Integrating AI in Engineering Education: A Five-Phase Framework for Responsible ChatGPT Use
- Conference
- Location
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Farmingdale State College, NY, New York
- Publication Date
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October 25, 2024
- Start Date
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October 25, 2024
- End Date
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November 5, 2024
- Conference Session
- Tagged Topic
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Professional Papers
- Page Count
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8
- DOI
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10.18260/1-2--49447
- Permanent URL
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https://peer.asee.org/49447
- Download Count
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28
Paper Authors
Gonca Altuger-Genc State University of New York, College of Technology at Farmingdale
Dr. Gonca Altuger-Genc is an Associate Professor at State University of New York - Farmingdale State College in the Mechanical Engineering Technology Department.
Akin Tatoglu University of Hartford
Akin Tatoglu is an Associate Professor of Mechanical Engineering at University of Hartford, CT. He received his Ph.D. degree in mechanical engineering from Stevens Institute of Technology, NJ, in 2015. His research focuses on robotics, collaborative navigation and AI applications.
Abstract
One of the challenges as the new technological advancements become part of everyday lives are to be able to incorporate and responsibly use them. The use of generative AI tools such as ChatGPT, started to become more common, especially in educational settings. One of the challenges is to understand how can we support students to be responsible generative AI users while highlighting the importance of original work and creativity. Another challenge is also how can faculty decide on the appropriate amount of AI usage in student assignments: what is acceptable and what will fall under plagiarism. To address these challenges and to encourage students to be creative while still be responsible using AI-based platforms, a series of examples and exercises are designed to be incorporated in the engineering and engineering technology courses. The goal of these examples is to teach students how can they use AI-based tools, such as ChatGPT, to improve their work, however also to teach them to not to solely rely on outcomes from ChatGPT. The examples also will provide students opportunity to be able to identify the relevance and reliability of the information they may get from AI-based tools. In this paper, the authors will share sample examples and implementation procedures for the examples along with assessment tools faculty can use to assess the examples.
Altuger-Genc, G., & Tatoglu, A. (2024, October), Integrating AI in Engineering Education: A Five-Phase Framework for Responsible ChatGPT Use Paper presented at 2024 Fall ASEE Mid-Atlantic Section Conference, Farmingdale State College, NY, New York. 10.18260/1-2--49447
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