Physics explores the fundamental rules governing our universe, from the tiniest subatomic particles to the vastness of distant galaxies. This category focuses on educational physics, bridging the gap between complex theoretical concepts and clear, understandable explanations for students and enthusiasts alike. It covers how we teach, learn, and visualize the laws of nature in everyday contexts.

Gist.Science monitors arXiv daily to process every new preprint in this specific field. We transform these raw scientific manuscripts into accessible plain-language overviews alongside detailed technical summaries, ensuring that cutting-edge educational research reaches a wider audience without losing its rigor. Below are the latest papers in physics education research and related studies that have recently appeared on arXiv.

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Using LLMs to Detect Growth in Computational Thinking in Introductory Physics

This study demonstrates that Large Language Models can effectively scale the assessment of student growth in computational thinking within introductory physics courses by mirroring human evaluations of written explanations for data practices and problem-solving, though both methods face challenges in reliably evaluating complex constructs like systems thinking.

Sean Savage, Anand Shanker, Grace Michlitsch, N. Sanjay Rebello2026-08-07
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Students' Epistemological Beliefs and their Chatbot Preferences in AI-mediated Physics Learning

This study investigates the relationship between introductory physics students' epistemological beliefs and their preferences for AI chatbot behaviors in a wave simulation module, finding that while students favoring a "combination" of guided inquiry and direct answers initially showed more sophisticated beliefs, these differences were not statistically significant after Bonferroni correction.

Amogh Sirnoorkar, Omkar Mamidpalliwar2026-08-03
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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

This paper proposes a principled framework for integrating generative AI into higher education that connects enduring learning science goals with actionable practices, ensuring technology augments rather than displaces human capacities while guiding educators and policymakers in preserving the fundamental mission of meaningful learning.

Noah D. Finkelstein2026-07-27
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Interactive and accessible quantum key distribution modules for introducing students to quantum science and engineering

This paper presents an affordable, interactive educational kit that uses optical analogies and role-playing to teach quantum key distribution concepts to high-school and undergraduate students, supported by detailed manual and automated versions along with feedback from workshops.

John M. Donohue, Silas Ifeanyi, Andrew Chisholm, Julien Côté, Quazell Cunningham, Jamiel Nasser, Aaron Xayvongsa, Evange (…)2026-07-24
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A First Africa Wide Amateur Radio Contact Experiment with the International Space Station

This paper details the historic April 18, 2025, Pan-African Citizen Science e-Laboratory (PACS e-Lab) initiative that successfully connected 300 participants from 38 African nations with NASA astronaut Nichole Ayers aboard the ISS, establishing a scalable model for inclusive STEM outreach and fostering continental collaboration in space science education.

Domingos Barbosa, Miracle Chibuzor Marcel, Declan Kirrane, Miguel Avillez, Amare Abebe Gidelew, Carla Sharpe Mitchell, V (…)2026-07-21