AI and the Future of Pedagogy (www.sagepub.com)

Tom Chatfield’s new white paper, AI and the Future of Pedagogy (Nov 3, 2025), argues that AI should be used to amplify — not replace — core human skills like critical thinking, discernment and domain expertise. Synthesizing cognitive science, instructional research and case studies, Chatfield warns against defensive, surveillance-heavy institutional responses and calls instead for transparent, experimental approaches: educators should become designers and facilitators of learning, assessment should shift toward mastery and reflection, and technology deployments must be grounded in civic and ethical purpose. Chatfield’s practical experience (including a prototype AI cognitive co‑pilot) underpins recommendations aimed at making AI a catalyst for deeper, collaborative learning rather than a shortcut to compliance or rote work. For the AI/ML community, the paper spells out concrete design and policy implications: integrate models only where they serve clear pedagogical objectives; build collaborative, explainable features that support group work and educator oversight; prioritize privacy-preserving, assessment-aware tools over proctoring surveillance; and embed educator feedback loops into product development. Institutions should invest in teacher training, redesign LMS and assessment practices for mastery learning, and favor tools that cultivate technical fluency alongside distinctively human capacities. Sage-aligned resources (courses and books) are highlighted as turnkey supports for these transitions.