Educational data mining applications and tasks: A survey of the last 10 years-Reference-Cited by-同舟云学术

Educational data mining applications and tasks: A survey of the last 10 years

Published:2017-07-03 Issue:1 Volume:23 Page:537-553
ISSN:1360-2357
Container-title:Education and Information Technologies
language:en
Short-container-title:Educ Inf Technol

Author:

Bakhshinategh Behdad,Zaiane Osmar R.,ElAtia Samira,Ipperciel Donald

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Education

Link

http://link.springer.com/article/10.1007/s10639-017-9616-z/fulltext.html

Reference44 articles.

1. Agrawal, R., Gollapudi, S., Kannan, A., & Kenthapadi, K. (2014). Study navigator: An algorithmically generated aid for learning from electronic textbooks. JEDM-Journal of Educational Data Mining, 6(1), 53–75.

2. Alaofi, M., & Rumantir, G. (2015). Personalisation of generic library search results using student enrolment information. JEDM-Journal of Educational Data Mining, 7(3), 68–88.

3. Azarnoush, B., Bekki, J.M., Runger, G.C., Bernstein, B.L., & Atkinson, R.K. (2013). Toward a framework for learner segmentation. JEDM-Journal of Educational Data Mining, 5(2), 102–126.

4. Baker, RS, & Yacef, K (2009). The state of educational data mining in 2009: A review and future visions. JEDM-Journal of Educational Data Mining, 1(1), 3–17.

5. Bates, A.W. (2015). Teaching in a digital age: Guidelines for designing teaching and learning. Tony Bates Associates.

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