Diane Burke – författare

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.