Year: 2025
Type: article
Abstract: This work-in-progress paper explores how students’ trust in generative AI evolves during the learning process within a STEM education context. As tools like ChatGPT are increasingly used in classrooms, trust plays a pivotal role in shaping adoption, use, and learning outcomes. The planned case study will take place at a public university in France, where STEM students will use ChatGPT across a series of lab assignments, followed by a web-based survey. Semi-structured interviews with the course instructor will complement the data, exploring the instructor’s perspective on student trust, their own trust in AI, and broader pedagogical implications. Using a folk theory framework, the study approaches trust as a dynamic, experience-driven process rather than a fixed prerequisite.
Authors: Tran, Nguyen Anh Luan, Corbett-Etchevers, Isabelle
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7037779370
FWCI:
Cites:
Cited by:
Related to: