A review on learning analytics
by Yan Keung Hui; Lam For Kwok
International Journal of Innovation and Learning (IJIL), Vol. 25, No. 2, 2019

Abstract: Learning analytics is a new research stream developed from other previous related streams such as academic analytics and educational data mining. We conducted a literature review on recent publications related to data analytics in education in various journals and conferences. With the reference model proposed by Chatti et al (2012), we proposed a refined model by introducing the second layer elements to two out of the four dimensions and propose changes to the list of options of some dimensions. We then analysed publications of the initial three years (2014-2016) in the Journal of Learning Analytics based on the refined model. We discovered five trends in learning analytics applications including extending the data landscape to non-academic data and shifting of objectives and analysis methods. Finally, we proposed four future research directions in this area and rationalised the relationship between dimensions in the model.

Online publication date: Mon, 04-Feb-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Innovation and Learning (IJIL):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com