Learning analytics: An enabler for dropout prediction

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationWorkshop Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014
EditorsThepchai Supnithi, Siu Cheung Kong, Ying-Tien Wu, Tomoko Kojiri, Chen-Chung Liu, Hiroaki Ogata, Akihiro Kashihara
PublisherAsia-Pacific Society for Computers in Education
Pages286-288
Number of pages3
ISBN (Electronic)9784990801427
Publication statusPublished - 2014 Jan 1
Externally publishedYes
Event22nd International Conference on Computers in Education, ICCE 2014 - Nara, Japan
Duration: 2014 Nov 302014 Dec 4

Publication series

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

Other

Other22nd International Conference on Computers in Education, ICCE 2014
CountryJapan
CityNara
Period14/11/3014/12/4

Keywords

  • Dropout
  • Learning analytics
  • Predictive model

ASJC Scopus subject areas

  • Computer Science Applications
  • Human-Computer Interaction
  • Education

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  • Cite this

    Tseng, S. F., Chou, C. Y., Chen, Z. H., & Chao, P. Y. (2014). Learning analytics: An enabler for dropout prediction. In T. Supnithi, S. C. Kong, Y-T. Wu, T. Kojiri, C-C. Liu, H. Ogata, & A. Kashihara (Eds.), Workshop Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014 (pp. 286-288). (Workshop Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014). Asia-Pacific Society for Computers in Education.