Trust and Inclusion in AI-Mediated Education: Where Human Learning Meets Learning Machines is a resource for researchers and practitioners in a field where the mainstreaming of AI technologies, and their increased capacities for deception, have produced confusion and fear. Identifying theoretical frameworks and practices in teaching with and training trustworthy and inclusive AI technology sheds light on the new challenges and opportunities for learning machines and their intersections with human learning. The book looks into the history of developing AI technology and algorithms. It offers theoretical models for best practices, interpretation, and evaluation, taking into account especially the needs of contemporary learners and their advanced literacies in cyber-social environments. The book presents in-depth analyses of recent and ongoing applications of state-of-the-art AI technologies in learning environments and classrooms assessments, ending with an interview with George Ritzer on McDonaldization and Artificial Intelligence.

This book offers a multimodal perspective on how to design meaningful learning experiences with digital technologies. Digital education is of increasing importance in today’s digital society and the editors bring together international thought-leaders and well-established academics across geographical regions to explore the topic. The book addresses the need to design learning with digital technologies, especially in a post-pandemic environment where blended learning has become ubiquitous. The book is organised around five themes: designing learning, digital learning designs, digital learning with embodied teaching, digital learning interactions, and digital multimodal literacies. The chapters focus on digital technologies as multimodal semiotic resources and the educational implication of each theme is drawn out from illustrative cases across contexts of learning. Essential reading for researchers and postgraduate students, this book offers state-of-the-art thinking on how educators can design new learning experiences for students through the meaningful and effective use of digital technologies. Chapter 1 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 (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]

This book brings together the fields of artificial intelligence (often known as A.I.) and inclusive education in order to speculate on the future of teaching and learning in increasingly diverse social, cultural, emotional, and linguistic educational contexts. This book addresses a pressing need to understand how future educational practices can promote equity and equality, while at the same time adopting A.I. systems that are oriented towards automation, standardisation and efficiency. The contributions in this edited volume appeal to scholars and students with an interest in forming a critical understanding of the development of A.I. for education, as well as an interest in how the processes of inclusive education might be shaped by future technologies. Grounded in theoretical engagement, establishing key challenges for future practice, and outlining the latest research, this book offers a comprehensive overview of the complex issues arising from the convergence of A.I. technologies and the necessity of developing inclusive teaching and learning. To date, there has been little in the way of direct association between research and practice in these domains: A.I. has been a predominantly technical field of research and development, and while intelligent computer systems and ‘smart’ software are being increasingly applied in many areas of industry, economics, social life, and education itself, a specific engagement with the agenda of inclusion appears lacking. Although such technology offers exciting possibilities for education, including software that is designed to ‘personalise’ learning or adapt to learner behaviours, these developments are accompanied by growing concerns about the in-built biases involved in machine learning techniques driven by ‘big data’.

This edited volume broadens the understanding of the media arts at a global scale bringing together practices and ideas from artists and art educators from around the world. Authors explore issues of cultural and social diversity in fields of education, media theory, and critical theories of education and pedagogy with particular attention to digital technologies' impact on visual arts learning. Researchers utilize a range of methodologies including participant-researcher ethnographies, action research, case study, and design based research. These artists and art educators share new research about the pedagogical and theoretical aspects of media arts in educational systems that are facing unprecedented change. This volume begins to map why and how experts are working within networked society and playing with digital innovations through media arts education as a critical and creative practice.

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.

The rise of generative Artificial Intelligence (AI) signifies a momentous stride in the evolution of Large Language Models (LLMs) within the expansive sphere of Natural Language Processing (NLP). This groundbreaking advancement ripples through numerous facets of our existence, with education, AI literacy, and curriculum enhancement emerging as focal points of transformation. Within the pages of Transforming Education With Generative AI: Prompt Engineering and Synthetic Content Creation, readers embark on a journey into the heart of this transformative phenomenon. Generative AI's influence extends deeply into education, touching the lives of educators, administrators, policymakers, and learners alike. Within the pages of this book, we explore the intricate art of prompt engineering, a skill that shapes the quality of AI-generated educational content. As generative AI becomes increasingly accessible, this comprehensive volume empowers its audience, by providing them with the knowledge needed to navigate and harness the potential of this powerful tool.

Uniquely relating social media communication research to its computer-mediated communication foundation, as well as digital and emerging media trends, this handbook is an indispensable resource whether you're a graduate student or a seasoned practitioner.