Helen Crompton - Böcker

Critical Mobile Pedagogy is an exploration of mobile technologies for designing and delivering equitable and empowering education around the globe. Synthesizing a diverse range of projects and conceptual frameworks, this case-based collection addresses the ambitions, assumptions, and impacts of interventions in under-researched, often disadvantaged communities.The editors and authors provide a nuanced and culturally responsive approach to showcasing: indigenous, nomadic, refugee, rural, and other marginalized communities emerging pedagogies such as curation, open resources, massive open online courses (MOOCs), and self-directed learning contextual factors, including pedagogy, ethics, scaling, research methodology and culture, and consequences of innocuous or harmful implementation and deployment the nature of participation by global capital, multinationals, education systems, international agencies, national governments, and telecoms companies.Scholars, academics, policymakers, and program managers are increasingly using mobile technologies to support disadvantaged or disempowered communities in learning more effectively and appropriately. This book’s diverse research precedents will help these and other stakeholders meet the challenges and opportunities of our complex, increasingly connected world and work with greater cultural and ethical sensitivity at the intersection of education, research, and technology.

Critical Mobile Pedagogy is an exploration of mobile technologies for designing and delivering equitable and empowering education around the globe. Synthesizing a diverse range of projects and conceptual frameworks, this case-based collection addresses the ambitions, assumptions, and impacts of interventions in under-researched, often disadvantaged communities.The editors and authors provide a nuanced and culturally responsive approach to showcasing: indigenous, nomadic, refugee, rural, and other marginalized communities emerging pedagogies such as curation, open resources, massive open online courses (MOOCs), and self-directed learning contextual factors, including pedagogy, ethics, scaling, research methodology and culture, and consequences of innocuous or harmful implementation and deployment the nature of participation by global capital, multinationals, education systems, international agencies, national governments, and telecoms companies.Scholars, academics, policymakers, and program managers are increasingly using mobile technologies to support disadvantaged or disempowered communities in learning more effectively and appropriately. This book’s diverse research precedents will help these and other stakeholders meet the challenges and opportunities of our complex, increasingly connected world and work with greater cultural and ethical sensitivity at the intersection of education, research, and technology.

Mobile Learning and Mathematics provides an overview of current research on how mobile devices are supporting mathematics educators in classrooms across the globe.Through nine case studies, chapter authors investigate the use of mobile technologies over a range of grade levels and mathematical topics, while connecting chapters provide a strong foundational background in mobile learning theories, instructional design, and learner support. For current educators, Mobile Learning and Mathematics provides concrete ideas and strategies for integrating mobile learning into their mathematics instruction—for example, by sharing resources that will help implement Common Core State Standards, or by streamlining the process of selecting from the competing and often confusing technology options currently available. A cutting edge research volume, this collection also provides a springboard for educational researchers to conduct further study.

Mobile Learning and Mathematics provides an overview of current research on how mobile devices are supporting mathematics educators in classrooms across the globe.Through nine case studies, chapter authors investigate the use of mobile technologies over a range of grade levels and mathematical topics, while connecting chapters provide a strong foundational background in mobile learning theories, instructional design, and learner support. For current educators, Mobile Learning and Mathematics provides concrete ideas and strategies for integrating mobile learning into their mathematics instruction—for example, by sharing resources that will help implement Common Core State Standards, or by streamlining the process of selecting from the competing and often confusing technology options currently available. A cutting edge research volume, this collection also provides a springboard for educational researchers to conduct further study.

Global Perspectives on Teaching with Technology presents a wealth of current research on how teacher education and training programs around the world are preparing teachers to integrate and apply learning technologies across subjects, grade levels, and regions. Digital tools are more integral than ever to an accessible and well-rounded education, although their rapid evolution and proliferation necessitate new guidance into their effective integration and intended outcomes. This book provides graduate students, faculty, and researchers of teacher education, as well as trainers of in-service teachers with field-tested frameworks, evidence-based theories and models, and real-world examples of the complexities and affordances of teaching with technology. Internationally sourced to reflect today's richly diverse and globalized learner populations, the case studies collected here offer fresh approaches for teacher educators and a springboard for education researchers studying how practitioners can thrive in their classrooms and foster equity among students.Chapter 16 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.

Global Perspectives on Teaching with Technology presents a wealth of current research on how teacher education and training programs around the world are preparing teachers to integrate and apply learning technologies across subjects, grade levels, and regions. Digital tools are more integral than ever to an accessible and well-rounded education, although their rapid evolution and proliferation necessitate new guidance into their effective integration and intended outcomes. This book provides graduate students, faculty, and researchers of teacher education, as well as trainers of in-service teachers with field-tested frameworks, evidence-based theories and models, and real-world examples of the complexities and affordances of teaching with technology. Internationally sourced to reflect today's richly diverse and globalized learner populations, the case studies collected here offer fresh approaches for teacher educators and a springboard for education researchers studying how practitioners can thrive in their classrooms and foster equity among students.Chapter 16 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.

