The role of generative AI tools in shaping mechanical engineering education from an undergraduate perspective

This study evaluates the effectiveness of three leading generative AI tools-ChatGPT, Gemini, and Copilot-in undergraduate mechanical engineering education using a mixed-methods approach. The performance of these tools was assessed on 800 questions spanning seven core subjects, covering multiple-choi...

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Vydáno v:	Scientific reports Ročník 15; číslo 1; s. 9214 - 14
Hlavní autoři:	Akolekar, Harshal, Jhamnani, Piyush, Kumar, Vikash, Tailor, Vinay, Pote, Aditya, Meena, Ankit, Kumar, Kamal, Challa, Jagat Sesh, Kumar, Dhruv
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Nature Publishing Group UK 17.03.2025 Nature Publishing Group Nature Portfolio
Témata:	639/166/988 639/705/117 Chatbots ChatGPT, Copilot, Gemini Engineering education Generative AI Generative artificial intelligence Humanities and Social Sciences Learning Mechanical engineering multidisciplinary Multiple choice Problem solving Science Science (multidisciplinary) Mechanical engineering ChatGPT, Copilot, Gemini Generative AI
ISSN:	2045-2322, 2045-2322
On-line přístup:	Získat plný text
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