Design principles for learning analytics information systems in higher education
Andy Nguyen,
Tuure Tuunanen,
Lesley Gardner and
Don Sheridan
European Journal of Information Systems, 2021, vol. 30, issue 5, 541-568
Abstract:
This paper reports a design science research (DSR) study that develops, demonstrates and evaluates a set of design principles for information systems (IS) that utilise learning analytics to support learning and teaching in higher education. The initial set of design principles is created from theory-inspired conceptualisation based on the literature, and they are evaluated and revised through a DSR process of demonstration and evaluation. We evaluated the developed artefact in four courses with a total enrolment of 1,173 students. The developed design principles for learning analytics information systems (LAIS) to establish a foundation for further development and implementation of learning analytics to support learning and teaching in higher education.
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/0960085X.2020.1816144 (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:taf:tjisxx:v:30:y:2021:i:5:p:541-568
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjis20
DOI: 10.1080/0960085X.2020.1816144
Access Statistics for this article
European Journal of Information Systems is currently edited by Par Agerfalk
More articles in European Journal of Information Systems from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().