Artificial Intelligence Applications in Higher Education offers direct examples of how artificial intelligence systems can be applied in today’s higher education contexts. As the use of AI rapidly advances within colleges and universities worldwide, there is a pressing need to showcase the challenges, opportunities, and ethical considerations that are inherent in deploying these advanced computational tools. This book highlights the multifaceted roles of AI across teaching and learning, institutional administration, student data management, and beyond. Its collected case studies furnish actionable insights into enhancing academic institutions and addressing diverse learning priorities, such as motivation, engagement, feedback, and achievement goals. This valuable reference for researchers, designers, administrators, teaching faculty, and graduate students across various university programs offers fresh perspectives on generative AI, adaptive learning, intelligent tutoring systems, chatbots, predictive technologies, remote learning, and more.

Artificial Intelligence Applications in K-12 offers authentic instances of how AI systems can be integrated into K-12 education today. As AI technologies rapidly evolve and become more accessible to primary, middle, and high schools worldwide, there is a pressing need for new demonstrations that highlight the challenges, opportunities, and ethical considerations associated with these powerful tools. This book explores the various roles of AI within pedagogy and assessment, school administration, student data management, and beyond. Its collected case studies present practical ideas for enhancing educational institutions and offer replicable approaches across a range of learning priorities, from fostering motivation and engagement to improving feedback and achieving educational goals. Researchers, faculty members of teacher and leadership preparation programs, curriculum and instruction specialists, school-based instructional designers, technology coaches, and other readers will gain fresh insights from diverse global perspectives on topics such as generative AI, adaptive learning, intelligent tutoring systems, chatbots, predictive technologies, facial recognition software, and more.

Artificial Intelligence Applications in Higher Education offers direct examples of how artificial intelligence systems can be applied in today’s higher education contexts. As the use of AI rapidly advances within colleges and universities worldwide, there is a pressing need to showcase the challenges, opportunities, and ethical considerations that are inherent in deploying these advanced computational tools. This book highlights the multifaceted roles of AI across teaching and learning, institutional administration, student data management, and beyond. Its collected case studies furnish actionable insights into enhancing academic institutions and addressing diverse learning priorities, such as motivation, engagement, feedback, and achievement goals. This valuable reference for researchers, designers, administrators, teaching faculty, and graduate students across various university programs offers fresh perspectives on generative AI, adaptive learning, intelligent tutoring systems, chatbots, predictive technologies, remote learning, and more.

Artificial Intelligence Applications in K-12 offers authentic instances of how AI systems can be integrated into K-12 education today. As AI technologies rapidly evolve and become more accessible to primary, middle, and high schools worldwide, there is a pressing need for new demonstrations that highlight the challenges, opportunities, and ethical considerations associated with these powerful tools. This book explores the various roles of AI within pedagogy and assessment, school administration, student data management, and beyond. Its collected case studies present practical ideas for enhancing educational institutions and offer replicable approaches across a range of learning priorities, from fostering motivation and engagement to improving feedback and achieving educational goals. Researchers, faculty members of teacher and leadership preparation programs, curriculum and instruction specialists, school-based instructional designers, technology coaches, and other readers will gain fresh insights from diverse global perspectives on topics such as generative AI, adaptive learning, intelligent tutoring systems, chatbots, predictive technologies, facial recognition software, and more.

Mobile Learning and Higher Education provides case studies of mobile learning in higher education settings to showcase how devices can transform learning at the undergraduate and graduate levels. With the rapid diffusion of networked technologies among the adult populations of many countries and the supersession of the once-ubiquitous lecture approach with active learner-centered teaching for deep understanding, mobile devices are increasingly used in higher education classrooms to offer unique and effective new approaches to teaching and learning. A cutting-edge research volume, this collection also provides a springboard for building better practices in higher education institutions.

Mobile Learning and Higher Education provides case studies of mobile learning in higher education settings to showcase how devices can transform learning at the undergraduate and graduate levels. With the rapid diffusion of networked technologies among the adult populations of many countries and the supersession of the once-ubiquitous lecture approach with active learner-centered teaching for deep understanding, mobile devices are increasingly used in higher education classrooms to offer unique and effective new approaches to teaching and learning. A cutting-edge research volume, this collection also provides a springboard for building better practices in higher education institutions.

In recent years, there has been a renewed focus on STEM education in the United States, fueled by evidence that young learners’ competencies in science, technology, engineering, and mathematics are falling behind those of their global peers.Scholars and practitioners are beginning to utilize the new pedagogical opportunities offered by mobile learning to improve the successes of teachers and K-12 students across STEM subjects. Mobile Learning and STEM: Case Studies in Practice is a comprehensive collection of case studies that explore mobile learning’s support of STEM subjects and that utilize mobile technology to facilitate unique and effective K-12 teaching and learning experiences. In addition to its focus on STEM achievement for researchers, this volume is a resource for teachers working to implement mobile learning initiatives into their classrooms.Mobile Learning and STEM also includes research that is applicable to classrooms in nations around the world, where few students from underrepresented racial and socioeconomic backgrounds are entering into STEM jobs. Concluding with a summary of its research and its implications to future scholarship and practice, this book is a springboard for practitioners, specialists, higher education instructors, and researchers who want to establish better practices in schools and raise student achievement in STEM subjects.