Handbook of Personalized Learning

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adaptive learning
adaptivity in serious games
AI
Alyssa Emery
artificial intelligence
Candace Walkington
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cognitive development theory
culturally responsive pedagogy
digital learning environments
digital portfolios
educational data mining
educational equity strategies
Educational Psychology Handbook
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Generalized Intelligent Framework for Tutors
Handbook of Personalized Learning
human cognition
human intelligence
human-computer interaction
inclusive learning
learner autonomy
learner choice
learning analytics
learning sciences
Ling Zhang
machine learning
Matthew L. Bernacki
motivation in learning
natural language processing
Patricia A. Alexander
personalized digital learning models
personalized instruction
project-based instruction
self-determination theory
student identity
technology-enhanced learning

Product details

  • ISBN 9781032719443
  • Weight: 900g
  • Dimensions: 178 x 254mm
  • Publication Date: 26 Nov 2025
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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The Handbook of Personalized Learning offers a theoretically grounded conceptualization for the development and implementation of personalizing learning. This comprehensive volume addresses personalized learning’s roots in educational, cognitive, and social psychological studies of learning as well as in practice. Positioned to shape the future of personalized learning, this handbook documents past innovations achieved in educational technology research and development; considers how advancements in learning analytics and machine learning have influenced policy and implementation; and showcases current and future applications of personalized learning in diverse K-12 classrooms, higher education, and informal educational settings. The book’s varied, rigorous contributions are informed by an overarching model of personalized learning that centers the assets individuals bring to learning opportunities (including their prior knowledge, interests, self-beliefs, autonomy, and identity) and whose responsive designs build on those assets to improve learning and attainment. Researchers, developers, teaching faculty, and graduate students across educational psychology, educational technology, the learning sciences, learning analytics, human-computer interaction, and beyond will come away with substantive foundations and cutting-edge exemplars of the ways in which designs can be personalized to promote learners’ experiences in educational settings.

Chapter 25 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC BY-NC-ND) 4.0 license.

Matthew L. Bernacki is Associate Professor of Learning Sciences and Psychological Studies and Kinnard White Endowed Scholar in the School of Education at the University of North Carolina at Chapel Hill, USA.

Candace Walkington is Professor of Mathematics Education and the Annette and Harold Simmons Centennial Chair in the Department of Teaching and Learning at Southern Methodist University, USA.

Alyssa Emery is Assistant Professor of Learning Sciences in the School of Education at Iowa State University, USA.

Ling Zhang is Assistant Professor of Special Education in the College of Education at the University of Wyoming, USA.