Data Analytics and Adaptive Learning: Research Perspectives

Publication date
2023

Edited by

Patsy D. Moskal Director of the Digital Learning Impact Evaluation in the Research Initiative for Teaching Effectiveness at the University of Central Florida, USA

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Charles D. Dziuban Director of the Research Initiative for Teaching Effectiveness at the University of Central Florida, USA

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Anthony G. Picciano Professor of Education Leadership at Hunter College and Professor in the PhD program in Urban Education at the City University of New York Graduate Center, USA

Link to book

https://www.routledge.com/Data-Analytics-and-Adaptive-Learning-Research-Perspectives/Moskal-Dziuban-Picciano/p/book/9781032154701

Book Review

How can instructors and instructional designers leverage analytics to improve the design and development of learning resources and enable more adaptive learning? That is the underlying question in these 17 research-rich chapters. As more and more LMS systems enable adaptive learning designs, this collection of papers will help course creators know what data to look for and how to use it to make their adaptive designs effective. Full of practical studies and research summaries, the book should be compulsory reading for anyone engaged in instructional design and course development.

APA Citation

Moskai, P.D., Dziban, C.D. and Picciano, A.G. [Eds.).] (2023). Data analytics and adaptive learning: Research perspectives. New York: Routledge.

Target Audiences
Program, Course and Instructional Designers

Topics
Adaptive Learning
Learning Analytics
Learning Design