Quality-oriented education course resource management method and system

Abstract

The application discloses a quality education course resource management method and system, and relates to the technical field of intelligent management, which comprises the following steps: collecting preset quality education course information through a data collection module, and performing matching degree calculation on the quality education course information and quality education target data to determine a course teacher-student correspondence relationship and a matching value; acquiring student record information sources by using a data output module; acquiring student continuous record information sources and course teacher-student tracking records by using a data input module; constructing a course determination module to perform student determination evaluation and teacher determination evaluation, and performing quality education course adjustment management according to the determination evaluation results. The application solves the technical problem of low teaching ability and poor teaching results caused by low flexibility of quality education course management in the prior art, and achieves the technical effects of optimizing quality education teaching ability and improving teaching quality through course content evaluation and flexible course adjustment management.

Description

Technical Field

[0001] This invention relates to the field of intelligent management technology, specifically to a method and system for managing resources for quality education courses. Background Technology

[0002] Traditional holistic education is conducted through offline courses set up by schools, with schools hiring teachers with corresponding teaching abilities to complete fixed courses. The teaching methods are relatively rigid, and students may not be able to provide genuine feedback on the course content, resulting in low adaptability of the courses. Furthermore, due to the lack of flexibility in the allocation of teachers in schools, the schools' capacity for holistic education is low, and the teaching results are poor. Summary of the Invention

[0003] This application provides a method and system for managing resources for quality education courses, which addresses the technical problems in the prior art where low flexibility in the management of quality education courses leads to low teaching ability and poor teaching outcomes.

[0004] The first aspect of this application provides a method for managing resources for quality education courses. The method includes: collecting pre-set quality education course information based on educational teacher objectives through a data acquisition module; obtaining quality education objective data, calculating the matching degree between the quality education objective data and the pre-set quality education course information, and determining the course-teacher correspondence and matching value; using a data output module to record the learning of students participating in the quality education courses and obtaining student record information sources; connecting the data output module through a data input module to obtain continuous student record information sources, and tracking and recording course teachers based on the course-teacher correspondence and matching value; constructing a course judgment module, wherein the course judgment module includes a student learning judgment sub-module and a teacher judgment sub-module, the course judgment module being connected to the data input module, and inputting the continuous student record information sources and course teacher tracking records into the student learning judgment sub-module and teacher judgment sub-module respectively for judgment, determining the judgment evaluation result; and managing adjustments to the quality education courses based on the judgment evaluation result.

[0005] A second aspect of this application provides a quality education curriculum resource management system, the system comprising: a preset quality education curriculum information collection module, which is used to collect preset quality education curriculum information based on educational teacher objectives through a data collection module; a curriculum teacher correspondence determination module, which is used to obtain quality education objective data, calculate the matching degree between the quality education objective data and the preset quality education curriculum information, and determine the curriculum teacher correspondence and matching value; a student record information source acquisition module, which is used to use a data output module to record the learning of students participating in the quality education courses and acquire student record information sources; and a curriculum teacher tracking and recording module. The course instructor tracking and recording module is used to connect to the data output module through the data input module to obtain continuous student record information sources and track and record course instructors based on course instructor correspondence and matching values; the judgment and evaluation result determination module is used to construct a course judgment module, which includes a student learning judgment sub-module and an instructor judgment sub-module. The course judgment module is connected to the data input module and inputs the continuous student record information sources and course instructor tracking records into the student learning judgment sub-module and the instructor judgment sub-module respectively for judgment to determine the judgment and evaluation result; the course adjustment management module is used to manage the adjustment of quality education courses based on the judgment and evaluation results.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0007] This application provides a method for managing quality education curriculum resources, relating to the field of intelligent management technology. It collects pre-set quality education curriculum information and calculates its matching degree with quality education target data to determine the correspondence and matching value between the curriculum and teachers. A data output module acquires student record information sources; a data input module acquires continuous student record information sources and curriculum and teacher tracking records; and a curriculum judgment module performs student and teacher evaluations. Based on the evaluation results, the method adjusts and manages the quality education curriculum. This solves the technical problem in existing technologies where low flexibility in quality education curriculum management leads to low teaching ability and poor teaching outcomes. It achieves the technical effect of optimizing quality education teaching ability and improving teaching quality through curriculum content evaluation and flexible curriculum adjustment management. Attached Figure Description

[0008] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0009] Figure 1 A flowchart illustrating a method for managing curriculum resources for quality education, provided as an embodiment of this application;

[0010] Figure 2 A flowchart illustrating the matching degree calculation based on the quality education target data and the preset quality education course information in a quality education course resource management method provided in this application embodiment;

[0011] Figure 3 This is a flowchart illustrating the process of inputting continuously recorded student information into the student learning judgment submodule for judgment and determining the judgment evaluation result in a quality education curriculum resource management method provided in this application embodiment.

