Assessment of Educational Technology – serie

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.

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.

This book offers an in-depth exploration of explainable learner models, presenting theoretical foundations and practical applications in the context of educational AI. It aims to provide readers with a comprehensive understanding of how these models can enhance adaptive learning systems.Chapters cover a wide range of topics, including the development and optimization of explainable learner models, the integration of these models into adaptive learning systems, and their implications for educational equity. It also discusses the latest advancements in AI explainability techniques, such as pre-hoc and post-hoc explainability, and their application in intelligent tutoring systems. Lastly, the book provides practical examples and case studies to illustrate how explainable learner models can be implemented in real-world educational settings.This book is an essential resource for researchers, educators, and practitioners interested in the intersection of AI and education. It offers valuable insights for those looking to integrate explainable AI into their educational practices, as well as for policymakers focused on promoting equitable and transparent learning environments.

This book offers an in-depth exploration of explainable learner models, presenting theoretical foundations and practical applications in the context of educational AI. It aims to provide readers with a comprehensive understanding of how these models can enhance adaptive learning systems.Chapters cover a wide range of topics, including the development and optimization of explainable learner models, the integration of these models into adaptive learning systems, and their implications for educational equity. It also discusses the latest advancements in AI explainability techniques, such as pre-hoc and post-hoc explainability, and their application in intelligent tutoring systems. Lastly, the book provides practical examples and case studies to illustrate how explainable learner models can be implemented in real-world educational settings.This book is an essential resource for researchers, educators, and practitioners interested in the intersection of AI and education. It offers valuable insights for those looking to integrate explainable AI into their educational practices, as well as for policymakers focused on promoting equitable and transparent learning environments.

This book explores the fields of science, technology, engineering, and mathematics (STEM) through the lens of psychological, motivational, and technological forces that shape teaching and learning in a rapidly evolving educational landscape. The author discusses new and creative approaches to STEM education, offering valuable insights and practical solutions for fostering student engagement, building academic confidence, and preparing learners for technology-driven careers.Drawing on rigorous empirical research, including quantitative studies employing structural equation modeling and in-depth longitudinal case studies, the book illuminates the complex mechanisms that underlie STEM learning outcomes. Key findings reveal how student interest in mathematics influences coding motivation, how intrinsic coding interest shapes STEM career aspirations, and how emerging technologies such as virtual and augmented reality can transform science learning. The author also synthesizes insights from the literature to examine how technology can be leveraged to enhance educational delivery and student engagement, fostering more dynamic and interactive learning environments across STEM disciplines.One of the key highlights of this book is its unique blend of perspectives from teacher development, student motivation, and educational technology, providing a holistic understanding of the challenges and opportunities in contemporary STEM education. The inclusion of evidence-based strategies makes this book an invaluable resource for educators seeking to implement innovative approaches in their classrooms immediately. By bridging the gap between theory and practice, as well as between research and application, the author offers a comprehensive perspective for readers who need to understand the full spectrum of factors that drive successful STEM education.This book targets a key group in the education sector, including STEM educators, researchers, educational psychologists, and policymakers, with the aim of advancing STEM teaching and learning in a tech-driven era.

This book explores the fields of science, technology, engineering, and mathematics (STEM) through the lens of psychological, motivational, and technological forces that shape teaching and learning in a rapidly evolving educational landscape. The author discusses new and creative approaches to STEM education, offering valuable insights and practical solutions for fostering student engagement, building academic confidence, and preparing learners for technology-driven careers.Drawing on rigorous empirical research, including quantitative studies employing structural equation modeling and in-depth longitudinal case studies, the book illuminates the complex mechanisms that underlie STEM learning outcomes. Key findings reveal how student interest in mathematics influences coding motivation, how intrinsic coding interest shapes STEM career aspirations, and how emerging technologies such as virtual and augmented reality can transform science learning. The author also synthesizes insights from the literature to examine how technology can be leveraged to enhance educational delivery and student engagement, fostering more dynamic and interactive learning environments across STEM disciplines.One of the key highlights of this book is its unique blend of perspectives from teacher development, student motivation, and educational technology, providing a holistic understanding of the challenges and opportunities in contemporary STEM education. The inclusion of evidence-based strategies makes this book an invaluable resource for educators seeking to implement innovative approaches in their classrooms immediately. By bridging the gap between theory and practice, as well as between research and application, the author offers a comprehensive perspective for readers who need to understand the full spectrum of factors that drive successful STEM education.This book targets a key group in the education sector, including STEM educators, researchers, educational psychologists, and policymakers, with the aim of advancing STEM teaching and learning in a tech-driven era.

This book explores the potential of the metaverse to transform education. The authors connect rigorous theory with practical applications to provide educators, researchers, and policymakers with useful insights to design and implement immersive learning experiences.Based on contemporary educational learning theories such as constructivism, connectivism, and situated learning, the reader learns the appropriate strategies to create suitable instructional designs for different virtual learning environments. The authors cover topics about teaching methods like gamification, immersive learning, and collaborative learning within the metaverse. Such an emphasis allows the reader to consider a variety of innovative teaching strategies and approaches for metaverse environments to better enhance student engagement and improve learning experiences. In this book, the reader learns about the frameworks to create immersive learning experiences and collaborative learning paths that address varying student needs and engagement levels. It also offers assessment methods and comprehensive resources that provide practical instructions for virtual environments, supporting the reader’s professional development by increasing their technological competencies. These methods and tools for assessing learning environments, social interactions, and learning outcomes within the metaverse offer a foundation for evaluation in metaverse learning settings. Drawing from research and real-world implementations, the book presents detailed case studies of metaverse education projects. These case studies offer insights into best practices, challenges faced, and lessons learned, serving as practical references for implementation.This book is a valuable resource for educators, researchers, policymakers, and educational technology professionals. The encompassing nature of the book allows for a comprehensive study by all in the education practice as they progress to understand the metaverse technologies in education.