Rienties, Bart; Cross, Simon and Zdrahal, Zdenek
(2016).
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Abstract
Substantial progress in learning analytics research has been made in recent years to predict which groups of learners are at-risk. In this chapter we argue that the largest challenge for learning analytics research and practice still lies ahead of us: using learning analytics modelling, which types of interventions have a positive impact on learners’ Attitudes, Behaviour and Cognition (ABC). Two embedded case-studies in social science and science are discussed, whereby notions of evidence-based research are illustrated by scenarios (quasi-experimental, A/B-testing, RCT) to evaluate the impact of interventions. Finally, we discuss how a Learning Analytics Intervention and Evaluation Framework (LA-IEF) is currently being implemented at the Open University UK using principles of design-based research and evidence-based research.
| Item Type: | Book Section |
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| Copyright Holders: | 2016 Springer |
| ISBN: | 3-319-06520-3, 978-3-319-06520-5 |
| Academic Unit/School: | Learning Teaching and Innovation (LTI) > Institute of Educational Technology (IET) Learning Teaching and Innovation (LTI) Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi) Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Interdisciplinary Research Centre: | Centre for Research in Computing (CRC) |
| Item ID: | 45023 |
| Depositing User: | Bart Rienties |
| Date Deposited: | 22 Dec 2015 16:52 |
| Last Modified: | 17 Feb 2017 19:05 |
| URI: | http://oro.open.ac.uk/id/eprint/45023 |
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