Design of Teaching Quality Evaluation System for College English Majors Based on Data Mining Algorithms

In order to improve the scientific and practical evaluation of the teaching quality of English majors in universities, an evaluation system based on data mining algorithms was constructed. A multi-level indicator system covering teaching investment, teaching process, and teaching effectiveness was designed, and a multi algorithm fusion model was used for evaluation and analysis. Through experimental verification of three universities, the results show that the evaluation system significantly improves the accuracy and efficiency of evaluation, effectively identifies key factors affecting teaching quality, and provides important basis for optimizing teaching management.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1145/3724504.3724588
Citations
1
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.41
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article

Design of Teaching Quality Evaluation System for College English Majors Based on Data Mining Algorithms

Xiaoxiao Ma
1 citations
Online Learning and Analytics
0.41
article

Design of Teaching Quality Evaluation System for College English Majors Based on Data Mining Algorithms

Xiaoxiao Ma
article en
1 citations

Abstract

In order to improve the scientific and practical evaluation of the teaching quality of English majors in universities, an evaluation system based on data mining algorithms was constructed. A multi-level indicator system covering teaching investment, teaching process, and teaching effectiveness was designed, and a multi algorithm fusion model was used for evaluation and analysis. Through experimental verification of three universities, the results show that the evaluation system significantly improves the accuracy and efficiency of evaluation, effectively identifies key factors affecting teaching quality, and provides important basis for optimizing teaching management.

Xi'an University of Technology (CN)
Openalex Percentile: Top 23%
Online Learning and Analytics
0.41
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