CN-122022585-A - Vocational education teaching quality evaluation system

CN122022585ACN 122022585 ACN122022585 ACN 122022585ACN-122022585-A

Abstract

The invention provides a vocational education teaching quality evaluation system, which belongs to the field of teaching quality evaluation, and comprises a data acquisition layer, a micro-service layer, a user interface layer and a block chain layer, wherein the data acquisition layer is configured to acquire multi-source evaluation data for teaching quality evaluation, an evaluation main body of the multi-source evaluation data comprises a thinking class teacher, a professional class teacher, a coaching person, an enterprise teacher and students, the micro-service layer is configured to evaluate the teaching quality based on a time sequence individual entropy weight evaluation algorithm according to the multi-source evaluation data, each evaluation main body is configured to log in the evaluation system through a webpage or a mobile terminal, the evaluation data is input for each service unit of the micro-service layer to call, and the block chain layer is configured to package and store the multi-source evaluation data in a block chain according to time sequence. The invention can solve the technical problems of professional education teaching quality evaluation, which only considers the teaching effect of students during school and does not introduce the effect feedback in the aspect of practical application capability and quality after the students participate in work.

Inventors

REN YUWAN
LI TONGQI

Assignees

重庆工程职业技术学院
兴创数业(重庆)科技有限公司

Dates

Publication Date: 20260512
Application Date: 20260202

Claims (11)

