Izvorni znanstveni članak
https://doi.org/10.7906/indecs.23.6.5
Large Language Models in Physics: Analysis of Accuracy and Teacher Perception
Boško Lišnić
; University of Split, Faculty of Science, Split, Croatia
Marija Gaurina
; University of Split, Faculty of Science, Split, Croatia
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* Dopisni autor.
Sažetak
This article explores the educational potential of large language models (LLMs) in physics teaching for secondary schools. The aim is to examine the accuracy, consistency and execution time of LLMs in solving tasks from national physics exams for secondary schools in the Republic of Croatia. In addition, we want to collect teachers’ perceptions of their use in teaching and as a tool in preparation for state maturas. The quantitative part analysed the responses obtained from 15 models from four different platforms (OpenAI, Perplexity, Microsoft Copilot, DeepSeek) in solving tasks from national physics exams. In the qualitative part, a focus group was conducted with physics teachers. The results show a high level of accuracy of individual models, and problems in solving tasks with a graphical display were revealed. Teachers recognised the potential of LLMs as auxiliary tools but emphasised the necessity of students’ prior knowledge in physics and teachers’ need for critical literacy and control. The research provides insight into the possibilities and limitations that LLMs bring with them in STEM education and opens space for further research into the application of artificial intelligence tools in education.
Ključne riječi
LLM; education; physics; STEM; AI literacy; evaluation
Hrčak ID:
342123
URI
Datum izdavanja:
23.12.2025.
Posjeta: 489 *