Book

Innovative learning analytics for evaluating instruction : a big data roadmap to effective online learning

Frick, Theodore Wayne, 1948- author, Myers, Rodney Dean, author, Dagli, Cesur, author, Barrett, Andrew F., author

Overview

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.

• Publisher: Routledge
• Subject: Web-based instruction Evaluation. / Educational evaluation Data processing. / Educational evaluation Methodology. / Education Data processing. / Big data. / Évaluation en éducation Informatique. / Évaluation en éducation Méthodologie. / Éducation Informatique. / Données volumineuses.
• ISBN: 9781032000183, 103200018X, 9781032077352, 1032077352

Item info:

1 item available

1 item total in all locations

Holdings :

Call Number	Copies	Material	Location
LB1044.87 .F75 2022	1	BOOK	GENERAL