamic trajectory is marked, and the redundant trajectory position with a weight value less than a preset weight value is removed according to the marking result, to obtain the research and visit path corresponding to each registered person; Step 34: According to the research and visit path, the research result of the corresponding registered person is derived, and it is judged whether each research and visit path covers the corresponding research task, and the research result report of the registered person is generated and displayed.

2. The method of claim 1, wherein the education research platform is a platform for a special management method for education research, characterized in that, The step 1 comprises: Step 11: According to the corresponding class of each registered person, the corresponding identity login information of each registered person is set, and the corresponding research content of this time is set for each registered person according to the class research progress corresponding to each class; Step 12: When the registered person logs in by using the identity login information, the class unique feature of the target class corresponding to the registered person is found in the research platform, the identity authentication mode is generated according to the class unique feature, and the identity authentication of the registered person is carried out; Step 13: When the registered person passes the identity authentication, the personnel identity of the registered person in the class is determined, the last research content of the registered person is obtained, and the research task of the registered person is constructed by combining the research content of this time; Step 14: The task execution demand corresponding to each research task is found in the research platform, the research access position of the registered person in the research platform and the access operation corresponding to each research access position are constructed according to the task execution demand, and the research right corresponding to each registered person is determined.

3. The method of claim 2, wherein the education research platform is a platform for a special management method for education research, characterized in that, Also includes: When the registered person fails to pass the identity authentication, the registered person is reminded that the research operation of this time is invalid; At the same time, the estimated personnel identity of the registered person is identified, the corresponding research interesting knowledge is constructed for the registered person according to the display content of the login page, and the corresponding research interesting knowledge is displayed.

4. The method of claim 1, wherein the education research platform is a platform for a special management method for education research, characterized in that, Also includes: When the research and visit path covers less than 90% of the corresponding research task, the corresponding registered person is limited to exit the research and learning, and the corresponding registered person is guided to continue to execute the research task.

5. The method of claim 1, wherein the education research platform is a platform for a special management method for education research, characterized in that, The step 4 comprises: Step 41: The registered person is classified in units of classes, the research archives and the research result of this time of each class are counted, and the research subject of this time is determined according to the research task; Step 42: According to the research subject of this time, the research archives and the research result of this time of the corresponding class are summarized, the research effect score of the class is calculated, and the research report corresponding to each class is obtained; Step 43: According to the research subject of this time, the research report is updated to the corresponding historical subject information, and is transmitted to the platform home page for display.

6. The method of claim 1, wherein the education research platform is a platform for a special management method for education research, characterized in that, Also includes: According to the research archives and the research result of this time, the next research knowledge list of the corresponding registered person is set.

7. A special management system for an educational research platform, characterized in that, It includes: The research preparation module is configured to check the personnel identity of each login user, and issue corresponding research tasks and research permissions to each login user according to the personnel identity; The data analysis module is configured to obtain permission execution data generated by each login user when performing the research task, and construct a research archive of each login user in combination with the corresponding research permission; The research supervision module is configured to construct a research access path of the login user in the research platform according to the permission execution data, obtain the research result of each login user, and transmit the research result to the corresponding login page for display; The achievement publicity module is configured to analyze research reports of all login users in different disciplines according to the research archive and the research result, and transmit the research reports to the platform homepage for display; The process of obtaining the permission execution data generated by each login user when performing the research task, and constructing the research archive of each login user in combination with the corresponding research permission, includes: setting a permission execution range for the corresponding login user according to the research permission, constructing a research knowledge graph of the login user in combination with the research task and the historical research process of the login user, and deducing a research preference feature of the login user; constructing a related knowledge structure when the login user completes the research task according to the research knowledge graph, constructing an interest preference when the login user completes the research task according to the research preference feature, adjusting the related knowledge structure by using the interest preference, and generating a personalized research path of the login user; obtaining activity data of the login user in the research platform, screening target activity data consistent with the personalized research path and performing time sorting, and obtaining the permission execution data generated by the login user when performing the research task; mapping the permission execution data in the personalized research path, generating a plurality of research operations of the login user, performing compliance analysis on the research operations according to the corresponding research permission, screening a plurality of effective operations consistent with the research permission according to the analysis result, and constructing the research archive of the login user; The process of constructing a research access path of the login user in the research platform according to the permission execution data, obtaining the research result of each login user, and transmitting the research result to the corresponding login page for display, includes: obtaining a permission execution range corresponding to each research permission, performing text analysis on each permission execution data to obtain corresponding core information, and mapping the core information of each login user into the corresponding permission execution range to generate a dynamic track of the login user in the permission execution range. The dynamic trajectory is subjected to unsupervised learning training to obtain dimension reduction exercise data corresponding to each of the logged-in personnel and a plurality of trajectory clustering groups. A plurality of trajectory key information corresponding to the logged-in personnel is identified in the dimension reduction exercise data. An information weight is set for each of the trajectory key information. A trajectory clustering group corresponding to each of the trajectory key information is identified. A group weight corresponding to each of the trajectory clustering groups is set. Each trajectory position in the dynamic trajectory is highlighted according to the information weight and the group weight corresponding to each of the trajectory key information. Redundant trajectory positions with a weight value less than a preset weight value are removed according to the highlighting result to obtain a research visit path corresponding to each of the logged-in personnel. The research visit path is used to derive research results of the logged-in personnel. It is determined whether each of the research visit paths covers the corresponding research task. A research result report of the logged-in personnel is generated and displayed.

8. The system as claimed in claim 7, wherein, The research preparation module comprises: A content specification unit is configured to set identity login information for each of the logged-in personnel according to a corresponding class of each of the logged-in personnel. A current research content is set for each of the logged-in personnel according to a class research progress of each of the classes. An identity verification unit is configured to find a class unique feature of a target class of the logged-in personnel in the research platform when the logged-in personnel logs in by using the identity login information. An identity verification mode is generated according to the class unique feature. The identity of the logged-in personnel is verified. A task setting unit is configured to determine a personnel identity of the logged-in personnel in the class when the logged-in personnel passes the identity verification. A last research content of the logged-in personnel is obtained. The research task of the logged-in personnel is constructed in combination with the current research content. A permission setting unit is configured to find a task execution requirement corresponding to each of the research tasks in the research platform. A plurality of research access positions of the logged-in personnel in the research platform and an access operation corresponding to each of the research access positions are constructed according to the task execution requirement. The research permission of each of the logged-in personnel is determined.

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