Dynamic tracking and feedback optimization system for college counselor childbearing work

Abstract

The invention relates to the technical field of college counselor childbearing work, and discloses a college counselor childbearing work dynamic tracking and feedback optimization system, which comprises a data acquisition module, a data processing and analysis module, a feedback and optimization module and a function module, the data acquisition module acquires data of student life and counselor work through an educational administration system, a questionnaire, a campus behavior monitoring system and a counselor mobile application, and then transmits the data to the data processing and analysis module, and the data processing and analysis module cleans and integrates the acquired multi-source data, and sends the data to the data processing and analysis module. And obtaining a result by using correlation analysis, clustering analysis and a prediction model. According to the invention, an educational administration system, a questionnaire and a campus behavior monitoring system are utilized through the data acquisition module, so that the problem that the individualized requirements of students are difficult to meet by the educational administration work due to numerous students and different physical and psychological and learning conditions of the students in the existing counselor work is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of university counselors' educational work, and in particular to a dynamic tracking and feedback optimization system for university counselors' educational work. Background Art

[0002] The educational work of college counselors covers multiple key dimensions, assisting students in their growth in all aspects. In the field of ideological construction, counselors use thematic class meetings, special lectures and other forms to actively spread mainstream values, guide students to establish lofty ideals, and enhance their sense of social responsibility and mission. On the academic level, counselors have an in-depth understanding of the characteristics of each major, tailor study plans for students, guide course selection, and inspire students' love for their majors. For students with academic difficulties, targeted assistance is provided, and study mutual aid groups are organized to create a good learning atmosphere and improve the overall academic level. Life care is also a focus of counselors' work. They care about students' daily diet and daily life and help students adapt to collective life. For students with financial difficulties, they actively implement funding policies to help them complete their studies smoothly. Counselors always pay attention to the psychological state of students and cultivate their will and positive and optimistic attitude through one-on-one conversations and mental health education courses.

[0003] The existing counselor work may be difficult to meet the personalized needs of students because there are so many students and each student has different physical, mental and learning conditions. Summary of the Invention

[0004] In order to make up for the above shortcomings, the present invention provides a dynamic tracking and feedback optimization system for the educational work of college counselors, aiming to improve the existing counselor work. Due to the large number of students and the different physical, mental and learning conditions of each student, it may be difficult for the educational work to meet the personalized needs of students.

[0005] In the first aspect, the present invention provides the following technical solutions: a dynamic tracking and feedback optimization system for the educational work of college counselors, including a data acquisition module, a data processing and analysis module, a feedback and optimization module, and a functional module. The data acquisition module collects data on student life and counselor work through the academic affairs system, questionnaires, campus behavior monitoring system, and counselor mobile applications, and then transmits the data to the data processing and analysis module. The data processing and analysis module cleans and integrates the collected multi-source data, and uses correlation analysis, cluster analysis, and prediction models to obtain results. The feedback and optimization module uses the results of the data processing and analysis module to provide feedback on student anomalies and counselor work effects, generate optimization plans, and continuously evaluate and adjust. The functional module assists counselors in carrying out educational work through student file management and counselor work records.

[0006] Preferably, the data collection module includes a student information collection unit, a counselor work record collection unit and a campus behavior data collection unit. The student information collection unit is used to collect information on students' learning status and physical and mental conditions, the counselor work record collection unit is used to collect information on counselors' work conditions, and the campus behavior data collection unit is used to collect information on students' living conditions on campus.

[0007] Preferably, the student information collection unit includes an academic data subunit and a subjective information subunit, the counselor work record collection unit includes a daily work subunit and a work experience subunit, the campus behavior data collection unit includes a campus consumption subunit, a borrowing behavior subunit and a network behavior subunit, the academic data subunit is used to obtain course grades, course electives and attendance record information from the academic affairs system, the subjective information subunit is used to collect students' ideological trends, psychological state and interests and hobbies through questionnaires, the daily work subunit is used to collect conversation records with students, class meeting activities and daily affairs processing records, the work experience subunit is used to collect work experience summaries and problem feedback records, the campus consumption subunit is used to collect cafeteria consumption and other consumption records of the one-card pass, the borrowing behavior subunit is used to collect book borrowing and electronic resource usage records, and the network behavior subunit is used to collect campus network access and on-campus application usage records.

