AI Adoption Faces Three Core Tensions

Researchers present a framework for adopting agentic AI in education, focusing on balancing three tensions. They observe that generative AI tools arrived in classrooms quickly, exceeding the ability of schools to adapt. The new wave of agentic AI—systems that can plan and act—creates both opportunities for personalized learning and potential disruption.

The framework centers on implementation feasibility, adaptation speed, and mission alignment. Implementation feasibility concerns integrating AI sustainably into real classrooms.

Adaptation speed addresses the gap between rapidly evolving AI and the slower pace of educational change. Mission alignment focuses on upholding values like equity and privacy.

Early evidence suggests these tensions already exist in schools and universities. The researchers identify curriculum-linked AI agents and educator-informed design as emerging trends. They recommend educational leaders proactively engage with AI to improve teaching and learning, but acknowledge further research is needed to address ongoing challenges.