[0012] Figure 4 This is a schematic diagram of the structure of a quality education curriculum resource management system provided in an embodiment of this application.

[0013] Explanation of the attached diagram labels: Module 11 for collecting information on pre-set quality education courses, Module 12 for determining the correspondence between courses and teachers, Module 13 for obtaining student record information sources, Module 14 for tracking and recording courses and teachers, Module 15 for determining evaluation results, and Module 16 for course adjustment and management. Detailed Implementation

[0014] This application provides a method for managing resources for quality education courses, which addresses the technical problem in the prior art where the low flexibility of quality education course management leads to low teaching ability and poor teaching outcomes.

[0015] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0016] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or server that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules not explicitly listed or inherent to such processes, methods, products, or devices.

[0017] Example 1

[0018] like Figure 1 As shown, this application provides a method for managing curriculum resources for quality education, the method comprising:

[0019] P10: Collect pre-set quality education curriculum information for educational teacher training objectives through the data acquisition module;

[0020] Optionally, the data acquisition module collects pre-set quality education curriculum information for educational teacher objectives. The educational teacher objectives include teachers within the school and external institutions. The pre-set quality education curriculum information includes the types of courses that teachers within the school and external institutions are good at in moral, intellectual, physical, aesthetic and labor education, the quality education direction targeted by each course, and the teaching qualification information of teachers within the school and external institutions.

[0021] P20: Obtain quality education target data, calculate the matching degree between the quality education target data and the preset quality education course information, and determine the course teacher correspondence and matching value;

[0022] Furthermore, such as Figure 2 As shown, step P20 in this embodiment further includes:

[0023] P21: Based on the aforementioned quality education target data, determine the target evaluation parameters;

[0024] P22: Using the target evaluation parameters as cluster centers, calculate the Euclidean distance of the preset quality education course information to determine the Euclidean distance of each quality education course information;

[0025] P23: Cluster the data by Euclidean distance of each quality education course information, and calculate the matching degree of each target evaluation parameter based on the clustering results.

[0026] It should be understood that acquiring quality education target data includes educational outcome targets in terms of ideological and moral quality, ability cultivation, personality development, physical health, and mental health education. Based on the quality education target data, target evaluation parameters are determined, such as student physical health assessment index, mental health index, ideological and moral level, and self-learning ability test level. Using the target evaluation parameters as cluster centers, Euclidean distance is calculated for the preset quality education course information. Euclidean distance is a distance definition that can represent the real distance between two points in m-dimensional space. This application uses a calculation formula to calculate the Euclidean distance between each target evaluation parameter in each quality education course information and the quality education target data, and performs clustering based on the Euclidean distance of each quality education course information to obtain multiple sets of course information with a high degree of matching with the quality education target, i.e., clustering results. Based on the distance between each target evaluation parameter of each quality education course in the clustering results and the quality education target, the matching degree of each evaluation participant is calculated to determine the matching value of each quality education course and teacher with the teaching target, which serves as a reference for subsequent course selection.

[0027] Furthermore, step P23 in this embodiment of the application also includes:

[0028] P23-1: Set a clustering Euclidean distance threshold, perform clustering based on the clustering Euclidean distance threshold, and obtain the first clustering result;

[0029] P23-2: Based on the first clustering result, obtain information on deviations from quality education courses, wherein the information on deviations from quality education courses is unclustered information;

[0030] P23-3: Based on the first clustering results and the information on deviations from the quality education curriculum, set a threshold tolerance value;

[0031] P23-4: The clustering Euclidean distance threshold is adjusted using the threshold tolerance value, and clustering is performed using the adjusted clustering Euclidean distance threshold to obtain the second clustering result;

[0032] P23-5: Set the weight coefficients of the first clustering result and the second clustering result respectively to obtain the clustering result.

[0033] For example, based on the educational outcome requirements, a clustering Euclidean distance threshold (i.e., the maximum Euclidean distance) is set between each target evaluation parameter and the quality education target data. Clustering is performed based on this threshold, placing quality education course information with Euclidean distances less than the threshold into the same cluster, resulting in a first clustering result—a set of courses with a high degree of matching with the quality education goals. Based on this first clustering result, information deviating from quality education courses—that is, quality education courses that are too far from the quality education target data—is obtained; these are unclustered information. Further, a threshold tolerance value is set based on the first clustering result and the number and proportion of courses included in each of the deviating quality education course information.

