Title :
The GCA for Groping of Learning in the Self-Regulated Chinese Teaching Platform
Author :
Guohang Song ; Liang Hu ; Nurbol ; Kuo Zhao
Author_Institution :
Coll. of Compute Sci. & Technol., Jilin Univ., Changchun, China
Abstract :
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.
Keywords :
computer aided instruction; natural languages; pattern clustering; teaching; GCA algorithm; birch algorithm; clustering algorithm; learner model; learning groping; remote learner learning styles; self-regulated remote Chinese teaching platform; Algorithm design and analysis; Clustering algorithms; Educational institutions; Genetic algorithms; Sociology; Statistics; clustering algorithm; learner model; self-regulated learning;
Conference_Titel :
Multimedia Information Networking and Security (MINES), 2012 Fourth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-3093-0
DOI :
10.1109/MINES.2012.227
