Learning with Large Language Models through a Distributed Cognition Lens: Findings from an Exploratory Study
Presented by Priyanka Parekh, Center for Science Teaching and Learning
This exploratory study found that undergraduates engaged GenAI as a dynamic partner within a distributed learning system across disciplines. Learning emerged through iterative exchanges where reasoning, problem-solving, and trust were co-constructed. These interactions were shaped by disciplinary norms, individual ability and willingness to interact with GenAI, and personal and professional goals. Agency and identity were negotiated when students actively decide when to lead, critique, or delegate tasks, and position themselves as certain kinds of learners.
