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Where is the evidence? A call to action for learning analytics

Ferguson, Rebecca and Clow, Doug (2017). Where is the evidence? A call to action for learning analytics. In: LAK '17 Proceedings of the Seventh International Learning Analytics & Knowledge Conference, ACM International Conference Proceeding Series, ACM, New York, USA, pp. 56–65.

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URL: http://dl.acm.org/citation.cfm?id=3027396
DOI (Digital Object Identifier) Link: https://doi.org/10.1145/3027385.3027396
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Abstract

Where is the evidence for learning analytics? In particular, where is the evidence that it improves learning in practice? Can we rely on it? Currently, there are vigorous debates about the quality of research evidence in medicine and psychology, with particular issues around statistical good practice, the 'file drawer effect', and ways in which incentives for stakeholders in the research process reward the quantity of research produced rather than the quality. In this paper, we present the Learning Analytics Community Exchange (LACE) project's Evidence Hub, an effort to relate research evidence in learning analytics to four propositions about learning analytics: whether they support learning, support teaching, are deployed widely, and are used ethically. Surprisingly little evidence in this strong, specific sense was found, and very little was negative (7%, N=123), suggesting that learning analytics is not immune from the pressures in other areas. We explore the evidence in one particular area in detail (whether learning analytics improve teaching and learners support in the university sector), and set out some of the weaknesses of the evidence available. We conclude that there is considerable scope for improving the evidence base for learning analytics, and set out some suggestions of ways for various stakeholders to achieve this.

Item Type: Conference or Workshop Item
Copyright Holders: 2017 The Author(s)
ISBN: 1-4503-4870-X, 978-1-4503-4870-6
Project Funding Details:
Funded Project NameProject IDFunding Body
Learning Analytics Community Exchange (H-13-001-DC)619424European Union FP7
Keywords: Access; Ethics; Evidence; Evidence Hub; Generalisability; Learning Analytics Cycle; Reliability; Validity
Academic Unit/School: Learning Teaching and Innovation (LTI) > Institute of Educational Technology (IET)
Learning Teaching and Innovation (LTI)
Interdisciplinary Research Centre: Centre for Research in Education and Educational Technology (CREET)
Item ID: 48992
Depositing User: Rebecca Ferguson
Date Deposited: 23 Mar 2017 15:46
Last Modified: 23 Mar 2017 18:07
URI: http://oro.open.ac.uk/id/eprint/48992
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