[0034] Furthermore, the Euclidean distance threshold for clustering is adjusted using the threshold tolerance value, that is, the Euclidean distance threshold for clustering is increased, and a second clustering is performed using the adjusted Euclidean distance threshold to obtain a second clustering result containing more information about quality education courses. Based on the matching degree between the included course information and the teaching objectives, the weight coefficients of the first clustering result and the second clustering result are set respectively, and the first clustering result and the second clustering result are combined to form the clustering result.

[0035] P30: Use the data output module to record the learning of students participating in the quality courses and obtain the source of student record information;

[0036] Optionally, when students select quality education courses through the system, the data output module can be used to record the learning of students participating in quality education courses, including records of course type selection, learning duration, number of class hours, and learning feedback. This can obtain student record information sources, reflecting students' learning interests and popular courses.

[0037] P40: Connect the data output module through the data input module to obtain the continuous student record information source, and track and record the course teachers based on the course teacher correspondence and matching value;

[0038] Specifically, the data input module is connected to the data output module and continuously receives student record information from the data output module to form a continuous student record information source, which is student learning information record data over a period of time, including student course selection types and learning durations at multiple time points. Based on the correspondence between each course and the teachers, and the correspondence between the courses and the teaching objectives, the teachers of each course are tracked and recorded, that is, the teacher information of each course at various time points is recorded, such as information of teachers within the school or information of external teaching institutions.

[0039] Furthermore, step P40 in this embodiment of the application also includes:

[0040] P41: Establish an evaluation module, which sends participation permissions to the students participating in the quality education course and their parents;

[0041] P42: Extract the evaluation information of each quality course, cluster the evaluation information, and calculate the weight of each cluster result;

[0042] P43: Based on the clustering results and weights, a weighted average is performed to obtain teacher evaluation data;

[0043] P44: Establish the connection between the evaluation module and the data input module, and add the teacher evaluation data to the course faculty tracking record.

[0044] Specifically, an evaluation module is established to evaluate course quality. This module grants participation permissions to students and their parents involved in the enrichment courses. Students and parents can then evaluate the courses they have taken, such as evaluating teaching objectives, content, engagement, and outcomes. This generates evaluation information for each enrichment course. Evaluation information for each course over a past period (e.g., three months, six months, etc., adjusted according to actual circumstances) is extracted and clustered according to evaluation type. Multiple clustering results are obtained, and the weights of each clustering result are calculated based on the importance of the evaluation type. A weighted average of these clustering results is then calculated to obtain teacher evaluation data for each course. Furthermore, a connection is established between the evaluation module and the data input module, and the teacher evaluation data is added to the course instructor tracking record for reference in instructor replacement.

[0045] Furthermore, the embodiments of this application also include step P50a, which further includes:

[0046] P51a: Construct a recording module, which includes a teacher record database and a student record database;

[0047] P52a: Connect the recording module to the data input module, extract the student continuous record information source and course teacher tracking record from the data input module, match the teacher sequence and student sequence with the teacher record database and student record database respectively, and store them in the teacher record database and student record database to construct the continuous record set of each teacher and each student.

[0048] In one possible embodiment of this application, before judging teaching outcomes using the continuously recorded student information sources and course instructor tracking records, a recording module is first constructed to continuously record course information and instructors from the data input module, continuously record student learning from the data output module, and continuously record the content from the evaluation module. The recording module includes an instructor record library and a student record library. The recording module is connected to the data input module to extract the continuously recorded student information sources and course instructor tracking records from the data input module. These are then input into the instructor record library and student record library respectively for teacher and student sequence matching, i.e., matching corresponding student and instructor information. The data is then stored in the instructor record library and student record library according to the corresponding data sequence, forming a continuous record set for each teacher and student.

[0049] P50: Construct a course assessment module, which includes a student learning assessment submodule and a teacher assessment submodule. The course assessment module is connected to the data input module. The student continuous record information source and the course teacher tracking record are respectively entered into the student learning assessment submodule and the teacher assessment submodule for assessment to determine the assessment result.

