Manteufel, R. D. (2025, March), Assessing the Impact of Artificial Intelligence on Undergraduate Mechanical Engineering Education  Paper presented at 2025 ASEE -GSW Annual Conference, Arlington, TX, Texas. 10.18260/1-2--55029

\bibitem{asee_peer_55029}
  Manteufel, R. D. (2025, March), \emph{Assessing the Impact of Artificial Intelligence on Undergraduate Mechanical Engineering Education}
  Paper presented at 2025 ASEE -GSW Annual Conference, Arlington, TX, Texas.
  10.18260/1-2--55029

Randall D. Manteufel.  "Assessing the Impact of Artificial Intelligence on Undergraduate Mechanical Engineering Education".  2025 ASEE -GSW Annual Conference, Arlington, TX, Texas, 2025, March.  ASEE Conferences, 2025.  https://peer.asee.org/55029 Internet.  16 May, 2025

\bibitem{asee_peer_55029}
  Randall D. Manteufel.
  "Assessing the Impact of Artificial Intelligence on Undergraduate Mechanical Engineering Education".
  \emph{2025 ASEE -GSW Annual Conference, Arlington, TX, Texas, 2025, March}.
  ASEE Conferences, 2025.
  https://peer.asee.org/55029 Internet.  16 May, 2025

@INPROCEEDINGS{asee_peer_55029
author = "Randall D. Manteufel"
title = "Assessing the Impact of Artificial Intelligence on Undergraduate Mechanical Engineering Education"
booktitle = "2025 ASEE -GSW Annual Conference"
year = "2025"
month = "March"
address = "Arlington, TX, Texas"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/55029}
number = {10.18260/1-2--55029}
}

TY  - CPAPER
AB  - Since the introduction of ChatGPT in November 2022, Artificial Intelligence (AI) has been poised to significantly impact engineering education by enabling real-time problem-solving assistance, personalized learning experiences, and automated grading systems. The potential uses of AI are extensive, particularly in generating detailed responses to specific queries based on its training data. Significant investments and rapid advancements in AI tools over the past few years are expected to continue, enabling breakthroughs such as adaptive learning systems, real-time performance feedback, and enhanced simulation tools for engineering education that were previously unimaginable. However, despite widespread discussions about AI's role in enhancing engineering education, practical applications remain scarce in mechanical engineering courses and are often limited to individual activities. For example, few courses integrate AI tools into their syllabi, and most use cases are confined to optional student-driven projects or experimental course modules. Current applications are mostly observed in report writing, such as generating content drafts, paraphrasing sections, and formatting citations, and in computer programming for debugging, code optimization, and script generation. This paper highlights the need for more examples demonstrating AI's potential to enhance student learning and critical thinking in engineering courses.
AU  - Randall D. Manteufel
CY  - Arlington, TX, Texas
DA  - 2025/03/09
PB  - ASEE Conferences
TI  - Assessing the Impact of Artificial Intelligence on Undergraduate Mechanical Engineering Education
UR  - https://peer.asee.org/55029
DO  - 10.18260/1-2--55029
ER  -