Title

Learning designs and learning analytics

RIS ID

45670

Publication Details

Lockyer, L. & Dawson, S. (2011). Learning designs and learning analytics. In P. Long, G. Siemens, G. Conole & D. Gas¿evic¿ (Eds.), Proceedings of the 1st International Conference on Learning Analytics and Knowledge (pp. 153-156). New York, NY, USA: ACM.

Abstract

Government and institutionally-driven reforms focused on quality teaching and learning in universities emphasize the importance of developing replicable, scalable teaching approaches that can be evaluated. In this context, learning design and learning analytics are two fields of research that may help university teachers design quality learning experiences for their students, evaluate how students are learning within that intended learning context and support personalized learning experiences for students. Learning Designs are ways of describing an educational experience such that it can be applied across a range of disciplinary contexts. Learning analytics offers new approaches to investigating the data associated with a learner's experience. This paper explores the relationship between learning designs and learning analytics.

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Link to publisher version (DOI)

http://dx.doi.org/10.1145/2090116.2090140