The GCA for groping of learning in the self-regulated Chinese teaching platform

被引：0

作者：

Song, Guohang ^{[1
]}

Hu, Liang ^{[1
]}

Nurbol ^{[2
]}

Zhao, Kuo ^{[1
]}

机构：

[1] Jilin Univ, Coll Comp Sci & Technol, Changchun, Jilin, Peoples R China

[2] Xinjjiang Univ, Coll Comp Sci & Technol, Xinjiang, Peoples R China

来源：

2012 FOURTH INTERNATIONAL CONFERENCE ON MULTIMEDIA INFORMATION NETWORKING AND SECURITY (MINES 2012) | 2012年

关键词：

self-regulated learning; clustering algorithm; learner model; ADAPTIVE EDUCATIONAL-SYSTEM;

D O I：

10.1109/MINES.2012.227

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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

引用

页码：488 / 491

页数：4

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