A review on learning analytics
Yan Keung Hui and
Lam For Kwok
International Journal of Innovation and Learning, 2019, vol. 25, issue 2, 197-222
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. (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=97673 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijilea:v:25:y:2019:i:2:p:197-222
Access Statistics for this article
More articles in International Journal of Innovation and Learning from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().