Addressing the Reality Gap: A Three-Tension Framework for Agentic AI Adoption
Generative AI has rapidly entered education through free consumer tools, outpacing the ability of schools and universities to respond. Now a new wave of more autonomous agentic AI systems--with the capacity to plan and act towards goals--promises both greater educational personalization and greater disruption. This chapter argues that successfully navigating these innovations requires balancing three core tensions: (1) Implementation Feasibility, or the practical capacity to integrate AI sustainably into real classrooms; (2) Adaptation Speed, or the mismatch between fast-evolving AI capabilities and the slower pace of educational change; and (3) Mission Alignment, or the need to ensure AI...
| Authors | Jason Fournier, Kacper Łodzikowski |
|---|---|
| Primary category | cs.CY |
| Published | 29 April 2026 |
| Last updated at source | 18 May 2026 |
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