Mini-Symposium: Generative AI, Large-Language Models, and Machine Learning in Physics Education Research
FOCUS · APR-D15 · ID: 2682833
Presentations
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Applying Large Language Models to the Teaching and Assessment of Introductory Level Physics: the good, the bad and the unexpected
ORAL · Invited
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Publication: Chen, Z., & Wan, T. (2024). Achieving Human Level Partial Credit Grading of Written Responses to Physics Conceptual Question using GPT-3.5 with Only Prompt Engineering. 2024 Physics Education Research Conference Proceedings, 97–101. https://doi.org/10.1119/perc.2024.pr.Chen<br><br>Wan, T., & Chen, Z. (2024). Exploring generative AI assisted feedback writing for students' written responses to a physics conceptual question with prompt engineering and few-shot learning. Physical Review Physics Education Research, 20(1), 010152. https://doi.org/10.1103/PhysRevPhysEducRes.20.010152
Presenters
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Zhongzhou Chen
University of Central Florida
Authors
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Zhongzhou Chen
University of Central Florida
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Tong Wan
University of Central Florida
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Abstract Withdrawn
ORAL Withdrawn
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Using large language models to summarize student feedback
ORAL
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Presenters
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Nicholas Young
University of Georgia
Authors
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Nicholas Young
University of Georgia
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Christopher Overton
University of Georgia
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Ania Majewska
University of Georgia
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Hina Shaikh
University of Georgia, Eberhard Karls University of Tübingen
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Nandana J Weliweriya
University of Georgia
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Characterizing creativity and generative AI in physics
ORAL
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Presenters
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Pachi Her
Oregon State University
Authors
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Pachi Her
Oregon State University
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Patti Hamerski
Oregon State University
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Applying machine learning to understand student thinking about measurement in quantum and classical mechanics
ORAL
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Presenters
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Rebeckah Fussell
Cornell University
Authors
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Rebeckah Fussell
Cornell University
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Jonas T Mjaaland
University of Oslo
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Markus F Kreutzer
University of Oslo
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Halvor Tyseng
University of Oslo
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Tor Ole B Odden
University of Oslo
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Gina Passante
California State University, Fullerton
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Natasha G Holmes
Cornell University
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Generative AI as a Scaffolding Tool for Building Concept Maps in Large Enrollment Introductory Physics Courses
ORAL
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Presenters
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Mohamed Abdelhafez
Massachusetts Institute of Technology
Authors
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Mohamed Abdelhafez
Massachusetts Institute of Technology
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Shams El-Adawy
University of Colorado Boulder
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Ethical considerations when conducting machine learning research
ORAL
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Presenters
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Maxwell Winter Franklin
Drexel University
Authors
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Maxwell Winter Franklin
Drexel University
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Eric Brewe
Drexel University
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