Non-native Chinese language learners' attitudes towards online vision-based motion games

Learning to write Chinese characters is often thought to be a very challenging and laborious task. However, new learning tools are being designed that might reduce learners' tedium. This study explores one such tool, an online program in which learners can learn Chinese characters through visio...

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Bibliographic Details
Published in:British journal of educational technology 2010-11, Vol.41 (6), p.1043-1053
Main Authors: Hao, Yungwei, Hong, Jon-Chao, Jong, Jyh-Tsorng, Hwang, Ming-Yueh, Su, Chao-Ya, Yang, Jin-Shin
Format: Article
Language:English
Subjects:
Chinese
Chinese languages
Computer & video games
Computer programs
Computer System Design
Educational Games
Educational Technology
Foreign language learning
Games
Ideography
Instructional Design
Interviews
Learning
Learning Strategies
Motion
Multimedia Instruction
Observation
On-line programming
Online
Online instruction
Second Language Instruction
Second Language Learning
Strategy
Strokes
Student Attitudes
Student Surveys
Video Technology
Web Based Instruction
Webcams
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Summary:Learning to write Chinese characters is often thought to be a very challenging and laborious task. However, new learning tools are being designed that might reduce learners' tedium. This study explores one such tool, an online program in which learners can learn Chinese characters through vision‐based motion games. The learner's gestures are detected by a computer webcam, which sends the message back to the online program, and the corresponding strokes appear on the computer screen. In this way, the learner practises the correct Chinese stroke order by gesturing. For this study, nine non‐native Chinese‐language learners used this program to practise writing characters, and their learning strategies and attitudes towards the online program were observed. Data were collected from two self‐reported surveys and interviews. The results of the study are reported here, and implications for instructional design and future development of the gestural recognition program are discussed.
ISSN:0007-1013
1467-8535
DOI:10.1111/j.1467-8535.2009.01050.x