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Innovative Learning Analytics for Evaluating Instruction: A Big Data Roadmap to Effective Online Learning

Innovative Learning Analytics for Evaluating Instruction: A Big Data Roadmap to Effective Online Learning

Écrit par
Theodore W. Frick
Professor Emeritus in the Department of Instructional Systems Technology in the School of Education at Indiana University Bloomington, USA.
Rodney D. Myers
Instructional Consultant in the School of Education at Indiana University Bloomington, USA.
Cesur Dagli
Research Analyst in the Office of Analytics & Institutional Effectiveness at Virginia Polytechnic Institute and State University, USA.
Andrew F. Barrett
Co-founder of ScaleLearning, Inc. and leads the Learning Technology team at Shopify, Inc., Canada
Publication date
2021
Book Review

Learning analytics is one of those developments much talked about and little used, at least in most institutions. Some are making extensive use of analytics, not simply for identifying students who appear to be struggling with their learning, but for improving learning designs. This team, which includes Andrew Barrett who leads the learning technology team at Shopify, looks at learning journeys and time as foundations for analyzing how students use their time and interact with online design. Their aim is to improve design by improving the fit between design and utilization. A refreshing approach, which shows promise.

Target Audience
Academic Administrators and Policy-Makers
Faculty and Instructors
Program, Course and Instructional Designers
Link to book
https://www.routledge.com/Innovative-Learning-Analytics-for-Evaluating-Instructi…
APA Citation

Frick, T. W., Myers, R.D., Dagli, C. and Barrett, A.F. (2021). Innovative learning analytics for evaluating instruction: A big data roadmap to effective online learning. New York: Routledge.

Sujets
Learning Analytics

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