[0008] Preferably, the data processing and analysis module includes a data cleaning and integration unit, a data analysis model building unit and a visualization display unit. The data cleaning and integration unit is used to correct and organize the collected data, the data analysis model building unit is used to form an analysis model through the corrected and organized data, and the visualization display unit is used to display the analysis model through charts.

[0009] Preferably, the data cleaning and integration unit includes a data cleaning subunit and a data integration subunit, the data analysis model construction unit includes a correlation analysis subunit, a cluster analysis subunit and a prediction model subunit, the visualization display unit includes a chart making subunit and a graphic design subunit, the data cleaning subunit is used to delete duplicate data, correct erroneous data and supplement missing data, the data integration subunit is used to unify data formats and establish associations between different data sets, the correlation analysis subunit is used to analyze the correlation between student behavior and academics, psychology and behavior, the cluster analysis subunit is used to cluster student groups and counselor work patterns, the prediction model subunit is used to predict students' academic performance and psychological crisis trends, the chart making subunit is used to make line charts, bar charts and pie charts to display data, and the graphic design subunit is used to present data relationships through radar charts and scatter plots.

[0010] Preferably, the feedback and optimization module includes a real-time feedback unit, a personalized optimization plan generation unit, and an effect evaluation and continuous optimization unit. The real-time feedback unit is used to provide feedback on students' academic, psychological, and behavioral abnormalities, counselors' work performance, and student satisfaction. The personalized optimization plan generation unit is used to recommend professional skills and educational method training, provide reference analysis of success and failure cases, and give strategic adjustment suggestions for work methods and resource allocation. The effect evaluation and continuous optimization unit is used to track changes in student and work data, formulate student growth and work optimization evaluation indicators, and then fine-tune the optimization plan based on the evaluation results.

[0011] Preferably, the functional modules include a student file management unit, a work record unit, a data analysis unit, a feedback reminder unit and an optimization suggestion unit. The student file management unit is used to manage students' personal identity, contact information, transcripts, academic honors, records of rewards and disciplinary penalties, as well as psychological assessment results and consultation records. The work record unit is used to record the counselor's daily work flow and key work items, summarize work experience and lessons, and formulate improvement measures. The data analysis unit is used to analyze the characteristics of students of different grades and majors, evaluate activities and individual counseling effects, and predict student development and counselor work demand trends. The feedback reminder unit reminds counselors through text messages and system pop-ups, records historical feedback and processing status, and the optimization suggestion unit is used to propose communication skills, organizational management optimization suggestions, and formulate personalized and group care strategy suggestions.

[0012] In a second aspect, the present invention provides the following technical solution: a prediction method of a dynamic tracking and feedback optimization system for university counselors' educational work comprises the following steps:

[0013] S1. Data Collection: The student information collection unit in the data collection module collects information on students' learning status and physical and mental conditions from the academic affairs system and questionnaires. The counselor work record collection unit records the counselor's work status and experience. The campus behavior data collection unit obtains students' on-campus consumption, borrowing, and online behavior data, and transmits this data to the data processing and analysis module.

[0014] S2. Data processing and integration: The data cleaning subunit is used to remove duplicates, correct errors, and fill gaps in the collected data. The data integration subunit is then used to unify the data format and establish associations between different data sets.

[0015] S3. Constructing a data analysis model: The data analysis model construction unit uses the integrated and processed data to analyze the relationship between student behavior and academic performance, and between psychology and behavior through the association analysis subunit. The cluster analysis subunit clusters student groups and counselor work patterns. The prediction model subunit predicts students' academic performance and psychological crisis trends.

[0016] S4. Visual presentation of analysis results: The visualization unit uses the chart creation sub-unit to create line charts, bar charts, and pie charts, and the graphic design sub-unit uses radar charts and scatter plots to intuitively present the results obtained from the data analysis model;

[0017] S5. Feedback and Optimization Plan Generation: The real-time feedback unit provides feedback on student anomalies, counselor performance, and student satisfaction based on analysis results. Based on this feedback, the personalized optimization plan generation unit recommends training, provides case studies, and provides suggestions for adjusting work methods and resource allocation strategies.

