APPLICATION OF DATA MINING BASED ON IMAGE FEATURE FUSION MODEL IN TEACHING EVALUATION

Yongqiang Ma; Dexi  Chen; Wei  Sun; Feng Liu

doi:10.29121/shodhkosh.v7.i4s.2026.7066

Authors

Yongqiang Ma School of Computer and Big Data, Jining Normal University, Ulanqab 012000, Inner Mongolia, China
Dexi Chen School of Computer and Big Data, Jining Normal University, Ulanqab 012000, Inner Mongolia, China
Wei Sun School of Computer and Big Data, Jining Normal University, Ulanqab 012000, Inner Mongolia, China
Feng Liu School of Computer and Big Data, Jining Normal University, Ulanqab 012000, Inner Mongolia, China

DOI:

https://doi.org/10.29121/shodhkosh.v7.i4s.2026.7066

Keywords:

Image Feature Fusion, Technology, Teaching Assessment, Data Mining, Data Collection

Abstract [English]

Nowadays, the modernization of education information is also an inevitable development path, and education management information systems have been widely used. The TQ and comprehensive evaluation of education and classrooms from the perspective of students and teachers. However, the traditional teaching assessment system has imperfect aspects. For example, the content of teaching assessment is too broad and the students' evaluation attitude is not objective, etc., which may cause the teaching assessment to lose its meaning. Using the methods of literature, mathematical statistics and questionnaire, this paper deeply studies the application of data mining theory and Image Feature Fusion technology. An application experiment of data mining based on Image Feature Fusion technology in teaching assessment is designed, established a decision table of key factors affecting teaching assessment, through the data preprocessing process and attribute reduction teaching method, the important factors affecting teaching evaluation are analyzed, preparation before class, etc. Finally, through the analysis of these factors, it is learned that students’ dissatisfaction with the current teaching assessment system accounts for 47.87%, and the dissatisfaction of teachers accounts for 31.28%. Therefore, teachers also should strive to improve their professional skills and teaching quality.

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