[0050] Furthermore, such as Figure 3 As shown, step P50 in this embodiment further includes:

[0051] P51: Extract the continuously recorded information source of the students according to the preset quantity-time requirements;

[0052] P52: Based on the information sources continuously recorded by the students, construct the time-series evaluation chain for each student based on the time sequence;

[0053] P53: Determine the learning evaluation results for each student based on their time-series evaluation chain;

[0054] P54: Filter the student learning evaluation results that meet the requirements, extract the probability of influence in the course, and use it as the student's evaluation result.

[0055] Optionally, a course assessment module is constructed, which includes a student learning assessment submodule and a teacher assessment submodule. The student learning assessment submodule is used to evaluate students' learning outcomes, and the teacher assessment submodule is used to evaluate the teaching quality of teachers. The course assessment module is connected to the data input module and can receive continuous student record information and course teacher tracking records from the data input module.

[0056] Furthermore, according to preset quantity-time requirements, a corresponding number and time period of the student's continuous record information sources are extracted and input into the student learning judgment submodule. The quantity-time requirements refer to the number of students and the time period requirements. Further, based on the student's continuous record information sources, a temporal evaluation chain is constructed for each student, which is a Markov chain containing multiple student learning records. The Markov chain is a stochastic model describing a series of possible events, where the probability of each event depends only on the state reached in the previous event.

[0057] Furthermore, based on each student's time-series evaluation chain, learning outcomes are evaluated to determine each student's learning evaluation result. This means identifying the learning outcomes each student achieved through the holistic education course at each corresponding time point, selecting students whose learning outcomes meet the requirements, and extracting the probability of influence on the course participation—that is, the incentive value of the holistic education course for students with good learning outcomes—as the student's evaluation result. Similarly, a teacher evaluation submodule is used to determine the teacher evaluation result. The combined student and teacher evaluation results constitute the final evaluation result, which reflects the improvement in both student learning outcomes and teacher quality.

[0058] P60: Adjust and manage the quality education curriculum based on the aforementioned judgment and evaluation results.

[0059] Specifically, based on the student evaluation results, student learning feedback is obtained, and subjects that students are interested in and highly adaptable teaching methods are selected for curriculum adjustments to improve student learning motivation and outcomes. Through the teacher evaluation results, high-quality teachers and teaching institutions are selected, while those with poor teaching quality are eliminated. Teachers are flexibly allocated to various courses, assigning teachers or external institutions with higher matching levels and teaching standards. This allows for flexible curriculum adjustments based on feedback, thereby enhancing the school's capacity for quality education.

[0060] Furthermore, the embodiments of this application also include step P70, which further includes:

[0061] P71: Construct a regulatory module, which includes an effectiveness verification module and a compliance verification module;

[0062] P72: Connect the regulatory module to the data acquisition module and the data input module respectively, and verify the acquired data and input data through the validity verification module and the compliance verification module respectively.

[0063] It should be understood that a monitoring module is constructed to ensure the security of collected and input data, preventing malicious evaluations, scores, and prolonged login sessions from affecting the accuracy of the collected data and consequently the accuracy of course assessment results. The monitoring module includes a validity verification module and a compliance verification module, which are connected to the data collection module and the data input module, respectively. The validity verification module verifies the validity of the collected data from the data collection module, including verifying the professional qualifications of teachers, and filtering out valid pre-set quality education course information. The compliance verification module verifies the compliance of the input data from the data input module, including user permission identification and routine learning operation identification, and filtering out compliant student learning records, thereby ensuring the accuracy of teacher data and the authenticity of student learning data.

[0064] In summary, the embodiments of this application have at least the following technical effects:

[0065] This application determines the correspondence and matching value between courses and teachers by collecting pre-set quality education course information and calculating the matching degree with quality education target data; it obtains student record information sources through the data output module; it obtains continuous student record information sources and course teacher tracking records through the data input module; it conducts student and teacher assessment evaluations through the course assessment module; and it manages and adjusts quality education courses based on the assessment results.

[0066] It has achieved the technical effect of optimizing the teaching ability of quality education and improving teaching quality through course content evaluation and flexible course adjustment management.

[0067] Example 2

[0068] Based on the same inventive concept as the quality education curriculum resource management method in the foregoing embodiments, such as Figure 4 As shown, this application provides a quality education curriculum resource management system. The system and method embodiments in this application are based on the same inventive concept. The system includes:

[0069] A preset quality education curriculum information collection module 11 is used to collect preset quality education curriculum information of educational teacher objectives through a data collection module.

[0070] The course teacher correspondence determination module 12 is used to obtain quality education target data, calculate the matching degree between the quality education target data and the preset quality education course information, and determine the course teacher correspondence and matching value.

