Exploring the Applications of Generative AI in High School STEM Education
September 16, 2025 Β· Declared Dead Β· π arXiv.org
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Authors
Ishaan Masilamony
arXiv ID
2510.21718
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CY
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
In recent years, ChatGPT \cite{openai_2023_gpt4} along with Microsoft Copilot have become subjects of great discourse, particularly in the field of education. Prior research has hypothesized on potential impacts these tools could have on student learning and performance. These have primarily relied on trends from prior applications of technology in education and an understanding of the limitations and strengths of Generative AI in other applications. This study utilizes an experimental approach to analyze the impacts of Generative AI on high school STEM education (physics in particular). In accordance with most findings, generative AI does have some positive impact on student performance. However, our findings have shown that the most significant impact is an increase in student engagement with the subject.
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