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AI for Learning

This paper critically examines how Generative AI reshapes who holds authority in education and introduces a new framework for human-AI collaboration that prioritizes human accountability for knowledge.

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Reclaiming Epistemic Agency: A Critical Framework for Human-Generative AI Co-Agency in Education

Biranchi Poudyal

In plain terms

Generative AI (GenAI) is often viewed simply as a helpful tool in education, but this paper argues it's causing a major shift in who holds power and authority over knowledge in classrooms. Traditionally, teachers and students produce knowledge, but now AI is increasingly involved, raising questions about who validates claims and creates learning evidence. The author critically examined various established theories on agency (the ability to act and make choices) and technology use in education to understand how GenAI redistributes this ability among students, teachers, and machines. While relevant, existing theories didn't fully address inequalities in power, data ownership, or accountability in human-AI interactions. To tackle this, the paper introduces the Ecological Co-Agency Framework, which defines agency through relational, regulatory, and pedagogical processes. This framework emphasizes human accountability for the knowledge claims made when working with AI.

Why it matters · As AI becomes more common in education, understanding its impact on power dynamics, student agency, and accountability is crucial for anyone designing or implementing AI-powered learning tools. This paper provides a critical lens to evaluate AI's role beyond just its technical capabilities.

About this work · This research contributes to the growing field exploring the ethical, pedagogical, and social implications of integrating Generative AI into educational settings. It focuses on conceptual frameworks to understand the complex interplay between human and AI agency in learning environments.

Generative AIEducational AIAgencyPedagogyAI Ethics