[0071] Student record information source acquisition module 13 is used to use the data output module to record the learning of students participating in the quality course and acquire student record information sources.

[0072] Course instructor tracking and recording module 14 is used to connect to the data output module through the data input module to obtain the continuous student record information source, and to track and record the course instructors based on the course instructor correspondence and matching value.

[0073] The evaluation result determination module 15 is used to construct a course evaluation module, which includes a student learning evaluation sub-module and a teacher evaluation sub-module. The course evaluation module is connected to the data input module and inputs the student continuous record information source and the course teacher tracking record into the student learning evaluation sub-module and the teacher evaluation sub-module respectively for evaluation to determine the evaluation result.

[0074] The course adjustment management module 16 is used to manage the adjustment of quality education courses based on the judgment and evaluation results.

[0075] Furthermore, the course instructor correspondence determination module 12 is also used to perform the following steps:

[0076] Based on the aforementioned quality education target data, determine the target evaluation parameters;

[0077] P22: Using the target evaluation parameters as cluster centers, calculate the Euclidean distance of the preset quality education course information to determine the Euclidean distance of each quality education course information;

[0078] P23: Cluster the data by Euclidean distance of each quality education course information, and calculate the matching degree of each target evaluation parameter based on the clustering results.

[0079] Furthermore, the course instructor correspondence determination module 12 is also used to perform the following steps:

[0080] Set a clustering Euclidean distance threshold, and perform clustering based on the clustering Euclidean distance threshold to obtain the first clustering result;

[0081] P23-2: Based on the first clustering result, obtain information on deviations from quality education courses, wherein the information on deviations from quality education courses is unclustered information;

[0082] P23-3: Based on the first clustering results and the information on deviations from the quality education curriculum, set a threshold tolerance value;

[0083] P23-4: The clustering Euclidean distance threshold is adjusted using the threshold tolerance value, and clustering is performed using the adjusted clustering Euclidean distance threshold to obtain the second clustering result;

[0084] P23-5: Set the weight coefficients of the first clustering result and the second clustering result respectively to obtain the clustering result.

[0085] Furthermore, the course instructor tracking and recording module 14 is also used to perform the following steps:

[0086] An evaluation module is established, which sends participation permissions to students participating in the quality education course and their parents.

[0087] P42: Extract the evaluation information of each quality course, cluster the evaluation information, and calculate the weight of each cluster result;

[0088] P43: Based on the clustering results and weights, a weighted average is performed to obtain teacher evaluation data;

[0089] P44: Establish the connection between the evaluation module and the data input module, and add the teacher evaluation data to the course faculty tracking record.

[0090] Furthermore, the determination module 15 for judging and evaluating results is also used to perform the following steps:

[0091] Extract the continuously recorded information sources of the students according to the preset quantity and time requirements;

[0092] P52: Based on the information sources continuously recorded by the students, construct the time-series evaluation chain for each student based on the time sequence;

[0093] P53: Determine the learning evaluation results for each student based on their time-series evaluation chain;

[0094] P54: Filter the student learning evaluation results that meet the requirements, extract the probability of influence in the course, and use it as the student's evaluation result.

[0095] Furthermore, the system also includes:

[0096] The recording module includes a teacher record database and a student record database.

[0097] A continuous record set construction module is used to connect the recording module and the data input module, extract student continuous record information sources and course teacher tracking records from the data input module, match them with the teacher record database and student record database respectively to perform teacher sequence and student sequence matching, and store them in the teacher record database and student record database to construct a continuous record set for each teacher and each student.

[0098] Furthermore, the system also includes:

[0099] The regulatory module includes an effectiveness verification module and a compliance verification module.

[0100] The data verification module connects the regulatory module to the data acquisition module and the data input module, respectively, and verifies the acquired data and input data through the validity verification module and the compliance verification module, respectively.

[0101] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, specific embodiments have been described above. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims can be performed in a different order than that shown in the embodiments and still achieve the desired result. Additionally, the processes depicted in the drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0102] The above description is only a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

[0103] This specification and accompanying drawings are merely illustrative examples of this application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from its scope. Therefore, if such modifications and modifications fall within the scope of this application and its equivalents, this application intends to include such modifications and modifications.

