Research on effectiveness of college english blended teaching mode under small private online course based on machine learning

Abstract

Machine learning-based learning effectiveness analysis is an important part of the current analysis of college students’ learning effectiveness and it is directly related to the learning effect. It plays a very important role in the analysis of college students’ learning, and enhances the learning effect of students to the greatest extent. The study aimed to investigate the students’ English learning effectiveness under small private online course (SPOC) teaching mode based on machine learning. The study designed and implemented the blended teaching mode of college English based on SPOC. Next, the study investigated the students’ English learning effectiveness under SPOC teaching mode by an empirical study and analyzed the students’ English learning effectiveness under SPOC teaching mode based on machine learning. The results showed that the students were satisfied with the blended teaching mode of college English based on SPOC and students’ academic English skills, research skills and learning effectiveness were improved in the SPOC-based teaching mode. In order to improve the effect of the blended English teaching mode, teachers need to reconstruct the teaching mode of college English based on the SPOC platform, improve the evaluation mechanism, take advantage of the continuous integration of information technology and college English teaching, and build an innovative English teaching mode in order to improve the quality of college English teaching.