Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/15306
Title: The Divergence of Learning Analytics Research
Authors: Nur Maisarah Shahril Khuzairi 
Zaihisma Che Cob 
Keywords: Learning Analytics
Pedagogy
Issue Date: Apr-2020
Journal: International Journal of Advanced Science and Technology 
Abstract: This study represents a review of Learning Analytics journals with the goal to examine reported research objectives, educational data collected and the intended end-user of the corresponding analysed data proposed by all current studies available in relevant databases. A total of 62 research articles were selected from an initial accumulation of 373 papers for this review. The findings present a clear divergence of Learning Analytics research into distinct subsets and it is revealed that the term “Learning Analytics” is labelled indiscriminately. We then show how a categorization of research subsets will prompt a reduction of term sprawl and also to avert confusion in the current education research environment. With this key points above we offer an approach to classify future Learning Analytics research into three specific subsets (student-centric, teacher-centric and institution-centric) based on identifiable criteria with the goal of fostering new avenues for future ground breaking research works in education.
URI: http://dspace.uniten.edu.my/jspui/handle/123456789/15306
Appears in Collections:UNITEN Scholarly Publication

Files in This Item:
File Description SizeFormat 
The Divergence of Learning Analytics Research.pdf501.57 kBAdobe PDFView/Open
Show full item record

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.