Construction and Practice of Teaching Evaluation System Based on Data Mining
Download PDF
$currentUrl="http://$_SERVER[HTTP_HOST]$_SERVER[REQUEST_URI]"

Keywords

Data mining
Teaching evaluation system
Correlation rules

DOI

10.26689/jera.v8i5.8430

Submitted : 2024-09-15
Accepted : 2024-09-30
Published : 2024-10-15

Abstract

The teaching quality evaluation system based on data mining technology can accurately and fairly identify the core driving factors to improve teaching quality. This method adopts the analysis of big data correlation rules, including data collection and processing preparation steps, builds the data warehouse of association rules, and then generates an educational quality evaluation framework using the principle of data mining. Based on this, this paper analyzes the construction design and method of the teaching evaluation system under data mining, hoping to provide help for the improvement of the teaching evaluation system and the improvement of teaching quality.

References

Wei Y, Wu Y, 2023, Quality Evaluation Method for Blended Learning Mode based on Big Data Mining. Information and Computer (Theoretical Edition), 35(01): 251–253.

Lin L, 2022, Construction of Internal Teaching Quality Evaluation System in Local Universities Based on Data Mining. China High Tech, 2022(13): 157–160.

Liu Z, Liu C, Wang F, 2021, Reform of Teacher Evaluation Effectiveness Using Data Mining Technology. Office Automation, 26(17): 58–59 + 11.

Chen Q, 2020, Suggestions and Practices of Big Data Analysis in Teaching Evaluation System. Journal of Hanjiang Normal University, 40(03): 91–94.

Liu B, 2023, Smart Classroom Leading Digital Transformation of Teaching: Trends, Characteristics, and Practical Strategies. Research on Electronic Education, 44(08): 71–79.

Li X, Yuan L, 2023, Construction of Smart Teaching Evaluation Model Based on Big Data Technology. Science and Technology Innovation and Application, 13(12): 11–14 + 19.

Zhou J, Zhang K, Zhang S, 2024, Research on Building a University Evaluation System Based on Big Data Technology. Shanxi Electronic Technology, 2024(04): 99–101.

Zhao L, Jiang X, Dai R, 2023, Intrinsic Technology Ethics: Considerations for the Intelligent Transformation of Teaching Evaluation. China Distance Education, 43(01): 40–48.

Yu B, Peng C, Liu C, 2024, Teaching Reform of Data Mining Course under Multimodal Fusion. Computer Education, 2024(04): 38–43.

Gou R, Ye X, Luo X, et al., 2021, Design of Teaching Evaluation System Based on Fuzzy Evaluation and Data Mining. Information Technology, 2021(09): 19–23.

Wang Y, 2024, Exploration of Informationization of University Teaching Management Based on Data Mining Technology. Education and Teaching Forum, 2024(01): 109–112.

Teng X, 2023, Application of Data Mining Technology in Teaching Evaluation System. Electronic Technology, 52(11): 254–255.

Ye F, 2020, Application of Data Mining Technology in Teaching Quality Monitoring. Fujian Computer, 36(06): 102–105.

Yang J, Zhu L, 2020, Research on a New Teaching Quality Evaluation System Based on Big Data Technology. Journal of Hanjiang Normal University, 40(03): 95–98.

Qi R, Guo X, Meng J, et al., 2020, Application of Data Mining Technology in University Teaching Evaluation. Journal of Shijiazhuang University, 22(03): 65–68.

Ma J, 2020, Research and Design of Multidimensional University Teaching Quality Assurance Management System Based on Data Mining. Modern Vocational Education, 2020(09): 16–19.

Wei D, Wei X, 2020, Design of Network Experiment Teaching Evaluation System Based on Data Mining. Modern Electronic Technology, 43(03): 142–145 + 149.

Zhao Q, 2019, Research on Teaching Quality Evaluation System Based on Data Mining. Wireless Internet Technology, 16(13): 86–87.

Long H, Huo N, 2019, Establishment and Practice of Teaching Evaluation System Based on Big Data Analysis. Computer Knowledge and Technology, 15(15): 19–20.

Liu J, Huang Y, Yan L, 2019, Data Mining and Analysis of Classroom Teaching Evaluation. Journal of Education Science, Hunan Normal University, 18(02): 118–124.