One of the reasons for the problems in the online and offline hybrid teaching of college students is the lack of analysis of students'behavior data in the network environment,so it is impossible to judge students'learning style.Based on the data mining technology,this paper collects the learning behavior data of Process Control Engineering course by using the network learning platform,establishes a multi-dimensional learning style model based on the Grey Wolf algorithm optimization support vector mechanism,and processes and predicts its possible learning styles.This research is helpful for teachers to grasp the students'trends in time,adjust the mixed teaching scheme of online and offline,and realize the individualized teaching mode of individualized teaching.
learning styleGrey Wolf algorithmmodel predictionlearning behaviorindividualized teaching
国家科技期刊平台
NSTL
万方数据
维普
