PERC 2024 Abstract Detail Page
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| Abstract Title: | Facilitating Analogical Reasoning in Physics Using Generative-AI |
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| Abstract Type: | Symposium Talk |
| Abstract: | Making sense of conceptual ideas through analogies is a common practice in physics. In this talk, I present preliminary results on the use of Generative-Artificial Intelligence (AI) in facilitating students' understanding of physics concepts through analogical reasoning. The study involves students articulating their understanding about Morse potential of a pair of neutral atoms through self- and ChatGPT-generated analogies. The data also corresponds to students' comparison of their explanations with the AI responses. The results are discussed in light of the affordances and constraints of using AI platforms in teaching and learning of physics. |
| Parallel Session: | Leveraging Artificial Intelligence in Teaching and Learning of Physics |
| Session Time: | Parallel Sessions Cluster 2 |
| Room: | Burroughs |
Author/Organizer Information | |
| Primary Contact: |
Amogh Sirnoorkar Kansas State University |
