Exploring the Evaluation of College Students’ Learning Effect Under SPOC Teaching Mode Based on Cluster Analysis

Abstract

SPOC (Small Private Online Course) is an online and offline blended teaching mode. Many colleges and universities have adopted this teaching mode to improve teaching quality. However, due to the particularity of teaching mode, the way of evaluating students' learning effect under this mode needs to be further explored. In this study, a course with SPOC teaching mode was selected as an example and K-means algorithm was applied to conduct cluster analysis on students' learning behaviours and grades, so as to form an evaluation of students' learning effects by classification. The study also predicted the importance of various factors that might influence learning outcomes. The research results verify the effectiveness of K-means clustering method in evaluating students' learning effect. The application of this evaluation method can enable students to improve themselves in a targeted way, and also help teachers find potential problems in SPOC teaching mode, so as to further improve the teaching quality.