[0018] S6. Effect evaluation and continuous optimization: The effect evaluation and continuous optimization unit tracks changes in student and work data, formulates student growth and work optimization evaluation indicators, evaluates optimization plans based on the indicators, and fine-tunes the plans as appropriate.

[0019] In the third aspect, the invention provides the following technical solution: a computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor; when the processor executes the computer program, the prediction method of the dynamic tracking and feedback optimization system for the educational work of college counselors is implemented.

[0020] In a fourth aspect, the present invention provides the following technical solution: a readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the prediction method of the dynamic tracking and feedback optimization system for the educational work of college counselors.

[0021] The present invention has the following beneficial effects:

[0022] 1. In the present invention, the data collection module utilizes multiple channels such as the academic affairs system, questionnaires, campus behavior monitoring system, and counselor mobile applications to collect data, covering various aspects of student learning, physical and mental health, life, and counselor work. This eliminates the need for counselors to collect data in multiple isolated systems or scenarios, thus avoiding information omissions and enabling them to fully understand the student status and their own work situation. This solves the problem that existing counselor work may be difficult to meet the personalized needs of students due to the large number of students and the different physical, mental, and learning conditions of each student.

[0023] 2. In the present invention, the feedback and optimization module provides real-time feedback on student anomalies and work performance based on data analysis results, generates personalized optimization plans, recommends training, provides case studies, adjusts work methods and resource allocation strategies, and improves the pertinence and effectiveness of work.

[0024] 3. In the present invention, the feedback reminder unit promptly reminds the counselor through text messages and system pop-up windows, records feedback and processing status, ensures that important information is not ignored, and enables the counselor to respond to students' problems in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is a system architecture diagram of the dynamic tracking and feedback optimization system for college counselors' educational work proposed by the present invention;

[0026] Figure 2 This is a diagram of the data acquisition module architecture of the dynamic tracking and feedback optimization system for college counselors' educational work proposed by the present invention;

[0027] Figure 3 This is a diagram of the data processing and analysis module architecture of the dynamic tracking and feedback optimization system for college counselors' educational work proposed by the present invention;

[0028] Figure 4 This is a diagram of the feedback and optimization module architecture of the dynamic tracking and feedback optimization system for college counselors' educational work proposed by the present invention;

[0029] Figure 5 This is a functional module architecture diagram of the dynamic tracking and feedback optimization system for college counselors' educational work proposed by the present invention. DETAILED DESCRIPTION

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0031] Example 1

[0032] Reference Figure 1 In the first embodiment of the present invention, the present invention provides a dynamic tracking and feedback optimization system for the educational work of college counselors, including a data acquisition module, a data processing and analysis module, a feedback and optimization module and a functional module. The data acquisition module collects data on student life and counselor work through the academic affairs system, questionnaires, campus behavior monitoring system and counselor mobile application, and then transmits the data to the data processing and analysis module. The data processing and analysis module cleans and integrates the collected multi-source data, and uses correlation analysis, cluster analysis and prediction models to obtain results. The feedback and optimization module uses the results of the data processing and analysis module to provide feedback on student anomalies and counselor work effects, generate optimization plans and continuously evaluate and adjust. The functional module assists counselors in carrying out educational work through student file management and counselor work records.

[0033] Specifically, the data acquisition module can realize the comprehensive collection of multi-source data, provide a data basis for subsequent data analysis and decision-making, and ensure that it can reflect the actual situation of students and counselors' work; the data processing and analysis module can clean and integrate the collected multi-source data to eliminate data noise and inconsistency; the feedback and optimization module can provide timely feedback on students' academic, psychological, behavioral abnormalities and counselors' work effectiveness based on the data processing and analysis results, generate optimization plans covering training recommendations, case references, and strategy adjustments, and realize dynamic adjustment of plans through continuous data tracking and indicator evaluation; the functional module can integrate student file information, record the work situation of counselors, deeply analyze student characteristics and work performance, timely convey key information and provide optimization strategies, assist counselors in carrying out educational work, and improve work efficiency and education quality.

[0034] Reference Figure 2 The data collection module includes a student information collection unit, a counselor work record collection unit and a campus behavior data collection unit. The student information collection unit is used to collect information on students' learning status and physical and mental conditions. The counselor work record collection unit is used to collect information on counselors' work conditions. The campus behavior data collection unit is used to collect information on students' life on campus.

