Applying big data analysis technique to students' learning behavior and learning resource recommendation in a MOOCs course

Yu Sheng Su, Ting Jou Ding, Jiann Hwa Lue, Chin Feng Lai, Chiu Nan Su

研究成果: Conference contribution

8 引文 斯高帕斯(Scopus)

摘要

Through MOOCs and social media platforms, users can share, track, and search for the information of their specific interests. Thus, they can make interactive discussions as well as social media learning on multimedia texts and learning materials. This paper proposes a big data analysis technique on learning portfolio to explore how the interaction, unknown correlations, and hidden patterns among learners on MOOCs and social media platforms starts, and recognize the using big data analytics transforming on students' learning behavior. Therefore, the learning behavior information will be the recommendation of the analogous courses for the instructors in the future.

原文English
主出版物標題Proceedings of the 2017 IEEE International Conference on Applied System Innovation
主出版物子標題Applied System Innovation for Modern Technology, ICASI 2017
編輯Teen-Hang Meen, Artde Donald Kin-Tak Lam, Stephen D. Prior
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1229-1230
頁數2
ISBN(電子)9781509048977
DOIs
出版狀態Published - 2017 7月 21
事件2017 IEEE International Conference on Applied System Innovation, ICASI 2017 - Sapporo, Japan
持續時間: 2017 5月 132017 5月 17

出版系列

名字Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017

Other

Other2017 IEEE International Conference on Applied System Innovation, ICASI 2017
國家/地區Japan
城市Sapporo
期間17-05-1317-05-17

All Science Journal Classification (ASJC) codes

  • 電腦網路與通信
  • 電腦科學應用
  • 硬體和架構
  • 安全、風險、可靠性和品質
  • 機械工業
  • 媒體技術
  • 健康資訊學
  • 儀器

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