Learning to Live with AI: How Students Develop AI Literacy Through Naturalistic ChatGPT Interaction
Tawfiq Ammari, Meilun Chen, S M Mehedi Zaman, Kiran Garimella

TL;DR
This study examines how students develop AI literacy through naturalistic ChatGPT interactions, revealing diverse use genres and emphasizing relational negotiation and repair literacy as key components of learning.
Contribution
It provides empirical insights into student-AI interaction patterns and introduces the concept of repair literacy as a crucial aspect of AI competence development.
Findings
Students use ChatGPT in five distinct genres.
Relational negotiation is central to developing AI literacy.
Repair work during AI breakdowns enhances understanding of AI capabilities.
Abstract
How do students develop AI literacy through everyday practice rather than formal instruction? While normative AI literacy frameworks proliferate, empirical understanding of how students actually learn to work with generative AI remains limited. This study analyzes 10,536 ChatGPT messages from 36 undergraduates over one academic year, revealing five use genres -- academic workhorse, emotional companion, metacognitive partner, repair and negotiation, and trust calibration -- that constitute distinct configurations of student-AI learning. Drawing on domestication theory and emerging frameworks for AI literacy, we demonstrate that functional AI competence emerges through ongoing relational negotiation rather than one-time adoption. Students develop sophisticated genre portfolios, strategically matching interaction patterns to learning needs while exercising critical judgment about AI…
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Taxonomy
TopicsArtificial Intelligence in Healthcare and Education · Ethics and Social Impacts of AI · AI in Service Interactions
