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

1st Edition

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

By Theodore W. Frick, Rodney D. Myers, Cesur Dagli, Andrew F. Barrett Copyright 2022
154 Pages 27 B/W Illustrations
by Routledge

154 Pages 27 B/W Illustrations
by Routledge

154 Pages 27 B/W Illustrations
by Routledge
Also available as eBook on:
Innovative Learning Analytics for Evaluating Instruction covers the application of a forward-thinking research methodology that uses big data to evaluate the effectiveness of online instruction. Analysis of Patterns in Time (APT) is a practical analytic approach that finds meaningful patterns in massive data sets, capturing temporal maps of students’ learning journeys by combining qualitative... Read more

1. Learning Journeys in Education 2. Overview of the Big Study 3. The Indiana University Plagiarism Tutorials and Tests 4. More Details of the Big Study 5. Analysis of Patterns in Time as a Research Methodology 6. Using Analysis of Patterns in Time for Formative Evaluation of a Learning Design 7. Analysis of Patterns in Time with Teaching and Learning Quality Surveys 8. Analysis of Patterns in Time as an Alternative to Traditional Approaches

Biography

Theodore W. Frick is Professor Emeritus in the Department of Instructional Systems Technology in the School of Education at Indiana University Bloomington, USA.

Rodney D. Myers is Instructional Consultant in the School of Education at Indiana University Bloomington, USA.

Cesur Dagli is Research Analyst in the Office of Analytics & Institutional Effectiveness at Virginia Polytechnic Institute and State University, USA.

Andrew F. Barrett is Co-founder of ScaleLearning, Inc. and leads the Learning Technology team at Shopify, Inc., Canada

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