Challenge and Potential of Fine Grain, Cross-Institutional Learning Data

Alan Dix

Talis, Birmingham, UK
and School of Computer Science, University of Birmingham

Abstract

While MOOCs and other forms of large-scale learning are of growing importance, the vast majority of tertiary students still study in traditional face-to-face settings.  This paper examines some of the challenges in attempting to apply the benefits of large-scale learning to these settings, building on a growing repository of cross-institutional data.

Keywords: learning analytics, education technology, reading lists, MOOC, OER.

What is Scale?

Challenges of Diversity

Trace Analysis – early results

References

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Alan Dix 15/1/2016