The Narrative Imperative: Foundational Principles for Preserving Human Agency in Generative AI-Assisted Learning

• In Event: A Collective of Diverse Narrative Explorations: A Generative Space for Sharing Approaches to Storying, Identity, Equity, and Inquiry

Abstract

The integration of Generative AI (GenAI) in education presents a critical paradox: while it improves task performance, it risks undermining learner competence through "cognitive offloading." This study argues that current educational frameworks are insufficient to resolve this tension and turns to Jerome Bruner’s narrative theory, which posits meaning-making as the core of human learning. Through a synthesis of cognitive science and narrative psychology, we propose Three Foundational Laws for AI-Assisted Learning that parallel Asimov's laws of robotics. These principles subordinate performance enhancement to the preservation of human narrative processes and cognitive agency. Ultimately, this framework provides concrete design guidance to ensure GenAI functions as a partner for cognitive development rather than a replacement, offering a blueprint for human-centered AI-Ed.

Authors

• Sheng-Ya Juan, National Yang Ming Chiao Tung University

• Hsiaofeng Tsai, National Academy for Educational Research - Taiwan

• Ken-Zen Chen, National Yang Ming Chiao Tung University