Research and Practice of Hybrid Teaching Based on AI technology for Foreign Language Translation

Ting Liu, Eunyoung Kim, Xiaoyan Li, Takaya Yuizono, Yukari Nagai, Yifen Lu

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

1 被引用数 (Scopus)

抄録

In the context of AI technology, it is necessary to reform the education by adopting information technology and intelligent teaching tools. The hybrid teaching and learning based on AI technology integrates online teaching with offline classroom teaching, by taking advantage of both informatic teaching and traditional teaching. This study takes an example of Japanese translation course of junior students majoring in Japanese language in higher education institutions, and conducts the AI-based Japanese translation hybrid teaching practice. The results indicate that the AI-based hybrid teaching mode may motivate students' activity and self-discipline in learning, and increase their capability and motif of autonomous learning.

本文言語英語
ホスト出版物のタイトルProceedings - 2020 International Conference on Computer Engineering and Application, ICCEA 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ664-668
ページ数5
ISBN(電子版)9781728159041
DOI
出版ステータス出版済み - 3 2020
イベント2020 International Conference on Computer Engineering and Application, ICCEA 2020 - Guangzhou, 中国
継続期間: 3 27 20203 29 2020

出版物シリーズ

名前Proceedings - 2020 International Conference on Computer Engineering and Application, ICCEA 2020

会議

会議2020 International Conference on Computer Engineering and Application, ICCEA 2020
Country中国
CityGuangzhou
Period3/27/203/29/20

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems and Management
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality

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