A1 Journal article (refereed)
Design principles for learning analytics information systems in higher education (2021)
Nguyen, A., Tuunanen, T., Gardner, L., & Sheridan, D. (2021). Design principles for learning analytics information systems in higher education. European Journal of Information Systems, 30(5), 541-568. https://doi.org/10.1080/0960085x.2020.1816144
JYU authors or editors
Publication details
All authors or editors: Nguyen, Andy; Tuunanen, Tuure; Gardner, Lesley; Sheridan, Don
Journal or series: European Journal of Information Systems
ISSN: 0960-085X
eISSN: 1476-9344
Publication year: 2021
Volume: 30
Issue number: 5
Pages range: 541-568
Publisher: Taylor & Francis
Publication country: United Kingdom
Publication language: English
DOI: https://doi.org/10.1080/0960085x.2020.1816144
Publication open access: Openly available
Publication channel open access: Partially open access channel
Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/72275
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.
Keywords: higher education (teaching); learning; teaching and instruction; learning results; data systems
Free keywords: design science research; information systems; learning; teaching; higher education
Contributing organizations
Ministry reporting: Yes
Preliminary JUFO rating: 3
