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Cited by 934

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Handbook of Individual Differences, Learning, and Instruction

Jonassen, David H., Grabowski, Barbara L.·2012·Routledge eBooks

Abstract

Written for teachers, trainers, and instructional designers -- anyone who is responsible for designing or preparing instruction -- this book begins with one basic premise: individual differences mediate learning at all levels and in all situations. That is, some learners find it easier or more difficult to learn some skills or to learn from certain forms of instruction because they vary in terms of aptitude, cognitive styles, personality, or learning styles. This volume describes most of the major differences in a readable and accessible way and demonstrates how to design various forms of instruction and predict the ease with which learners will acquire different skills. Most books that discuss any learner differences focus on those that characterize special education populations, whereas this book focuses on normal learners. Designed as a handbook, this volume is structured to provide easy and consistent access to information and answers, and prescriptions and hypotheses. When definitive answers are not possible because there is no research documentation, the authors suggest theories designed to stimulate future research.

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Metadata

Authors
Jonassen, D. H., & Grabowski, B. L.
Venue
Routledge eBooks
Publisher
Routledge
Published
2012-12-06
OpenAlex
W1528273163
Cited by
934
References
0
FWCI
47.22
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: Handbook of Individual Differences, Learning, and Instruction. https://app.cochat.ai/papers/10.4324/9780203052860
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Jonassen, D. H., & Grabowski, B. L. (2012). Handbook of Individual Differences, Learning, and Instruction. Routledge eBooks. https://doi.org/10.4324/9780203052860

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.