Commentary On “Theory-led design of instruments and representations in learning analytics: Developing a novel tool for orchestration of online collaborative learning”

Authors

DOI:

https://doi.org/10.18608/jla.2015.22.4

Keywords:

Learning analytics, scalability, theoretical perspectives, innovation

Abstract

This commentary reflects on the contributions to learning analytics and theory by a paper that describes how multiple theoretical frameworks were woven together to inform the creation of a new automated discourse analysis tool.  The commentary highlights the contributions of the original paper, provides some alternative approaches, and touches on issues of sustainability and scalability of learning analytics innovations.

Author Biography

Chris Teplovs, University of Michigan

Lead Developer, Digital Innovation Greenhouse

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Published

2015-12-07

How to Cite

Teplovs, C. (2015). Commentary On “Theory-led design of instruments and representations in learning analytics: Developing a novel tool for orchestration of online collaborative learning”. Journal of Learning Analytics, 2(2), 44-46. https://doi.org/10.18608/jla.2015.22.4

Issue

Section

Special Section: Learning Analytics and Learning Theory