← paper · claim graph · dependency edges only
Addressing the Reality Gap: A Three-Tension Framework for Agentic AI Adoption
arXiv:2604.27245 · kill-test 2 OPEN (no contradiction edges)
- claim 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 applications u
- falsifier A documented case in which multiple schools or universities adopt agentic AI systems at scale while ignoring one or more of the three tensions and still achieve sustained, value-preserving results.
- machinery The three-tension framework that guides decision-makers in evaluating and designing responsible AI deployments across K-12 and higher education by weighing feasibility, pace of change, and value alignment.
- premise That the three identified tensions are the primary and sufficient set of considerations for guiding decision-makers in evaluating and designing responsible AI deployments across K-12 and higher education.
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