[0035] Specifically, the student information collection unit can collect multi-dimensional information such as students' academic data, ideological trends, psychological state, interests and hobbies, providing detailed data support for understanding students' individual situations and analyzing group characteristics; the counselor work record collection unit can systematically retain information such as counselors' daily work, class meetings, affairs processing and work experience, providing a basis for reviewing the work process, summarizing lessons learned, and evaluating work results; the campus behavior data collection unit can collect information such as students' campus consumption, borrowing behavior, and online behavior, helping to gain insight into students' daily living habits, learning interests and preferences, and Internet usage, providing a data basis for analyzing students' behavior patterns, evaluating campus life status, and exploring potential problems.

[0036] Reference Figure 2The student information collection unit includes an academic data sub-unit and a subjective information sub-unit. The counselor work record collection unit includes a daily work sub-unit and a work experience sub-unit. The campus behavior data collection unit includes a campus consumption sub-unit, a borrowing behavior sub-unit, and a network behavior sub-unit. The academic data sub-unit is used to obtain course grades, course selections, and attendance record information from the academic affairs system. The subjective information sub-unit is used to collect student thoughts, psychological states, and interests through questionnaires. The daily work sub-unit is used to collect conversation records with students, class meeting activities, and daily affairs processing records. The work experience sub-unit is used to collect work experience summaries and problem feedback records. The campus consumption sub-unit is used to collect canteen consumption and other consumption records of the one-card pass. The borrowing behavior sub-unit is used to collect book borrowing and electronic resource usage records. The network behavior sub-unit is used to collect campus network access and on-campus application usage records.

[0037] Specifically, through the academic data sub-unit, course grades, electives and attendance records can be obtained from the academic affairs system to provide data for analyzing students' learning progress, knowledge mastery and learning attitudes, assisting counselors in identifying students' academic problems and implementing academic assistance and guidance; through the subjective information sub-unit, students' ideological dynamics, psychological state and interests and hobbies can be collected to gain an in-depth understanding of students' inner thoughts, emotional state and personal preferences, providing a basis for counselors to carry out personalized ideological education, psychological counseling and interest cultivation guidance; through the daily work sub-unit, processes can be standardized, tasks can be managed efficiently, information can be recorded in a standardized manner, communication and collaboration can be facilitated, work results can be quantified, knowledge and experience can be accumulated, and scientific support can be provided for decision-making; through the work experience sub-unit, It can help counselors reflect on their work, learn lessons, and promote the improvement of work methods and professional capabilities; through the campus consumption sub-unit, it can collect data on students' cafeteria dining, shopping consumption, etc., provide data basis for analyzing students' living standards, consumption habits and identifying students with financial difficulties, and help counselors carry out financial assistance and life care work; through the borrowing behavior sub-unit, it can collect data on the categories, frequency, and duration of students' borrowing of books, analyze students' interests and learning tendencies, and provide a basis for personalized education guidance and reading recommendations; through the network behavior sub-unit, it can collect data such as students' network access records and social platform usage, analyze students' network behavior patterns, interest preferences and potential risks, and provide support for network security education and guidance.

[0038] Reference Figure 3The data processing and analysis module includes a data cleaning and integration unit, a data analysis model construction unit and a visualization display unit. The data cleaning and integration unit is used to correct and organize the collected data. The data analysis model construction unit is used to form an analysis model through the corrected and organized data. The visualization display unit is used to display the analysis model through charts. The data cleaning and integration unit includes a data cleaning subunit and a data integration subunit. The data analysis model construction unit includes a correlation analysis subunit, a cluster analysis subunit and a prediction model subunit. The visualization display unit includes a chart making subunit and a graphic design subunit. The data cleaning subunit is used to delete duplicate data, correct erroneous data and supplement missing data. The data integration subunit is used to unify data formats and establish associations between different data sets. The correlation analysis subunit is used to analyze the correlation between student behavior and academic performance, and psychology and behavior. The cluster analysis subunit is used to cluster student groups and counselor work modes. The prediction model subunit is used to predict student academic performance and psychological crisis trends. The chart making subunit is used to make line charts, bar charts and pie charts to display data. The graphic design subunit is used to present data relationships through radar charts and scatter plots.

