Bill Cope and Mary Kalantzis

Abstract: Platforms for computer-mediated learning have existed in various forms for more than half a century. Since the COVID pandemic, their presence in developed countries has become near-universal across all lev...More

Bill Cope and Mary Kalantzis - struggling to understand not only how these things work, but even why they work...

This paper extends our earlier work on the multimodal grammar of artificial intelligence by responding to critical engagements fro...More

Abstract

In The Ends of Tests, Cope, Kalantzis, and Saini propose a transformative vision for education in the era of Generative AI. Moving beyond the limitations of traditional assessments—especially multiple-choice and time-limited essays—the...More

Press Release, University of Illinois: A new book examines the ideas that shaped teaching practices and student learning across the past century and the innovative University of Illinois Urbana-Champaign sch...More

BF Skinner's Teaching Machine, 1954. In LLM pretraining the transformer's attention mechanism is a version of the crank in this child's hand.

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This chapter traces the intellectual and practical evolution of reinforcement learning from its...More

Michele Galla, Bill Cope and Mary Kalantzis

This chapter examines how generative artificial intelligence (GenAI) inverts Bloom's Taxonomy, excelling at higher-order skills such as creation and synthesis yet struggling with foundational tasks li...More

Thanks to Victor Fei Lim, Angel Lin, and the AERA Literacies Special Interest Group. 

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As we build out CyberScholar (an all-new version of CGScholar, with embedded AI), we've been pondering design principles for AI in education. Here's our first draft - feeback welcome!

1. Cyber-Social Relations

AI and humans are always in dialectic...More

British Association of Applied Linguistics, Literacies Special Interest Group - Symposium, 16 May 2025

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"Artificial Intelligence" = the (terrible!) idea that a machine can replicate human cognition. "Cyber-Social Intelligence" = the idea that humans live in generative feedback relations with machines and, as a consequence of their profound differe...More