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Innovative Learning Analytics for Evaluating Instruction
- A Big Data Roadmap to Effective Online Learning
Engelsk
Bogcover for Innovative Learning Analytics for Evaluating Instruction af Cesur Dagli, Andrew F. Barrett, Theodore W. Frick, Rodney D. Myers, 9781032000183
Specifikationer
Sprog:
Engelsk
Sider:
132
ISBN-13:
9781032000183
Indbinding:
Hardback
ISBN-10:
103200018X
Udg. Dato:
20 jul 2021
Størrelse i cm:
14,3 x 22,4 x 1,6
Oplagsdato:
20 jul 2021

Innovative Learning Analytics for Evaluating Instruction

- A Big Data Roadmap to Effective Online Learning
Engelsk
Hardback 2021
Format:

Bog beskrivelse

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.

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Specifikationer
Sprog:
Engelsk
Sider:
132
ISBN-13:
9781032000183
Indbinding:
Hardback
ISBN-10:
103200018X
Udg. Dato:
20 jul 2021
Størrelse i cm:
14,3 x 22,4 x 1,6
Oplagsdato:
20 jul 2021
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