[0039] Specifically, the data cleaning and integration unit can eliminate erroneous, duplicate, and missing data, integrate multi-source data according to unified standards, and improve data quality and availability; the data analysis model construction unit can use correlation analysis, cluster analysis and other methods to build models, deeply explore the internal relationships of student data, and help counselors observe student status and optimize work strategies; the visualization display unit can present complex data in intuitive forms such as charts and graphs, helping counselors quickly understand student status and work results.

[0040] Reference Figure 4 The feedback and optimization module includes a real-time feedback unit, a personalized optimization plan generation unit, and an effect evaluation and continuous optimization unit. The real-time feedback unit is used to provide feedback on students' academic, psychological, and behavioral abnormalities, counselors' work performance, and student satisfaction. The personalized optimization plan generation unit is used to recommend professional skills and educational method training, provide reference analysis of success and failure cases, and give strategic adjustment suggestions for work methods and resource allocation. The effect evaluation and continuous optimization unit is used to track changes in student and work data, formulate student growth and work optimization evaluation indicators, and then fine-tune the optimization plan based on the evaluation results.

[0041] Specifically, the real-time feedback unit can promptly convey key data changes and abnormal student conditions to relevant personnel, providing information support for quickly adjusting work strategies and handling emergencies; the personalized optimization plan generation unit can generate customized strategies for counselors based on data analysis results that meet individual student needs and adapt to actual work; the effect evaluation and continuous optimization unit can quantify the effectiveness of the implementation of the evaluation plan and adjust the optimization strategy based on the evaluation results.

[0042] Reference Figure 5 The functional modules include student file management unit, work record unit, data analysis unit, feedback reminder unit and optimization suggestion unit. The student file management unit is used to manage students' personal identity, contact information, transcripts, academic honors, record rewards and disciplinary penalties, as well as psychological assessment results and consultation records. The work record unit is used to record the counselor's daily work flow and key work situations, summarize work experience and lessons and formulate improvement measures. The data analysis unit is used to analyze the characteristics of students of different grades and majors, evaluate the effectiveness of activities and individual counseling, and predict student development and counselor work demand trends. The feedback reminder unit reminds counselors through text messages and system pop-ups, records historical feedback and processing status, and the optimization suggestion unit is used to propose communication skills, organizational management optimization suggestions, and formulate personalized and group care strategy suggestions.

[0043] Specifically, the student file management unit can systematically integrate multi-stage information of students, providing data for understanding the students' growth process, implementing targeted education and career planning guidance; the work record unit can fully retain the details of the counselors' work progress, providing a reliable basis for reviewing work processes, evaluating work performance and transferring work experience; the data analysis unit can use statistical and mining techniques to analyze student and work data, reflect potential patterns and problems, and provide a basis for counselors' decision-making and work optimization; the feedback reminder unit can timely push information such as work progress and student anomalies to help counselors grasp the work rhythm and respond to problems quickly; the optimization suggestion unit can provide targeted suggestions for work process improvement and strategy adjustment based on data analysis results, thereby improving work quality.

[0044] Example 2:

[0045] Reference Figure 1 In a second embodiment of the present invention, the present invention provides a prediction method for a dynamic tracking and feedback optimization system for college counselors' educational work, comprising the following steps:

[0046] S1. Data Collection: The student information collection unit in the data collection module collects information on students' learning status and physical and mental conditions from the academic affairs system and questionnaires. The counselor work record collection unit records the counselor's work status and experience. The campus behavior data collection unit obtains students' on-campus consumption, borrowing, and online behavior data, and transmits this data to the data processing and analysis module.

[0047] S2. Data processing and integration: The data cleaning subunit is used to remove duplicates, correct errors, and fill gaps in the collected data. The data integration subunit is then used to unify the data format and establish associations between different data sets.

[0048] S3. Constructing a data analysis model: The data analysis model construction unit uses the integrated and processed data to analyze the relationship between student behavior and academic performance, and between psychology and behavior through the association analysis subunit. The cluster analysis subunit clusters student groups and counselor work patterns. The prediction model subunit predicts students' academic performance and psychological crisis trends.

