Data Mining Technology in Higher Vocational “Double Helix” Hybrid Teaching

Abstract

In this paper, a hybrid teaching personalized learning system model based on data mining technology is proposed. The data mining technology is used to discover each student's personality, learning behavior, learning feedback information and teaching information that the teacher is interested in, adjust the teaching strategy in time, and make the teaching content and teaching activities suitable for the student's personality. The personalized learning system based on this model truly embodies the educational concept of teaching students according to their aptitude. Hybrid teaching is the development trend of college teaching, but there are not many colleges and universities that push forward the reform of hybrid teaching mode as a whole at the school level. On the basis of the literature research on the strategies for promoting the reform of hybrid teaching mode at home and abroad, this paper constructs the strategies for promoting the reform of Hybrid Teaching Mode in Colleges and universities in China from five aspects: top-level design, training system, quality monitoring and information feedback mechanism, incentive system and service system. Practice has proved that the promotion strategy creates a mixed teaching mode reform atmosphere in Colleges and universities, improves teachers’ teaching ability, and improves students’ enthusiasm and ability to learn.