Design principles for learning analytics information systems in higher education
Nguyen, Andy; Tuunanen, Tuure; Gardner, Lesley; Sheridan, Don (2021-10-18)
Andy Nguyen, Tuure Tuunanen, Lesley Gardner & Don Sheridan (2021) Design principles for learning analytics information systems in higher education, European Journal of Information Systems, 30:5, 541-568, DOI: https://doi.org/10.1080/0960085X.2020.1816144
© 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
https://creativecommons.org/licenses/by-nc-nd/4.0/
https://urn.fi/URN:NBN:fi-fe2021110854330
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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.
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