1. A vocational education teaching quality evaluation system, comprising: The system comprises a data acquisition layer, a data processing layer and a data processing layer, wherein the data acquisition layer is configured to acquire multi-source evaluation data for teaching quality evaluation, and an evaluation main body of the multi-source evaluation data comprises a thinking and polite class teacher, a professional class teacher, a counselor, an enterprise teacher and students; The micro-service layer is configured to evaluate the teaching quality based on a time sequence individual entropy weight evaluation algorithm according to the multi-source evaluation data; and the user interface layer is configured to enable each evaluation main body to log in the evaluation system through a webpage or a mobile terminal, and input evaluation data for each service unit of the micro-service layer to call.
2. The vocational education teaching quality evaluation system according to claim 1, wherein the micro service layer comprises: the procedural evaluation unit is configured to obtain a first procedural evaluation result by questionnaire investigation and scoring according to teaching behaviors of three stages of teaching preparation, teaching development and teaching feedback; A outcome evaluation unit configured to obtain a second-stage outcome evaluation result based on the outcome data after the teaching is completed; The value-added evaluation unit is configured to obtain a third-stage evaluation result of the value-added condition generated on students in the vocational education teaching after the students graduation is obtained for 1-2 years according to the action log and the questionnaire survey; And the evaluation calculation unit is configured to calculate by adopting a weighted average method according to the first, second and third stage evaluation results based on a time sequence individual entropy weight evaluation algorithm to obtain a teaching quality evaluation result updated in real time.
3. The vocational education teaching quality evaluation system according to claim 2, wherein the obtaining the real-time updated teaching quality evaluation result comprises: when the evaluation time point is before or after class, the evaluation calculation unit calculates according to the first stage evaluation result; when the evaluation time point is the end of the period or the training period, the evaluation calculation unit calculates according to the first and second stage evaluation results; When the evaluation time point is 1-2 years after the student graduation, the evaluation calculation unit calculates according to the first, second and third stage evaluation results.
4. The vocational education teaching quality evaluation system according to claim 2, wherein the time series individual entropy weight evaluation algorithm comprises the steps of: calculating time sequence information entropy and time sequence stability for each index of each evaluation subject participating in evaluation; Constructing a population entropy according to the time sequence information entropy; And calculating the composite weight according to the population entropy and the time sequence stability.
5. The system for evaluating the teaching quality of vocational education according to claim 4, wherein the time sequence stability coefficient is calculated when the composite weight is calculated according to the population entropy and the time sequence stability, and the time sequence stability coefficient can be obtained by solving by adopting a multi-target particle swarm optimization algorithm, and the method comprises the following steps: Defining a multi-objective optimizing function, and determining an optimizing target according to an evaluation index, wherein the optimizing target comprises minimum fluctuation, maximum trend rationality and maximum adaptation group entropy fusion requirement; defining constraint conditions; Randomly generating a plurality of initial particle positions meeting constraint conditions and initializing particle speeds through particle coding initialization parameters and particle groups; Calculating individual fitness, and judging pareto dominance according to the individual fitness; Constructing a candidate set according to the pareto dominance judgment result, repeatedly carrying out the pareto dominance judgment, and taking reserved and unremoved particles as the candidate set; And selecting a solution with the central crowding degree from the candidate set as a pareto optimal solution, and taking the pareto optimal solution as a time sequence stability coefficient.
6. The system for evaluating the teaching quality of vocational education according to claim 4, wherein individual fine tuning is performed on the composite weights according to the student prior mapping function after calculating the composite weights according to the population entropy and the time sequence stability.
7. The vocational education teaching quality evaluation system of claim 1, wherein the micro service layer further comprises: The evaluation main body management unit is configured to manage an evaluation main body and perform identity authentication, authority management and evaluation task allocation; An evaluation content construction unit configured to construct an evaluation index system, specify a plurality of evaluation indexes and scores of each of the evaluation indexes according to the mapping relationship; The data analysis and feedback unit is configured to carry out arrangement analysis on the collected evaluation data, the stage evaluation of the process evaluation unit, the result evaluation unit and the increment evaluation unit and the final teaching quality evaluation result output by the evaluation calculation unit, and form an evaluation report in a chart form according to the analysis result and feed back the evaluation report to teachers and students.
8. The vocational education teaching quality assessment system of claim 1, further comprising a blockchain layer configured to store the multi-source assessment data in a blockchain in chronological packaging.
9. A method for evaluating the quality of vocational education teaching, characterized in that the system for evaluating the quality of vocational education teaching according to any one of claims 1 to 8 is used for evaluating the quality of vocational education teaching, comprising the steps of: the method comprises the steps of obtaining multi-source evaluation data for teaching quality evaluation, wherein an evaluation main body of the multi-source evaluation data comprises a thinking class teacher, a professional class teacher, a coaching member, an enterprise teacher and students; Before a class, evaluating by a thinking class teacher, a professional class teacher, an enterprise teacher and students according to evaluation indexes to obtain first-stage evaluation data of a procedural evaluation unit; in class, the thinking class teacher, the professional class teacher, the coaching staff and the students evaluate according to the evaluation indexes to obtain second-time stage evaluation data of the procedural evaluation unit; Calculating respective composite weights of the three-time periodic evaluation data based on a time sequence individual entropy weight evaluation algorithm according to the first, second and third-time periodic evaluation data of the process periodic evaluation unit, and carrying out weighted average on the first, second and third-time periodic evaluation data according to the composite weights to obtain a professional education teaching quality evaluation result at an evaluation time point immediately after class; After the final examination, the thinking class teacher, the professional class teacher and the students evaluate according to the evaluation indexes to obtain a second stage evaluation result of the result evaluation unit, and according to the first, second and third stage evaluation data of the result evaluation unit and the second stage evaluation result of the result evaluation unit, calculating the respective composite weights of the 4 items based on a time sequence individual entropy weight evaluation algorithm, and then carrying out weighted average on the 4 items according to the composite weights to obtain the professional education teaching quality evaluation result of the final evaluation time point; And calculating the composite weights of the 5 items or the 6 items based on a time sequence individual entropy weight evaluation algorithm according to the first, second and third time stage evaluation data of the process evaluation unit, the second stage evaluation result of the result evaluation unit and the third stage evaluation result of the value evaluation unit, and carrying out weighted average on the 5 items or the 6 items according to the composite weights to obtain the professional education teaching quality evaluation result of the two evaluation time points of 1-2 years after the practice period or the graduation.
10. An electronic device, comprising: one or more processors; a storage means for storing one or more programs; the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the vocational education teaching quality evaluation method of claim 9.
11. A computer program product comprising computer programs/instructions which, when executed by a processor, implement the steps of the vocational education teaching quality evaluation method of claim 9.

