Design principles for learning analytics information systems in higher education
Autor: | Don Sheridan, Andy Nguyen, Lesley A. Gardner, Tuure Tuunanen |
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Rok vydání: | 2020 |
Předmět: |
Design Science Research
oppiminen Higher education Computer science business.industry Learning analytics Design elements and principles Higher Education Library and Information Sciences oppimistulokset opetus Data science Learning Analytics korkeakouluopetus Set (abstract data type) ComputingMilieux_COMPUTERSANDEDUCATION Information system Design science research business tietojärjestelmät Information Systems |
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 |
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