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Learning at Scale: Using an Evidence Hub To Make Sense of What We Know

Ferguson, Rebecca (2016). Learning at Scale: Using an Evidence Hub To Make Sense of What We Know. In: L@S '16 Proceedings of the Third (2016) ACM Conference on Learning @ Scale, ACM, New York.

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Abstract

The large datasets produced by learning at scale, and the need for ways of dealing with high learner/educator ratios, mean that MOOCs and related environments are frequently used for the deployment and development of learning analytics. Despite the current proliferation of analytics, there is as yet relatively little hard evidence of their effectiveness. The Evidence Hub developed by the Learning Analytics Community Exchange (LACE) provides a way of collating and filtering the available evidence in order to support the use of analytics and to target future studies to fill the gaps in our knowledge.

Item Type: Conference or Workshop Item
Copyright Holders: 2016 The Author
Project Funding Details:
Funded Project NameProject IDFunding Body
Learning Analytics Community Exchange (H-13-001-DC)619424EC (European Commission): FP (inc.Horizon2020, ERC schemes)
Keywords: Ethics; evidence; Evidence Hub; learning; learning analytics; teaching
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: 46161
Depositing User: Rebecca Ferguson
Date Deposited: 29 Apr 2016 10:13
Last Modified: 07 Feb 2017 11:01
URI: http://oro.open.ac.uk/id/eprint/46161
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