Innovative Learning Analytics for Evaluating Instruction A Big Data Roadmap to Effective Online Learning
Synopsis
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.Book details
- Author:
- Theodore W. Frick, Rodney D. Myers, Cesur Dagli, Andrew F. Barrett
- ISBN:
- 9781000454772
- Related ISBNs:
- 9781032077352, 9781003176343, 9781032000183
- Publisher:
- Taylor and Francis
- Pages:
- 132
- Reading age:
- Not specified
- Includes images:
- Yes
- Date of addition:
- 2023-12-19
- Usage restrictions:
- Copyright
- Copyright date:
- 2022
- Copyright by:
- Theodore W. Frick, Rodney D. Myers, Cesur Dagli and Andrew F. Barrett The right of Theodore W. Frick, Rodney D. Myers, Cesur Dagli and Andrew F. Barrett to be identified as authors of this work has been asserted by them in accordance with sections
- Adult content:
- No
- Language:
- English
- Categories:
- Computers and Internet, Education, Nonfiction, Technology