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Artificial Intelligence and Learning Futures: Critical Narratives of Technology and Imagination in Higher Education explores the implications of artificial intelligence’s adoption in higher education and the challenges to building sustainable instead of dystopic schooling. As AI becomes integral to both pedagogy and profitability in today’s colleges and universities, a critical discourse on these systems and algorithms is urgently needed to push back against their potential to enable surveillance, control, and oppression. This book examines the development, risks, and opportunities inherent to AI in education and curriculum design, the problematic ideological assumptions of intelligence and technology, and the evidence base and ethical imagination required to responsibly implement these learning technologies in a way that ensures quality and sustainability. Leaders, administrators, and faculty as well as technologists and designers will find these provocative and accessible ideas profoundly applicable to their research, decision-making, and concerns.
The Quarterly Review of Distance Education is a rigorously refereed journal publishing articles, research briefs, reviews, and editorials dealing with the theories, research, and practices of distance education. The Quarterly Review publishes articles that utilize various methodologies that permit generalizable results which help guide the practice of the field of distance education in the public and private sectors. The Quarterly Review publishes full-length manuscripts as well as research briefs, editorials, reviews of programs and scholarly works, and columns. The Quarterly Review defines distance education as institutionally based, formal education, where the learning group is separated and where interactive technologies are used to unite the learning group.
Against a background of increasing inequality and a rising tide of nationalism and populism, this book raises concerns that curriculum is being shaped by powerful non-academic, non-accountable forces and that populism – and its manifestations – represent a grave challenge to learning. It explores the extent to which curriculum and learning methods in higher education should respond to this challenge. Using problem based learning as a case study it draws on crossdisciplinary studies to examine how regional, national and organizational perspectives emphasize different aspects of PBL. It questions whether PBL provides an effective response to external influences and a ‘populist’ highereducation agenda. In conclusion the book poses an uncomfortable question whether graduates reflect the external forces shaping curriculum and hence may be as vulnerable to populist rhetoric as non-graduates precisely because the curriculum and learning methods do not engage with the challenges. This book will appeal to scholars of problem based learning, as well as populism and therole of higher education in society.
AI tutors are at the forefront of a new era in personalized learning, offering tailored educational experiences that adapt to each student's unique needs and learning style. With the advancement of artificial intelligence, these systems simulate one-on-one tutoring and identifying learning gaps with remarkable precision. This emerging frontier holds the promise of transforming traditional education models, making learning more engaging and accessible. As cognitive tutors become increasingly sophisticated, they challenge educators and policymakers to rethink the roles of technology. AI-Powered Cognitive Tutors and the New Frontier of Personalized Learning explore the role of AI tutors and how they have transformed personalized learning. This book explores the mechanics and pedagogical outcomes of cognitive tutoring systems. Covering topics such as personalized learning, AI, and tutoring, this book is an excellent resource for educational researchers, tech developers, policy makers, education administrators, teachers, and graduate students.
To some in academia, Massive Open Online Courses are a paradigm shift in online education, while others perceive them as a threat to traditional styles of pedagogy. In this regard, the time-honored model of the university lecture is seen as being a potential casualty of the rise of MOOCs. Macro-Level Learning through Massive Open Online Courses (MOOCs): Strategies and Predictions for the Future provides insight into the emerging phenomenon of MOOCs as a design manual for the course designer with a collection of chapters that deal with all facets of the MOOC debate. Industry training developers, corporate trainers, educators, post graduate students, and others will benefit from the information provided in this book.
This handbook provides a frame of reference for the global challenges facing higher education leadership today. Focusing on recommendations and directions for the future rather than simply a recap of measures taken during the COVID-19 pandemic, the contributors also delve into contexts such as the climate crisis, issues of diversity, equity and inclusion, digitalisation, funding and marketisation, the war in Ukraine and China-Taiwan and Hong Kong tensions. They collate a systematic, global view of higher education systems during the pandemic and beyond, and explore possibilities for the future, providing recommendations for ‘the new normal’. With contributions from across six continents, the book will be of interest to students and scholars of higher education and governance, university leaders, government and accreditation bodies, and anyone else interested in reflecting on the past few years in higher education and the road ahead.
This series of essays has been collected expressly to bring readers new ideas about imagination and creativity in education that will both stimulate discussion and debate and also contribute practical ideas for how to infuse our daily classrooms with imaginative ideas.
This book highlights some of the national and global agendas and issues, from emerging sectors, to the meaning of student engagement for different stakeholders. It provides a backdrop to themes of student engagement as well as examples of innovative and inspiring means of engaging with students in practice, empowering them to take responsibility wi
This timely Handbook highlights the practical challenges and ethical considerations surrounding artificial intelligence (AI) in higher education. An international array of experts pair empirical research with real-world examples of AI implementation in teaching, learning, assessment, and administration.