Generative Artificial Intelligence (Beginner)

Artificial Intelligence and Learning Futures by Stefan Popenici Artificial Intelligence and Learning Futures 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.

A Beginner's Guide to Introduce Artificial Intelligence in Teaching and Learning by Muralidhar Kurni; Mujeeb Shaik Mohammed; Srinivasa K G This book reimagines education in today's Artificial Intelligence (AI) world and the Fourth Industrial Revolution. Artificial intelligence will drastically affect every industry and sector, and education is no exception. This book aims at how AI may impact the teaching and learning process in education. This book is designed to demystify AI for teachers and learners. This book will help improve education and support institutions in the phenomena of the emergence of AI in teaching and learning. This book presents a comprehensive study of how AI improves teaching and learning, from AI-based learning platforms to AI-assisted proctored examinations. This book provides educators, learners, and administrators on how AI makes sense in their everyday practice. Describing the application of AI in ten key aspects, this comprehensive volume prepares educational leaders, designers, researchers, and policymakers to effectively rethink the teaching and learning process and environments that students need to thrive. The readers of this book never fall behind the fast pace and promising innovations of today's most advanced learning technology.

Brave New Words by Salman Khan From the founder of Khan Academy, the first book written for general audiences on the AI revolution in education, its implications for parenting, and how we can best harness its power for good

Co-Intelligence by Ethan Mollick From Wharton professor and author of the popular One Useful Thing Substack newsletter Ethan Mollick comes the definitive playbook for working, learning, and living in the new age of AI. The release of generative AI--from LLMs like ChatGPT to image generators like DALL-E-marks a new era. We have invented technologies that boost our physical capabilities and others that automate complex tasks, but never, until now, have we created a technology that can boost our intelligence--with an impact on work and life that researchers project will be greater than that of steam power or the internet. Mollick urges us not to turn away from AI, and instead to invite AI tools to the table. He demonstrates how AI can amplify our own capacities, acting in roles from brainstorming partner to cowriter to tutor to coach, and assesses its surprising, positive impact on business and organizations. Marshalling original research from workers and teams who are leading the rest of us in embracing and leveraging AI, Mollick cuts through the hype to make a frank and eye-opening case for the real value of AI tools. Moreover, Mollick argues that the long-term impact of AI will be different from what we expect, advantaging English majors and art history experts more than coders, and impacting knowledge workers more than blue-collar workers. Co-Intelligence shows what it means for individuals and for society to think together with smart machines, and why it's imperative that we all master that skill. Co-Intelligence challenges us to utilize AI's power without losing our identity, learn from it without being misled, and harness its gifts to create a better human future. Thought-provoking, optimistic, and lucid, Co-Intelligence reveals the promise and power of generative AI.

The Ethics of Artificial Intelligence in Education by Wayne Holmes (Editor); Kaśka Porayska-Pomsta (Editor) The Ethics of Artificial Intelligence in Education identifies and confronts key ethical issues generated over years of AI research, development, and deployment in learning contexts. Adaptive, automated, and data-driven education systems are increasingly being implemented in universities, schools, and corporate training worldwide, but the ethical consequences of engaging with these technologies remain unexplored. Featuring expert perspectives from inside and outside the AIED scholarly community, this book provides AI researchers, learning scientists, educational technologists, and others with questions, frameworks, guidelines, policies, and regulations to ensure the positive impact of artificial intelligence in learning.