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Empirically Based Ingredients to Guide Instructional Development

"From Principles of Learning to Strategies for Instruction" was published by Springer London, Limited in 2006 - United States - New York, NY, it has 230 pages and the language of the book is English.


“From Principles of Learning to Strategies for Instruction” Metadata:

  • Title: ➤  From Principles of Learning to Strategies for Instruction
  • Authors:
  • Language: English
  • Number of Pages: 230
  • Publisher: Springer London, Limited
  • Publish Date:
  • Publish Location: United States - New York, NY
  • Dewey Decimal Classification: 370.15/23
  • Library of Congress Classification: L1-991LB1028.38 .S45 2005

“From Principles of Learning to Strategies for Instruction” Subjects and Themes:

Edition Specifications:

  • Number of Pages: 1 online resource (257 p.)
  • Pagination: xxvi, 230

Edition Identifiers:

AI-generated Review of “From Principles of Learning to Strategies for Instruction”:


"From Principles of Learning to Strategies for Instruction" Description:

Harvard Library:

The purpose of this volume is to help educators and training developers to improve the quality of their instruction. Unlike other books, which have appeared so far, this volume is not limited to a particular theoretical position. Nor is it like many of the instructional design texts, which ignore the learning literature. Rather, it draws upon any and all of those research-based principles regardless of learning theory, which suggest heuristics to guide instructional strategies. The approach of the authors is unique in that they develop a framework or model taxonomy for tasks, through which the principles of learning can be related to particular learning processes, suggesting distinctive strategies for specific instructional tasks. The authors present a four-stage model that includes Acquisition, Automaticity, Near Term Transfer, and Far Term Transfer. The book is a practical guide for developing instructional strategies across the four principal domains, cognitive, affective, psychomotor, and interpersonal; and is backed by empirically supported learning principles. It is useful both to the experienced as well as the novice developer (e.g. the student). "The current volume strikes a nice balance between theory and practice and provides a straightforward model of instruction that is easily connected with relevant research but equally easy to apply to instructional development projects… The detailed treatment of the interpersonal domain and the emphasis on technology integration clearly distinguish the book as a modern treatment of instructional development that goes well beyond traditional instructional system development models… Therefore, this volume should provide a well-grounded and useful tool for instructional developers." From the Preface by Michael Spector, Florida State University. "This book represents a major milestone in the literature on learning because it brings togetherresearch from the fields of psychology, education, and the training in a format which is highly useful to practitioners. It will be very valuable to teachers, trainers, students, and researchers alike." Greg Kearsley, University of Wisconsin, Madison and, UMUC, University of Maryland.

Open Data:

The purpose of this volume is to help educators and training developers to improve the quality of their instruction. Unlike other books, which have appeared so far, this volume is not limited to a particular theoretical position. Nor is it like many of the instructional design texts, which ignore the learning literature. Rather, it draws upon any and all of those research-based principles regardless of learning theory, which suggest heuristics to guide instructional strategies. The approach of the authors is unique in that they develop a framework or model taxonomy for tasks, through which the principles of learning can be related to particular learning processes, suggesting distinctive strategies for specific instructional tasks. The authors present a four-stage model that includes acquisition, automaticity, near term transfer, and far term transfer

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