aceLeveraging generative artificial intelligence for simulation-based physics experiments: A new approach to virtual learning about the real world
This study investigates the impact of a novel application of generative artificial intelligence (AI) in physics instruction: engaging students in prompting, refining, and validating AI-constructed simulations of physical phenomena. In a second-semester physics course for life science majors, we conducted a comparative study of three instructional approaches in a laboratory focused on electric p...
Life-science physics students engaged in prompting, refining, and validating generative AI-constructed simulations as a new method for virtual learning about physical phenomena.
Evidence
- Peer-reviewedSemantic Scholar–indexed venue2025-09-26
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Truvace Impact Record TRV-2026-1100, v2: “Leveraging generative artificial intelligence for simulation-based physics experiments: A new approach to virtual learning about the real world.” Truvace, 2026-10-26. /record/TRV-2026-1100 (accessed at citation time). sha256 8d650fdd91ad890d…
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Direction audit: the gain line stated no AI consequence and was removed. Filed as context; not counted as a gain or a problem.
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