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| Main Authors: | , |
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| Formato: | Recurso digital |
| Idioma: | inglés |
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2025
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| Acceso en liña: | https://doi.org/10.7275/bddm-yf93 |
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| author | Gattupalli, Sai Chakravarty, Poulomi |
| author_facet | Gattupalli, Sai Chakravarty, Poulomi |
| contents | <p>We present an approach for leveraging generative artificial intelligence (GenAI) to create interactive physics simulations that foster conceptual understanding of cosmic and natural phenomena, without requiring prior coding expertise. Through iterative prompting methodology and case study analysis, we demonstrate how physics educators can translate conceptual requirements into functional, web-based visualizations that promote active, meaningful learning. Our approach addresses the enduring challenge of making abstract physics concepts accessible, employing dynamic visualization and principles from Universal Design for Learning (UDL) to provide multiple forms of representation. We outline a systematic prompt literacy framework enabling educators to generate simulations for complex phenomena, including gravitational waves, Higgs field interactions, and spacetime curvature. This methodology bridges the gap between theoretical concepts and intuitive understanding by facilitating immediate feedback and interactive exploration. Our work aims to democratize the development of physics education simulations by empowering educators to become simulation designers, while preserving pedagogical rigor and fostering deep learning. </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_7275_bddm-yf93 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Prompting the Universe: AI-Generated Physics Simulations for Engaged Learning Gattupalli, Sai Chakravarty, Poulomi Generative AI Educational Technology/education Physics/education Interactive Simulations Conceptual Understanding AI in Education Prompt Engineering Universal Design for Learning Personalized Learning <p>We present an approach for leveraging generative artificial intelligence (GenAI) to create interactive physics simulations that foster conceptual understanding of cosmic and natural phenomena, without requiring prior coding expertise. Through iterative prompting methodology and case study analysis, we demonstrate how physics educators can translate conceptual requirements into functional, web-based visualizations that promote active, meaningful learning. Our approach addresses the enduring challenge of making abstract physics concepts accessible, employing dynamic visualization and principles from Universal Design for Learning (UDL) to provide multiple forms of representation. We outline a systematic prompt literacy framework enabling educators to generate simulations for complex phenomena, including gravitational waves, Higgs field interactions, and spacetime curvature. This methodology bridges the gap between theoretical concepts and intuitive understanding by facilitating immediate feedback and interactive exploration. Our work aims to democratize the development of physics education simulations by empowering educators to become simulation designers, while preserving pedagogical rigor and fostering deep learning. </p> |
| title | Prompting the Universe: AI-Generated Physics Simulations for Engaged Learning |
| topic | Generative AI Educational Technology/education Physics/education Interactive Simulations Conceptual Understanding AI in Education Prompt Engineering Universal Design for Learning Personalized Learning |
| url | https://doi.org/10.7275/bddm-yf93 |