Data Analytics and Adaptive Learning: Research Perspectives

Patsy D. Moskal, Charles D. Dziuban, Anthony G. Picciano

★ 5.0 · 115 reads

Data Analytics and Adaptive Learning offers new insights into the use of emerging data analysis and adaptive techniques in multiple learning settings. In recent years, both analytics and adaptive learning have helped educators become more responsive to learners in virtual, blended, and personalized environments. This set of rich, illuminating, international studies spans quantitative, qualitative, and mixed-methods research in higher education, K–12, and adult/continuing education contexts. By exploring the issues of definition and pedagogical practice that permeate teaching and learning and concluding with recommendations for the future research and practice necessary to support educators at all levels, this book will prepare researchers, developers, and graduate students of instructional technology to produce evidence for the benefits and challenges of data-driven learning.

Request Code
ZLIBIO3773027
Published
2023
Publisher
Routledge
Pages
362
Language
English
Format
PDF
ISBN-13
9781032154701
ISBN-10
1032154705