Description

Vocational education teaching quality evaluation system Technical Field The invention relates to the technical field of teaching quality evaluation, in particular to a vocational education teaching quality evaluation system. Background With the rapid development of vocational education, the importance of teaching quality evaluation is increasingly highlighted. The traditional teaching evaluation method is mostly dependent on single-body evaluation, the evaluation content is limited, the method is simple, and dynamic changes in the teaching process and improvement of comprehensive quality of students are difficult to accurately reflect. In the prior art, the teaching quality of vocational education teaching in school is mainly evaluated; for example, the invention patent with publication number of CN113487213A describes a professional education teaching evaluation method based on big data, the method constructs an intelligent evaluation index system for the professional education teaching based on a random forest method by collecting the large data of the professional education, then establishes an intelligent evaluation model for the professional education teaching by adopting a clustering algorithm, and then uses the evaluation model to carry out package-on teaching design, teaching implementation and teaching evaluation on the whole-flow teacher teaching quality visualization, realizes teacher portrait and completes the professional education teaching evaluation. However, the technical scheme does not consider professional education as a long-term process, and besides knowledge learning and mastering in a classroom, more importantly, the improvement effect of education on practical application capability and quality of students is examined, and feedback of the effect on practical application capability and quality may lag and extend to 1-2 years after the students are in graduation and participate in work. Therefore, there is an urgent need for a vocational education teaching quality evaluation system, whose evaluation time span includes both the period of time during which the student is in school and the period of time after which the student is engaged in work, and which is capable of dynamically updating the evaluation result in real time so as to promote scientificity, accuracy and credibility of the evaluation. Disclosure of Invention Aiming at the defects existing in the prior art, the invention provides a vocational education teaching quality evaluation system, which aims to solve the technical problems that in the prior art, the vocational education teaching quality is evaluated, only the teaching effect of students during school is considered, and the effect feedback in the aspects of practical application capability and quality after the students participate in work is not introduced. The technical scheme adopted by the invention is as follows: in a first implementation manner, there is provided a vocational education teaching quality evaluation system, including: The system comprises a data acquisition layer, a data processing layer and a data processing layer, wherein the data acquisition layer is configured to acquire multi-source evaluation data for teaching quality evaluation, and an evaluation main body of the multi-source evaluation data comprises a thinking and polite class teacher, a professional class teacher, a counselor, an enterprise teacher and students; The micro-service layer is configured to evaluate the teaching quality based on a time sequence individual entropy weight evaluation algorithm according to the multi-source evaluation data; and the user interface layer is configured to enable each evaluation main body to log in the evaluation system through a webpage or a mobile terminal, and input evaluation data for each service unit of the micro-service layer to call. In combination with the first implementation manner, in a second implementation manner, the micro service layer includes: the procedural evaluation unit is configured to obtain a first procedural evaluation result by questionnaire investigation and scoring according to teaching behaviors of three stages of teaching preparation, teaching development and teaching feedback; A outcome evaluation unit configured to obtain a second-stage outcome evaluation result based on the outcome data after the teaching is completed; The value-added evaluation unit is configured to obtain a third-stage evaluation result of the value-added condition generated on students in the vocational education teaching after the students graduation is obtained for 1-2 years according to the action log and the questionnaire survey; And the evaluation calculation unit is configured to calculate by adopting a weighted average method according to the first, second and third stage evaluation results based on a time sequence individual entropy weight evaluation algorithm to obtain a teaching quality evaluation result updated in real time. With referen