Claims

1. A method for managing curriculum resources for quality education, characterized in that, include: The data acquisition module collects pre-set quality education curriculum information based on the educational and teaching objectives; Acquire quality education target data, calculate the matching degree between the quality education target data and the preset quality education course information, and determine the course teacher correspondence relationship and matching value; The data output module is used to record the learning of students participating in the quality courses and obtain the source of student record information. The data input module is connected to the data output module to obtain the continuous student record information source, and the course teachers are tracked and recorded based on the course teacher correspondence and matching value; A course assessment module is constructed, which includes a student learning assessment submodule and a teacher assessment submodule. The course assessment module is connected to the data input module. The student continuous record information source and the course teacher tracking record are respectively entered into the student learning assessment submodule and the teacher assessment submodule for assessment to determine the assessment result. The quality education curriculum will be adjusted and managed based on the aforementioned evaluation results. The matching degree calculation based on the quality education target data and the preset quality education curriculum information includes: Based on the aforementioned quality education target data, determine the target evaluation parameters; Using the target evaluation parameters as cluster centers, Euclidean distance is calculated for the preset quality education course information to determine the Euclidean distance of each quality education course information. Clustering is performed based on the Euclidean distance of each quality education course information, and the matching degree of each target evaluation parameter is calculated based on the clustering results. The clustering of cluster centers based on the Euclidean distance of each quality education course information includes: Set a clustering Euclidean distance threshold, and perform clustering based on the clustering Euclidean distance threshold to obtain the first clustering result; Based on the first clustering result, information on deviations from quality education courses is obtained, wherein the information on deviations from quality education courses is unclustered information. Based on the first clustering result and the information on deviations from the quality education curriculum, a threshold tolerance value is set. The clustering Euclidean distance threshold is adjusted using the threshold tolerance value, and clustering is performed using the adjusted clustering Euclidean distance threshold to obtain a second clustering result; The weight coefficients of the first clustering result and the second clustering result are set respectively to obtain the clustering result.

2. The method as described in claim 1, characterized in that, The course determination module is connected to the data input module, and previously included: A recording module is constructed, which includes a teacher record database and a student record database; The recording module is connected to the data input module. Student continuous record information sources and course teacher tracking records are extracted from the data input module. Teacher sequences and student sequences are matched with the teacher record database and student record database respectively, and stored in the teacher record database and student record database to construct a continuous record set for each teacher and each student.

3. The method as described in claim 1, characterized in that, Also includes: An evaluation module is established, which sends participation permissions to students participating in the quality education course and their parents. Extract evaluation information from each quality course, cluster the evaluation information, and calculate the weight of each cluster result; Teacher evaluation data is obtained by performing a weighted average based on the clustering results and weights. Establish a connection between the evaluation module and the data input module, and add the teacher evaluation data to the course faculty tracking record.

4. The method as described in claim 1, characterized in that, The student's continuously recorded information is entered into the student learning assessment submodule for assessment, and the assessment result is determined, including: Extract the continuously recorded information sources of the students according to the preset quantity and time requirements; Based on the information sources continuously recorded by the students, a time-series evaluation chain is constructed for each student based on the time sequence. The learning evaluation results for each student are determined based on their time-series evaluation chain. The student learning evaluation results that meet the requirements are selected, and the probability of influence in the course is extracted as the student's evaluation result.

5. The method as described in claim 1, characterized in that, Also includes: A regulatory module is constructed, which includes an effectiveness verification module and a compliance verification module; The monitoring module is connected to the data acquisition module and the data input module respectively, and the collected data and input data are verified by the validity verification module and the compliance verification module respectively.

6. A quality education curriculum resource management system, characterized in that, The system is used to perform the method according to any one of claims 1 to 5, the system comprising: A pre-set quality education curriculum information collection module is used to collect pre-set quality education curriculum information for educational teacher objectives through a data collection module; The course teacher-student correspondence determination module is used to acquire quality education target data, calculate the matching degree between the quality education target data and the preset quality education course information, and determine the course teacher-student correspondence and matching value. The student record information source acquisition module is used to acquire student record information sources by utilizing the data output module to record the learning of students participating in the quality courses. The course instructor tracking and recording module is used to connect to the data output module through the data input module to obtain the continuous student record information source, and to track and record the course instructors based on the course instructor correspondence and matching value. The evaluation result determination module is used to construct a course evaluation module, which includes a student learning evaluation sub-module and a teacher evaluation sub-module. The course evaluation module is connected to the data input module and inputs the student continuous record information source and the course teacher tracking record into the student learning evaluation sub-module and the teacher evaluation sub-module respectively for evaluation to determine the evaluation result. The course adjustment management module is used to manage the adjustment of quality education courses based on the judgment and evaluation results.

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