Michael A. Petersa and Fazal Rizvib aBeijing Normal University, Beijing, PR China; bMelbourne University, Melbourne, Australia Our minds are still racing back and forth, longing for a return to ‘no...

Michael A PetersBeijing Normal UniversityChatGPT is an AI chatbot released by OpenAI on November 30, 2022 and a ‘stable release’ on February 13, 2023. It belongs to OpenAI’s GPT-3 family (generativ...

Over the past ten years, we have worked in a collaboration between educators and computer scientists at the University of Illinois to imagine futures for education in the context of what is loosely called “artificial intelligence.” Unhappy with the first generation of digital learning environments, our agenda has been to design alternatives and research their implementation. Our starting point has been to ask, what is the nature of machine intelligence, and what are its limits and potentials in education? This paper (...) offers some tentative answers, first conceptually, and then practically in an overview of the results of a number of experimental implementations documented in greater detail elsewhere. Our key finding is that artificial intelligence—in the context of the practices of electronic computing developing over the past three quarters of a century—will never in any sense “take over” the role of teacher, because how it works and what it does are so profoundly different from human intelligence. However, within the limits that we describe in this paper, it offers the potential to transform education in ways that—counterintuitively perhaps—make education more human, not less. (shrink)

Over the past ten years, we have worked in a collaboration between educators and computer scientists at the University of Illinois to imagine futures for education in the context of what is loosely called “artificial intelligence.” Unhappy with the first generation of digital learning environments, our agenda has been to design alternatives and research their implementation. Our starting point has been to ask, what is the nature of machine intelligence, and what are its limits and potentials in education? This paper (...) offers some tentative answers, first conceptually, and then practically in an overview of the results of a number of experimental implementations documented in greater detail elsewhere. Our key finding is that artificial intelligence—in the context of the practices of electronic computing developing over the past three quarters of a century—will never in any sense “take over” the role of teacher, because how it works and what it does are so profoundly different from human intelligence. However, within the limits that we describe in this paper, it offers the potential to transform education in ways that—counterintuitively perhaps—make education more human, not less. (shrink)

Mary Kalantzis was from 2006 to 2016 Dean of the College of Education at the University of Illinois, Urbana-Champaign. Bill Cope is a Professor in the College of Education at the University of Illinois, Urbana-Champaign. They are co-authors of multiple books including Making Sense: Reference, Agency, and Structure in a Grammar of Multimodal Meaning (Cambridge, forthcoming), New Learning: Elements of a Science of Education (Cambridge, 2008, 2012), Literacies (Cambridge 2012, 2016) and e-Learning Ecologies (2017).

Ours are times of unprecedented ‘disruption’. The business pundits like this idea. ‘Disruptive innovation’, they are inclined to call it (Bower and Christensen 1995), a contemporary variation of Jo...

… in which we pass through eleven episodes in the history of cybernetics, each episode focusing on one of its perspectives on learning. We end with a coda where we define ‘cybersocial systems’ and...

The phenomenon of multimodality is central to our everyday interaction. 'Hybrid' modes of communication that combine traditional uses of language with imagery, tagging, hashtags and voice-recognition tools have become the norm. Bringing together concepts of meaning and communication across a range of subject areas, including education, media studies, cultural studies, design and architecture, the authors uncover a multimodal grammar that moves away from rigid and language-centered understandings of meaning. They present the first framework for describing and analysing different forms of (...) meaning across text, image, space, body, sound and speech. Succinct summaries of the main thinkers in the fields of language, communications and semiotics are provided alongside rich examples to illustrate the key arguments. A history of media including the genesis of digital media, Unicode, Emoji, XML and HTML, MP3 and more is covered. This book will stimulate new thinking about the nature of meaning, and life itself, and will serve practitioners and theorists alike. (shrink)

This book provides an introduction to literacy pedagogy within today's new media environment.