چکیده مقاله
In Mechanical Engineering Education MEE , Artificial Intelligence AI is transforming research, teaching, and learning methodologies Applications of AI, such as computer vision and Machine Learning ML , facilitate automated tests, virtual labs, and personalized learning This research aims to investigate the influence of AI tools on MEE Accordingly, this study involved 78 undergraduate Mechanical Engineering ME students at Arak University, predominantly male ≈80% , with ages ranging from 19 to 39 years mean = 22 7, standard deviation = 3 4 Most participants 78 2% were between 20 and 23 years old, representing a typical demographic of undergraduates nearing program completion These characteristics align with the study’s focus on undergraduate students as a key user group of AI tools in academic contexts The results of this study are categorised into five main groups, namely familiarity and self assessment, usage patterns, educational and course specific usage, perceived impact as well as concerns and risks The findings reveal that although the majority of students demonstrate moderate or higher proficiency, very high expertise is still limited Moreover, the evidence highlights that acquiring core conceptual knowledge is the central motivation behind students’ use of AI tools Furthermore, the data show that education was the leading motivation for AI use 47% , with ChatGPT serving as the most commonly employed tool 47% This work provides a valuable resource for researchers, educators, and policymakers seeking effective AI integration strategies in MEE
کلیدواژهها
نویسندگان
شیوه ارجاع
Moghadasi, Hesam and Afshari, Mehran and Parsa, Hasan,1404,The Influence of Artificial Intelligence Tools on Mechanical Engineering Education: A Case Study at Arak University,9th Iran International Conference on Engineering Education,Arak
ارائهشده در
مجموعه مقالات نهمین کنفرانس بین المللی آموزش مهندسی ایران14 آبان 1404 · اراک