An Analysis Method of Online Learning Behavior of Higher Vocational Students Based on Learner Profiles and Feature Clustering——A Case Study of the"Information Technology"Course
Online learning has become an important learning approach,and how to improve the quality of online learning for higher vocational students is a concern for vocational education researchers.This paper puts forward an analysis method for online learning behavior of higher vocational students based on learner profiles and feature clustering,and takes the"Information Technology"course as an example to construct learner profiles.A dual hybrid category-generating method is adopted to conduct group clustering for learners,which helps teachers fully understand learners of different categories and then improve the teaching quality.
vocational college studentsonline learning behaviorlearner profilesfeature clustering
NETL
NSTL
万方数据
