A Cluster-Based Analysis Method for Student Evaluation Data of Independent Colleges
A data analysis and clustering technology, applied in the field of big data, can solve the problems of data waste, the influence of group differences and curriculum differences, and misuse, and achieve the effect of improving teaching level and strengthening teaching management.
Active Publication Date: 2022-02-11
XIAMEN UNIV TAN KAH KEE COLLEGE
View PDF8 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0006] Aiming at the deficiencies of the prior art, the present invention proposes a cluster-based analysis method for teaching evaluation data of independent college students to solve the problems of data waste and misuse. Grades, student majors, student grades, course attributes, teaching evaluation scores and other factors are used to cluster data sets, and representative rules are excavated from the clustering patterns, that is, whether the level of teaching evaluation scores is affected by the current student group differences and course differences. What is the impact, and what is the impact, to provide decision-making support for schools to look at it more reasonably and use the results of teaching evaluation to supervise teaching
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0043] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0044] Such as figure 1 The architecture of the teaching evaluation system shown in the figure first collects the basic information, attendance rate, course final grades and teaching evaluation questionnaire data of students in the process 1 and 2 by the teaching evaluation system client, and then stores all the data in the teaching evaluation database on the server side Standby, as described in Procedure 3. When the technician triggers the cluster analysis model of the teaching evaluation data on the client side, the server side of the teaching evaluation system sends the teaching evaluation data to the clustering client for algorithm analysis, as shown in processes 4 and 5. Finally, the analysis conclusions will be stored in a dedicated database and can also be printed into reports for teaching administrators to view to assist decision-making.
[00...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a method for analyzing teaching evaluation data of independent college students based on clustering. The K‑Modes algorithm analyzes the data in the teaching evaluation data table and obtains the results of the data analysis. The present invention uses the clustering analysis method to start from the obtained teaching evaluation result data, combined with the attribute characteristics of students and courses to carry out big data analysis, and discovers the laws hidden in the data set, that is, whether the teaching evaluation results are affected by subjective factors , which subjective factors will affect the final result; assist decision-making, further strengthen teaching management and improve teaching level, and can also adjust and optimize the evaluation mechanism to make it more rational.
Description
technical field [0001] The invention relates to the field of big data technology, in particular to a cluster-based analysis method for teaching evaluation data of independent college students. Background technique [0002] At present, universities at home and abroad generally use some teaching quality evaluation methods to supervise the teaching effect of teachers, so as to build a supervision and guarantee system for teaching quality. Among them, teaching evaluation by students as the main body has become the mainstream form. This method can discover and solve various problems in the teaching work in time, and has played a positive role in improving teachers' teaching, enhancing students' initiative, and improving teaching quality. After the evaluation, the management of the school rewards and punishes the teachers according to the scores of the evaluation to promote healthy competition. [0003] However, teaching evaluation itself is a kind of cognition process, and peopl...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/28G06K9/62G06Q10/06G06Q50/20
CPCG06F16/285G06Q10/0639G06Q50/205G06F18/23213
Inventor 辜萍萍
Owner XIAMEN UNIV TAN KAH KEE COLLEGE