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Cluster Analysis on the Teaching Evaluation Data from College Students

This system of students' evaluation of teaching has been common in today's colleges and universities. A large number of teaching evaluation data contains specific knowledge and rules. Based on the analysis of the importance of teaching evaluation and the phenomenon of distortion of teaching evaluation data, a new analysis model for research on teaching evaluation data by using an improved K-Modes clustering method is proposed in this paper. The experimental results show that the clustering analysis model can excavate the characteristics of the students and the attribute property of courses will have a certain impact on the evaluation of the evaluation of teaching. Therefore, based on these findings the teaching management department will consider reaffirming the results of teaching evaluation, and even further improve the system of teaching evaluation.