Navigating Digital Transformation: The Dynamics of Educational Technology Adoption

Author:   Longwei Zheng
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032944067


Pages:   188
Publication Date:   06 August 2025
Format:   Paperback
Availability:   Not yet available   Availability explained
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Navigating Digital Transformation: The Dynamics of Educational Technology Adoption


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Overview

This book explores the process of educators’ technology adoption, which is crucial for digital transformation in today's educational landscape. It is based on rigorous research which highlights the dynamics of technology adoption, the evolution of institutional culture, and the development of digital artifacts as educators navigate the incorporation of educational technology. Through a thorough analysis of the complex factors influencing technology adoption, the book seeks to bridge theory and practice, technology and teaching methods, policy, and execution, to promote more effective and meaningful educational innovation and transformation. This book confronts the challenges within this field by illustrating the development process of teachers' technology adoption. It introduces novel representations and analytics of technology adoption dynamics, offering new insights into the mechanisms behind teachers' technological understanding beyond mere self-reported acceptance. Through a thorough analysis of the complex factors influencing technology adoption, the book seeks to bridge theory and practice, technology and teaching methods, policy, and execution, to promote more effective and meaningful educational innovation and transformation. To study the short- and long-term effects that may improve the assessment of interventions, the author proposes a dynamic model. The reader is also introduced to a framework based on a downscaling scheme that can project cultural factors of the institution onto a teacher’s implementation behaviour. The book further considers navigating through technological integration by inspecting technology-related quality of teaching artifacts. It considers patterns of integrating digital tools and teaching practice that can be identified by examining the technology-specific quality of digital artifacts shaped by teachers. This book targets several key groups in the education sector, including educators, researchers, policymakers, and educational technology professionals. The author shares the knowledge to support the integration of technology and transformation in education by providing interdisciplinary perspectives and practical strategies.

Full Product Details

Author:   Longwei Zheng
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Weight:   0.453kg
ISBN:  

9781032944067


ISBN 10:   1032944064
Pages:   188
Publication Date:   06 August 2025
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

1 Technology Adoption in Education 2 Exploring the Dynamics of Teachers’ Technology Adoption through a Longitudinal Lens 3 Dynamics of Institutional Culture in Educational Technology Adoption 4 Technology Adoption in the Post-Epidemic Age 5 The Evolution of Teaching Artifacts 6 Implications for Educational Practice Appendix A. Non-Homogeneous Hidden Markov Model for Teachers’ Technology Adoption Dynamics Appendix B. The Down-Scaling Non-Homogeneous Hidden Markov Model for Institutional Culture Transformation Appendix C. A modeling approach that allows transitions between non-adjacent states. Appendix D. Assessing Digital Teaching Artifact across Pandemic Phases Appendix E. The Downloadable Codes of Artifact Measurement

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Author Information

Longwei Zheng is currently an Associate Professor at the School of Education, City University of Macau. His research interests include learning analytics, teaching analytics, and educational data mining.

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