KASTAM: A Model of Kanji Learning for Knowledge Stability

Toshihiro HAYASHI  Yukuo HAYASHIDA  Yoneo YANO  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E78-A   No.5   pp.587-588
Publication Date: 1995/05/25
Online ISSN: 
DOI: 
Print ISSN: 0916-8508
Type of Manuscript: Special Section LETTER (Special Section of Letters Selected from the 1994 IEICE Fall Conference)
Category: 
Keyword: 
CAI,  kanji learning,  knowledge stability,  KASTAM,  

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Summary: 
This paper describes a model of kanji (Chinese characters) learning, called KASTAM (Knowledge Acquisition and STAbility Model), in order to develop a CAI system which supports a student to stabilize her/his kanji knowledge. KASTAM can handle kanji learning as complementary acquisition and stability processes of kanji knowledge.