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Evaluation of the Utilization of Generative Artificial Intelligence Tools among First-Year Mechanical Engineering Students

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Conference

2024 ASEE Annual Conference & Exposition

Location

Portland, Oregon

Publication Date

June 23, 2024

Start Date

June 23, 2024

End Date

June 26, 2024

Conference Session

Technological and Engineering Literacy/Philosophy of Engineering Division (TELPhE) Technical Session 1

Tagged Division

Technological and Engineering Literacy/Philosophy of Engineering Division (TELPhE)

Page Count

19

DOI

10.18260/1-2--47363

Permanent URL

https://peer.asee.org/47363

Download Count

282

Paper Authors

biography

Steffen Peuker California Polytechnic State University, San Luis Obispo Orcid 16x16 orcid.org/0000-0001-9862-6105

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Dr. Peuker holds the James L. Bartlett, Jr. Professor position in the Mechanical Engineering Department at the California Polytechnic State University in San Luis Obispo and is the Director of the HVAC&R Program. His research interest are HVAC&R applications. Dr. Peuker’s educational research focuses on increasing student retention and success in engineering. He has given talks and workshops nationally on the subject and facilitates faculty learning communities and is the co-author of “Studying Engineering – A Road Map to a Rewarding Career”.

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Abstract

Generative artificial intelligence tools, such as ChatGPT, are freely available to anyone, including college students. Some perceive these tools as a game changer for higher education because they can enhance student learning experiences in various ways. The integration of generative AI tools in higher education has the potential to revolutionize teaching and learning, making education more accessible, efficient, and effective for students, like the introduction of the calculator. However, there are concerns that generative AI tools can also be misused and lead to unethical behavior. For example, students could use these tools to plagiarize essays, cheat on assignments and exams, and thereby devalue the learning experience for themselves and others. A mixed-method survey was developed to answer the following research questions: 1. How many first-year ME students use generative artificial intelligence tools? 2. How do first-year mechanical engineering students utilize generative artificial intelligence tools? 3. What are the perceptions of first-year mechanical engineering students about the utilization of generative artificial intelligence tools? A survey was given to first-year mechanical engineering students at a four-year public institution. The response rate to the anonymous survey was 69%. The results reveal that 42% of first-year mechanical engineering students are already using generative AI tools, with 75% planning to use generative AI tools in the future. The primary uses by students include idea generation, educational support, and writing assistance. While 61% acknowledge AI's potential for facilitating cheating, 70% believe these tools can enhance learning when used appropriately. The prevailing view among first-year mechanical engineering students is that generative AI, when employed responsibly, can enhance the learning process. This emphasizes the necessity of using generative AI technologies responsibly and adaptably when creating teaching strategies to ensure that they promote academic integrity and learning rather than acting as a barrier to it.

Peuker, S. (2024, June), Evaluation of the Utilization of Generative Artificial Intelligence Tools among First-Year Mechanical Engineering Students Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. 10.18260/1-2--47363

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