Preliminary Design of an AI Service to Assist Self-regulated Learning by Edge Computing

Eason Chen*, Yuen Hsien Tseng, Yu Tang You, Kuo Ping Lo, Chris Lin

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

摘要

When sitting in front of a computer screen for online learning, students can be easily distracted by other sources on the Internet. To help students improve their online learning experience, we implemented a highly accessible AI service, which collected facial data from the web camera to assist self-regulated learning for students with privacy protection by way of edge computing. The service can capture self-learning metrics such as eye gazing points and facial expressions. Then the captured facial streaming data can be played back by the user. All steps are done locally at the users’ browser. The learners can review their online learning process to improve their learning efficiency through an interactive interface. Our preliminary evaluation showed promising feedback from real users.

原文英語
主出版物標題Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium - 23rd International Conference, AIED 2022, Proceedings
編輯Maria Mercedes Rodrigo, Noburu Matsuda, Alexandra I. Cristea, Vania Dimitrova
發行者Springer Science and Business Media Deutschland GmbH
頁面577-581
頁數5
ISBN(列印)9783031116469
DOIs
出版狀態已發佈 - 2022
事件23rd International Conference on Artificial Intelligence in Education, AIED 2022 - Durham, 英国
持續時間: 2022 7月 272022 7月 31

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
13356 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

會議

會議23rd International Conference on Artificial Intelligence in Education, AIED 2022
國家/地區英国
城市Durham
期間2022/07/272022/07/31

ASJC Scopus subject areas

  • 理論電腦科學
  • 一般電腦科學

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