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Physics Education in the Age of Artificial Intelligence | ||
| Physics Journal | Farhangian University | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 06 مهر 1404 | ||
| نوع مقاله: Original Paper | ||
| شناسه دیجیتال (DOI): 10.48310/esip.2025.20919.1021 | ||
| نویسنده | ||
| Ghadir Jafari* | ||
| Department of Physics Education, Farhangian University | ||
| چکیده | ||
| In this article, we argue that the development of artificial intelligence (AI) necessitates a fundamental rethinking of educational content and strategies. To substantiate our claim, we explore the interplay between human and machine learning, underscoring both their similarities and differences, and contend that curricula must be fundamentally redesigned to harness AI as an opportunity rather than merely confront it as a challenge. Emphasizing physics education, we propose that AI can handle repetitive, data-intensive, or algorithmic tasks, freeing students to focus on core conceptual and analytical skills. Key competencies such as computational thinking, critical reasoning, scientific modeling, data analysis, and interdisciplinary problem-solving are identified as central to a modern physics curriculum. Using Newtonian mechanics as a case study, we illustrate how AI-supported teaching can reinforce conceptual understanding, foster independent reasoning, and cultivate authentic physicist skills. By integrating AI thoughtfully, education can transform into a dynamic process that enhances learning outcomes, scientific creativity, and prepares students for the evolving demands of contemporary science. | ||
| کلیدواژه‌ها | ||
| Education؛ Artificial Intelligence؛ Physics Education؛ Machine Learning | ||
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آمار تعداد مشاهده مقاله: 36 |
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