Three-Tension Framework for Agentic AI Adoption in Education
A new arXiv paper (2604.27245) proposes a framework for navigating agentic AI in education, focusing on three core tensions: Implementation Feasibility, Adaptation Speed, and Mission Alignment. The authors argue that autonomous AI systems, capable of planning and acting toward goals, promise both greater personalization and disruption in schools and universities. The framework aims to balance practical integration, the mismatch between fast-evolving AI and slow educational change, and the need to uphold values like equity, privacy, and pedagogical integrity. The paper reviews early evidence of generative and agentic AI across sectors and frontline education.
Key facts
- Paper ID: arXiv:2604.27245
- Announce Type: cross
- Focuses on agentic AI systems in education
- Three tensions: Implementation Feasibility, Adaptation Speed, Mission Alignment
- Agentic AI can plan and act towards goals
- Promises greater educational personalization and disruption
- Reviews early evidence of generative and agentic AI
- Published on arXiv
Entities
Institutions
- arXiv