Design principles for learning analytics information systems in higher education

Autor: Don Sheridan, Andy Nguyen, Lesley A. Gardner, Tuure Tuunanen
Rok vydání: 2020
Předmět:
Zdroj: European Journal of Information Systems. 30:541-568
ISSN: 1476-9344
0960-085X
DOI: 10.1080/0960085x.2020.1816144
Popis: 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. peerReviewed
Databáze: OpenAIRE