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

Alan Dix

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

Work in Progress to be presented at L@S: Third Annual ACM Conference on Learning at Scale, April 25-26, 2016, The University of Edinburgh


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?

 

What is Scale? from Alan Dix

 

Challenges of Diversity

 

Challenges of Diversity from Alan Dix

 

Trace Analysis – early results

 

Trace Analysis - early results from Alan Dix

 

References

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  7. Heath, T., Singer, R., Shabir, N., Clarke, C., and Leavesley, J. Assembling and Applying an Education Graph based on Learning Resources in Universities. Proc. of the 2nd International Workshop on Learning and Education with the Web of Data (LiLe-2012), 2012. http://ceur-ws.org/Vol-840/
  8. Rienties, B. Leveraging the full value of learning analytics: The power of learning design. (keynote) LACE SoLAR Flare 2015, OU, Milton Keynes, UK (2015). http://www.slideshare.net/laceproject/leveraging-the-full-value-of-learning-analytics-the-power-of-learning-design
  9. UNESCO. Education: Gross enrolment ratio by level of education, UNESCO Institute of Statistics (accessed 7/1/2016) http://data.uis.unesco.org/index.aspx?queryid=142

 

 

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http://www.hcibook.com/alan/papers/LS2016/

Alan Dix 15/1/2016