Chinese Key-Image Learning: An App Designed with Handwriting Evaluation and Instant Feedback to Support Chinese Character Learning

研究成果: 書貢獻/報告類型會議論文篇章

摘要

The purpose of this study is to develop and evaluate a mobile-assisted Chinese language learning app that introduces hundreds of fundamental Chinese characters with an innovative method, namely the Key-Image Mnemonics (KIM). This method is developed based on cognitive and learning theories (i.e., the Elaboration Theory, the Dual Coding Theory, and the Key-Word Method) and the effectiveness of this method in Chinese-as-foreign/second-language (CFL/CSL) learning is strongly supported by laboratory and classroom studies. In this paper, mobile technologies were applied to enhance the effect of this Key-Image Mnemonics. Firstly, we reviewed background research in the fields of mobile learning and character learning of CSL/CFL learners. Second, we presented the framework and development of the app, Chinese Key-Image Learning, which aims to support autonomous learning of CFL/CSL learners. Specifically, this app provides handwriting practices with instant feedback, including handwriting demonstration, evaluation, and error correction. Finally, we conducted a focus group to gather feedback from Chinese teachers and students to understand their perceived usefulness, perceived ease of use, and perceived enjoyment after using this app. The evaluation included both quantitative and qualitative aspects. Implications for using this app in supporting character learning of CFL/CSL learners as well as our future work are discussed.

原文英語
主出版物標題Innovative Technologies and Learning - 2nd International Conference, ICITL 2019, Proceedings
編輯Lisbet Rønningsbakk, Ting-Ting Wu, Frode Eika Sandnes, Yueh-Min Huang
發行者Springer
頁面547-557
頁數11
ISBN(列印)9783030353421
DOIs
出版狀態已發佈 - 2019
事件2nd International Conference on Innovative Technologies and Learning, ICITL 2019 - Tromsø, 挪威
持續時間: 2019 十二月 22019 十二月 5

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11937 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

會議

會議2nd International Conference on Innovative Technologies and Learning, ICITL 2019
國家挪威
城市Tromsø
期間2019/12/022019/12/05

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

指紋 深入研究「Chinese Key-Image Learning: An App Designed with Handwriting Evaluation and Instant Feedback to Support Chinese Character Learning」主題。共同形成了獨特的指紋。

引用此