The GCA for Groping of Learning in the Self-Regulated Chinese Teaching Platform

摘要

This paper improves the learner model of the original remote Chinese teaching platform of self-regulated learning, and in new model, we used the GCA algorithm to takes place the original birch algorithm on learners' model. Improved learner model made a deep division for the learning styles of remote learners, which provides favorable theoretical basis for clustering algorithm.