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Leveraging AI for Rapid Generation of Physics Simulations in Education: Building Your Own Virtual Lab
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Seemingly we are not so far from Star Trek's food replicator. Generative artificial intelligence is rapidly becoming an integral part of both science and education, offering not only automation of processes but also the dynamic creation of complex, personalized content for educational purposes. With such advancement, educators are now crafting exams, building tutors, creating writing partners for students, and developing an array of other powerful tools for supporting our educational practices and student learning. We share a new class of opportunities for supporting learners and educators through the development of AI-generated simulations of physical phenomena and models. While we are not at the stage of "Computer: make me a mathematical simulation depicting the quantum wave functions of electrons in the hydrogen atom", we are not far off.
Forward citations
Cited by 2 Pith papers
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A principled way to think about AI in education: guidance for educators and policy makers based on goals, models of human learning, and use of technologies
A principles-based framework links educational goals, socio-cultural learning theory, and human/technology roles to guide generative AI use in higher education.
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Using LLMs to Detect Growth in Computational Thinking in Introductory Physics
An LLM scored students' written computational thinking responses in an introductory physics course with human-level agreement on well-defined practices and reproduced pre-post growth trends at scale.
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