Learning designs and learning analytics

Citation data:

Proceedings of the 1st International Conference on Learning Analytics and Knowledge - LAK '11, Page: 153-156

Publication Year:
2011
Usage 241
Abstract Views 241
Captures 130
Readers 130
Citations 25
Citation Indexes 25
Repository URL:
http://ro.uow.edu.au/edupapers/1197; https://works.bepress.com/lori_lockyer/36
DOI:
10.1145/2090116.2090140
Author(s):
Lockyer, Lori; Dawson, Shane P
Publisher(s):
Association for Computing Machinery (ACM)
Tags:
Computer Science; Education
conference paper description
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. © 2011 ACM.