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

Description: Innovative Learning Analytics for Evaluating Instruction by Theodore W. Frick, Rodney D. Myers, Cesur Dagli, Andrew F. Barrett Innovative Learning Analytics for Evaluating Instruction covers the application of a research methodology that uses big data to evaluate the effectiveness of online instruction. It is an ideal resource for faculty and professionals in instructional design, learning engineering, online learning, program evaluation, and research methods. FORMAT Paperback CONDITION Brand New Publisher Description 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 and quantitative methods. Offering conceptual and research overviews, design principles, historical examples, and more, this book demonstrates how APT can yield strong, easily generalizable empirical evidence through big data; help students succeed in their learning journeys; and document the extraordinary effectiveness of First Principles of Instruction. It is an ideal resource for faculty and professionals in instructional design, learning engineering, online learning, program evaluation, and research methods. Author 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 Table of Contents 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 Details ISBN1032077352 Author Andrew F. Barrett Pages 132 Publisher Taylor & Francis Ltd Year 2024 ISBN-13 9781032077352 Format Paperback Publication Date 2024-10-08 Imprint Routledge Subtitle A Big Data Roadmap to Effective Online Learning Place of Publication London Country of Publication United Kingdom Alternative 9781032000183 DEWEY 371.3344678 Illustrations 20 Tables, black and white; 20 Line drawings, black and white; 7 Halftones, black and white; 27 Illustrations, black and white Audience Tertiary & Higher Education UK Release Date 2024-10-08 ISBN-10 1032077352 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:161482085;

Price: 56.52 AUD

Location: Melbourne

End Time: 2024-11-16T01:33:57.000Z

Shipping Cost: 9.82 AUD