Learning analytics: An enabler for dropout prediction

Shu Fen Tseng, Chih Yueh Chou, Zhi Hong Chen, Po Yao Chao

研究成果: 書貢獻/報告類型會議貢獻

3 引文 斯高帕斯(Scopus)

摘要

A key application of learning analytics is predicting students' learning performances and risks of dropping out. Heterogeneous data were collected from selected school to yield a model for predicting student's dropout. Results from this exploratory study conclude dropout prediction by learning analytics may provide more precise information on identifying at-risk students and factors causing them to be at risk.

原文英語
主出版物標題Workshop Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014
編輯Thepchai Supnithi, Siu Cheung Kong, Ying-Tien Wu, Tomoko Kojiri, Chen-Chung Liu, Hiroaki Ogata, Akihiro Kashihara
發行者Asia-Pacific Society for Computers in Education
頁面286-288
頁數3
ISBN(電子)9784990801427
出版狀態已發佈 - 2014 一月 1
對外發佈Yes
事件22nd International Conference on Computers in Education, ICCE 2014 - Nara, 日本
持續時間: 2014 十一月 302014 十二月 4

出版系列

名字Workshop Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014

其他

其他22nd International Conference on Computers in Education, ICCE 2014
國家日本
城市Nara
期間14/11/3014/12/4

ASJC Scopus subject areas

  • Computer Science Applications
  • Human-Computer Interaction
  • Education

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