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 Название: Data Analytics and Adaptive Learning: Research Perspectives
Автор: Patsy D. Moskal, Charles D. Dziuban, Anthony G. Picciano
Издательство: Routledge
Год: 2024
Страниц: 364
Язык: английский
Формат: pdf (true)
Размер: 21.6 MB
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.
“This book shines a spotlight on the potential for data analytics, adaptive learning, and big data to transform higher education. The volume lights the way for those brave enough to embrace a new paradigm of teaching and learning that enacts a more equitable and person-centered experience for all learners.” - Paige McDonald, Associate Professor and Vice Chair, Department of Clinical Research and Leadership, The George Washington School of Medicine and Health Sciences
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Data Analytics and Adaptive Learning: Research Perspectives 