[0049] S4. Visual presentation of analysis results: The visualization unit uses the chart creation sub-unit to create line charts, bar charts, and pie charts, and the graphic design sub-unit uses radar charts and scatter plots to intuitively present the results obtained from the data analysis model;

[0050] S5. Feedback and Optimization Plan Generation: The real-time feedback unit provides feedback on student anomalies, counselor performance, and student satisfaction based on analysis results. Based on this feedback, the personalized optimization plan generation unit recommends training, provides case studies, and provides suggestions for adjusting work methods and resource allocation strategies.

[0051] S6. Effect evaluation and continuous optimization: The effect evaluation and continuous optimization unit tracks changes in student and work data, formulates student growth and work optimization evaluation indicators, evaluates optimization plans based on the indicators, and fine-tunes the plans as appropriate.

[0052] Example 3

[0053] The third embodiment of the present invention is based on the same inventive concept. The present invention proposes a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the steps of the prediction method of the dynamic tracking and feedback optimization system of the college counselor's educational work in the above embodiment.

[0054] Example 4

[0055] The fourth embodiment of the present invention is based on the same inventive concept. The present invention proposes a computer device, including: a processor, a memory; the processor and the memory communicate with each other; the memory is used to store instructions; the processor is used to execute the instructions in the memory, and execute the prediction method of the dynamic tracking and feedback optimization system of the college counselor's educational work in the above embodiment.

[0056] It should be understood that various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0057] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A dynamic tracking and feedback optimization system for college counselors' educational work, including a data acquisition module, a data processing and analysis module, a feedback and optimization module, and a functional module, is characterized by: The data acquisition module collects data on student life and counselor work through the academic affairs system, questionnaires, campus behavior monitoring system and counselor mobile applications, and then transmits the data to the data processing and analysis module. The data processing and analysis module cleans and integrates the collected multi-source data, and uses association analysis, cluster analysis and prediction models to obtain results. The feedback and optimization module uses the results of the data processing and analysis module to provide feedback on student anomalies and counselor work effects, generate optimization plans and continuously evaluate and adjust. The functional module assists counselors in carrying out their educational work through student file management and counselor work records.

2. The dynamic tracking and feedback optimization system for college counselors' educational work according to claim 1 is characterized by: The data collection module includes a student information collection unit, a counselor work record collection unit and a campus behavior data collection unit. The student information collection unit is used to collect information on students' learning status and physical and mental conditions, the counselor work record collection unit is used to collect information on counselors' work conditions, and the campus behavior data collection unit is used to collect information on students' living conditions on campus.

3. The dynamic tracking and feedback optimization system for college counselors' educational work according to claim 1 is characterized by: The student information collection unit includes an academic data subunit and a subjective information subunit; the counselor work record collection unit includes a daily work subunit and a work experience subunit; the campus behavior data collection unit includes a campus consumption subunit, a borrowing behavior subunit and a network behavior subunit; the academic data subunit is used to obtain course grades, course electives and attendance record information from the academic affairs system; the subjective information subunit is used to collect students' ideological trends, psychological state and interests and hobbies through questionnaires; the daily work subunit is used to collect conversation records with students, class meeting activities and daily affairs processing records; the work experience subunit is used to collect work experience summaries and problem feedback records; the campus consumption subunit is used to collect cafeteria consumption and other consumption records of the one-card pass; the borrowing behavior subunit is used to collect book borrowing and electronic resource usage records; and the network behavior subunit is used to collect campus network access and on-campus application usage records.

4. The dynamic tracking and feedback optimization system for college counselors' educational work according to claim 1 is characterized by: The data processing and analysis module includes a data cleaning and integration unit, a data analysis model construction unit and a visualization display unit. The data cleaning and integration unit is used to correct and organize the collected data, the data analysis model construction unit is used to form an analysis model through the corrected and organized data, and the visualization display unit is used to display the analysis model through charts.

