Taylor & Francis Ltd Paperback English
Creating Design Knowledge in Educational Innovation
Theory, Methods, and Practice
Edited by Dwayne Ripley
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Examining how research-informed design knowledge is created, represented, and used in educational research and innovation projects, this book offers theoretical, methodological, and practical guidance on how to (and how not to) create, represent, and (re)use research-informed design principles. The chapters explore how educational researchers, designers, teachers, and other innovating practitioners can make outcomes of educational research and innovation projects scalable, readily applicable in educational design, and impactful on practice. They offer methodological "know-how" that is theoretically robust and grounded in research and design experiences. Providing critical reflection on current theories, methods, and practices, this book also considers directions for the future in light of developments in semantic web technologies, AI, and other emerging technologies. This book is a helpful guide for researchers, research students, and innovation designers who aim to produce and apply design knowledge that is robust, grounded in research, and practically useful as a part of diverse research and innovation projects.
Examining how research-informed design knowledge is created, represented, and used in educational research and innovation projects, this book offers theoretical, methodological, and practical guidance on how to (and how not to) create, represent, and (re)use research-informed design principles.
The chapters explore how educational researchers, designers, teachers, and other innovating practitioners can make outcomes of educational research and innovation projects scalable, readily applicable in educational design, and impactful on practice. They offer methodological "know-how" that is theoretically robust and grounded in research and design experiences. Providing critical reflection on current theories, methods, and practices, this book also considers directions for the future in light of developments in semantic web technologies, AI, and other emerging technologies.
This book is a helpful guide for researchers, research students, and innovation designers who aim to produce and apply design knowledge that is robust, grounded in research, and practically useful as a part of diverse research and innovation projects.