#EdTech26 Keynote 2 Dr Ben Williamson 'Fabricating EdTech Futures''

Summary

Key Points

• Projecting relies on algorithmic forecasts and big‑data analytics to determine which technologies receive investment and market value. 10:14
• Prototyping creates design artifacts, such as AI content stores, that prefigure pedagogical practices and serve as proof‑of‑concept for future adoption. 19:33
• Pilot testing transforms classrooms into large‑scale experimental sites that generate anticipatory evidence and reshape educational environments regardless of measured learning gains. 27:30
• Edtech futures are deliberately constructed and marketed at large exhibitions, using seductive visions to influence policymakers and teachers. 29:03
• Product trialing by major AI firms conducts massive randomized trials to refine AI tutors and establish global measurement standards, reinforcing commercial dominance. 31:44
• Four futuring techniques—projecting, prototyping, pilot testing, and product trialing—are employed to shape AI tutoring markets and educational policy. 35:29
• The politics of expectation frames futuring as a contest for authority over the future, marginalizing social scientists and other critical voices. 35:58
• The video calls for inclusive, critical debate about AI and edtech adoption, warning that pressure from political groups and parental campaigns may drive uncritical market‑driven implementation. 48:09