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Vincent Casamayou; Bruno Bousquet; Justin Dillmann; Nathan Salin; Jean-Paul Guillet; Lionel Canioni; Martin Hachet – Discover Education, 2025
Practical work in optics is essential to understand complex abstract phenomena. Consequently, hands-on experiments are part of most physics' curricula, despite the fact that they can be hard to set up and maintain. In this article, we present a virtual laboratory tool, called SHIRE, which allows students to carry out optical experiments from a…
Descriptors: Hands on Science, Science Experiments, Science Curriculum, Physics
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Ching-Huei Chen; Victor Law – Educational Technology Research and Development, 2025
This study explores the roles of students' help-seeking profiles when seeking help from AI chatbots, specifically ChatGPT, in a digital game-based learning environment, "Summon of Magicrystal." The study involved 102 middle school students who played an online game with the provision of ChatGPT and sought help from ChatGPT while solving…
Descriptors: Help Seeking, Game Based Learning, Artificial Intelligence, Computer Software
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Xuhan Luo; Boxuan Li; Jinmei Liu; Shihong Ma; Xinyuan Wei; Yan Cen – IEEE Transactions on Education, 2025
Contribution: An innovative approach utilizing interactive software paired with stereoscopic projection hardware is introduced to enhance the teaching and learning of solid-state physics. This method is distinctive for its integration of complex 3-D visualizations directly into classroom instruction, facilitating a deeper understanding of abstract…
Descriptors: Computer Software, Science Education, Physics, Scientific Concepts
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Rebeckah K. Fussell; Megan Flynn; Anil Damle; Michael F. J. Fox; N. G. Holmes – Physical Review Physics Education Research, 2025
Recent advancements in large language models (LLMs) hold significant promise for improving physics education research that uses machine learning. In this study, we compare the application of various models for conducting a large-scale analysis of written text grounded in a physics education research classification problem: identifying skills in…
Descriptors: Physics, Computational Linguistics, Classification, Laboratory Experiments
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Isidor Kokalari; Kosta Lili – Science Education International, 2025
Physics, even though it is guided by simple principles, tends for many topics to be obscured in the mathematics redundancy. MATLAB®, as interactive software for computer algebra, has already had an important impact on the way physics is taught by educators. It has also had a substantial impact on the way research is performed by students to…
Descriptors: Computer Software, Physics, Science Instruction, Teaching Methods
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Yubin Xu; Lin Liu; Jianwen Xiong; Guangtian Zhu – Journal of Baltic Science Education, 2025
As the development and application of large language models (LLMs) in physics education progress, the well-known AI-based chatbot ChatGPT4 has presented numerous opportunities for educational assessment. Investigating the potential of AI tools in practical educational assessment carries profound significance. This study explored the comparative…
Descriptors: Physics, Artificial Intelligence, Computer Software, Accuracy
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Tobias Wyrwich; Marcus Kubsch; Hendrik Drachsler; Knut Neumann – Physical Review Physics Education Research, 2025
Students struggle to acquire the needed energy understanding to meaningfully participate in the energy discourse about socially relevant topics, such as energy transformation or climate change. Identifying students on differing learning trajectories, as well as differences in knowledge used, is essential to help students achieve the needed energy…
Descriptors: Learning Processes, Physics, Energy, Science Instruction
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Soojeong Jeong; Justin Rague; Kaylee Litson; David F. Feldon; M. Jeannette Lawler; Kenneth Plummer – Education and Information Technologies, 2025
DBL is a novel pedagogical approach intended to improve students' conditional knowledge and problem-solving skills by exposing them to a sequence of branching learning decisions. The DBL software provided students with ample opportunities to engage in the expert decision-making processes involved in complex problem-solving and to receive…
Descriptors: Decision Making, Learning Processes, Introductory Courses, Science Education
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Victoria Borish; H. J. Lewandowski – Physical Review Physics Education Research, 2025
As quantum technologies transition from the research laboratory into commercial development, the opportunities for students to begin their careers in this new quantum industry are increasing. With these new career pathways, more and more people are considering the best ways to educate students about quantum concepts and relevant skills. In…
Descriptors: Physics, Science Instruction, Quantum Mechanics, Computer Software
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Yifan Lu; K. Supriya; Shanna Shaked; Elizabeth H. Simmons; Alexander Kusenko – Physical Review Physics Education Research, 2025
Inequities in student access to trigonometry and calculus are often associated with racial and socioeconomic privilege, and often influence introductory physics course performance. To mitigate these disparities in student preparedness, we developed a two-pronged intervention consisting of (1) incentivized supplemental math assignments and (2)…
Descriptors: Mathematics Instruction, Teaching Methods, Academic Achievement, Science Instruction
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Giulia Polverini; Jakob Melin; Elias Önerud; Bor Gregorcic – Physical Review Physics Education Research, 2025
[This paper is part of the Focused Collection in Artificial Intelligence Tools in Physics Teaching and Physics Education Research.] Artificial intelligence-based chatbots are increasingly influencing physics education because of their ability to interpret and respond to textual and visual inputs. This study evaluates the performance of two large…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Physics
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Jufrida Jufrida; Wawan Kurniawan; M. Furqon; Khairul Anwar; Hebat Shidow Falah; Cicyn Riantoni – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: This study aims to explore the innovative integration of machine learning techniques into project-based learning rooted in Malay ethnoscience in Jambi, Indonesia. The research introduces a novel framework that utilizes educational data mining to personalize culturally responsive STEM education in under-resourced public schools.…
Descriptors: Physics, Science Instruction, Learning Analytics, Algorithms