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Multilingual performance of a multimodal artificial intelligence system on multisubject physics concept inventories

Gerd Kortemeyer ^1,2, Marina Babayeva ³, Giulia Polverini ⁴, Ralf Widenhorn ⁵, and Bor Gregorcic ⁴

¹Rectorate and AI Center, ETH Zurich, 8092 Zurich, Switzerland
²Michigan State University, East Lansing, Michigan 48823, USA
³Department of Physics Education, Charles University, Prague, 8, Czech Republic
⁴Department of Physics and Astronomy, Uppsala University, Box 516, 75120 Uppsala, Sweden
⁵Department of Physics, Portland State University, Portland, Oregon 97207, USA

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Articles Citing

Multilingual performance of a multimodal artificial intelligence system on multisubject physics concept inventories

The Boiling-Frog Problem of Physics Education

Developing an LLM-Based Feedback System Grounded in Evidence-Centered Design to Support Physics Problem Solving

When AI evaluates its own work: Validating learner-initiated, AI-generated physics practice problems

Performance of ChatGPT in solving wave problems

From search to GenAI queries: Global trends in physics information-seeking across topics and regions

Testing the validity of embedding-based similarity and clustering for handwritten physics solutions

An AI for an AI: AI-generated interactive animated questions as a defense against AI-based cheating

First-class AI? Assessing LLMs on undergraduate physics exams

Where free chatbots fail in school physics: an evaluation across 780 Uzbek-language textbook problems

Artificial Intelligence and the Professional Work of Physics Teachers in STEAM Education

Augmenting Physics Instruction and Assessment through Multimodal AI: Insights from Project Ethel

A framework for institutional change in the age of AI

How physics professors use and frame generative AI tools

Performance and failure modes of AI chatbots on a novel concept inventory on relativity in classical mechanics

From Tools to Partners: Artificial Intelligence and the Future of Physics Learning for STEM Classrooms

Assessing ChatGPT’s logical reasoning quality in physics problem solving

Feedback indices to evaluate LLM responses to rebuttals for multiple choice type questions

Assisting the grading of a handwritten general chemistry exam with artificial intelligence

No title available

No title available

NotebookLM as a Socratic Physics Tutor: Design and Preliminary Observations of a RAG-Based Tool

Human Versus Artificial Intelligence in Creative Physics Thinking: A Philosophical Reflection on Learning and Cognition

Multilingual performance of a multimodal artificial intelligence system on multisubject physics concept inventories

Evaluating GPT- and reasoning-based large language models on Physics Olympiad problems: Surpassing human performance and implications for educational assessment

Do AI-generated videos obey physics laws?

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