5. The dynamic tracking and feedback optimization system for college counselors' educational work according to claim 1 is characterized by: The data cleaning and integration unit includes a data cleaning subunit and a data integration subunit, the data analysis model construction unit includes an association analysis subunit, a cluster analysis subunit and a prediction model subunit, the visualization display unit includes a chart making subunit and a graphic design subunit, the data cleaning subunit is used to delete duplicate data, correct erroneous data and supplement missing data, the data integration subunit is used to unify data formats and establish associations between different data sets, the association analysis subunit is used to analyze the association between student behavior and academic performance, and psychology and behavior, the cluster analysis subunit is used to cluster student groups and counselor work patterns, the prediction model subunit is used to predict students' academic performance and psychological crisis trends, the chart making subunit is used to make line charts, bar charts and pie charts to display data, and the graphic design subunit is used to present data relationships through radar charts and scatter plots.

6. The dynamic tracking and feedback optimization system for college counselors' educational work according to claim 1 is characterized by: The feedback and optimization module includes a real-time feedback unit, a personalized optimization plan generation unit, and an effect evaluation and continuous optimization unit. The real-time feedback unit is used to provide feedback on students' academic, psychological, and behavioral abnormalities, counselors' work performance, and student satisfaction. The personalized optimization plan generation unit is used to recommend professional skills and educational method training, provide reference analysis of success and failure cases, and give strategic adjustment suggestions for work methods and resource allocation. The effect evaluation and continuous optimization unit is used to track changes in student and work data, formulate student growth and work optimization evaluation indicators, and then fine-tune the optimization plan based on the evaluation results.

7. The dynamic tracking and feedback optimization system for college counselors' educational work according to claim 1 is characterized by: The functional modules include a student file management unit, a work record unit, a data analysis unit, a feedback reminder unit, and an optimization suggestion unit. The student file management unit is used to manage students' personal identity, contact information, transcripts, academic honors, records of rewards and disciplinary penalties, as well as psychological assessment results and consultation records. The work record unit is used to record the counselor's daily work flow and key work items, summarize work experience and lessons, and formulate improvement measures. The data analysis unit is used to analyze the characteristics of students of different grades and majors, evaluate activities and individual counseling effects, and predict student development and counselor work demand trends. The feedback reminder unit reminds counselors through text messages and system pop-ups, records historical feedback and processing status, and the optimization suggestion unit is used to propose communication skills, organizational management optimization suggestions, and formulate personalized and group care strategy suggestions.

8. The prediction method of the dynamic tracking and feedback optimization system of the college counselor's educational work is characterized by: The method of using the dynamic tracking and feedback optimization system for the educational work of college counselors according to any one of claims 1 to 7 comprises the following steps: S1. Data Collection: The student information collection unit in the data collection module collects information on students' learning status and physical and mental conditions from the academic affairs system and questionnaires. The counselor work record collection unit records the counselor's work status and experience. The campus behavior data collection unit obtains students' on-campus consumption, borrowing, and online behavior data, and transmits this data to the data processing and analysis module. S2. Data processing and integration: The data cleaning subunit is used to remove duplicates, correct errors, and fill gaps in the collected data. The data integration subunit is then used to unify the data format and establish associations between different data sets. S3. Constructing a data analysis model: The data analysis model construction unit uses the integrated and processed data to analyze the relationship between student behavior and academic performance, and between psychology and behavior through the association analysis subunit. The cluster analysis subunit clusters student groups and counselor work patterns. The prediction model subunit predicts students' academic performance and psychological crisis trends. S4. Visual presentation of analysis results: The visualization unit uses the chart creation sub-unit to create line charts, bar charts, and pie charts, and the graphic design sub-unit uses radar charts and scatter plots to intuitively present the results obtained from the data analysis model; S5. Feedback and Optimization Plan Generation: The real-time feedback unit provides feedback on student anomalies, counselor performance, and student satisfaction based on analysis results. Based on this feedback, the personalized optimization plan generation unit recommends training, provides case studies, and provides suggestions for adjusting work methods and resource allocation strategies. S6. Effect evaluation and continuous optimization: The effect evaluation and continuous optimization unit tracks changes in student and work data, formulates student growth and work optimization evaluation indicators, evaluates optimization plans based on the indicators, and fine-tunes the plans as appropriate.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the prediction method of the dynamic tracking and feedback optimization system for the educational work of college counselors as described in claim 8 is implemented.

10. A readable storage medium, characterized in that: The readable storage medium stores a computer program, which, when executed by a processor, implements the prediction method of the dynamic tracking and feedback optimization system for the educational work of college counselors as described in claim 8.

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