Title: A review on learning analytics

Authors: Yan Keung Hui; Lam For Kwok

Addresses: Department of Computer Science, City University of Hong Kong, Tat Chee Avenue, Kowloon Tong, Kowloon, Hong Kong ' Department of Computer Science, City University of Hong Kong, Tat Chee Avenue, Kowloon Tong, Kowloon, Hong Kong

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.

Keywords: learning analytics; student success; student performance; intervention.

DOI: 10.1504/IJIL.2019.097673

International Journal of Innovation and Learning, 2019 Vol.25 No.2, pp.197 - 222

Available online: 26 Dec 2018 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article