Zhang, Z., & Chang, Y. (2024, October), LEVERAGING GENERATIVE AI TO ENHANCE ENGINEERING EDUCATION AT BOTH LOW-LEVEL AND HIGH-LEVEL STUDY  Paper presented at 2024 Fall ASEE Mid-Atlantic Section Conference, Farmingdale State College, NY, New York. 10.18260/1-2--49450

\bibitem{asee_peer_49450}
  Zhang, Z., \& Chang, Y. (2024, October), \emph{LEVERAGING GENERATIVE AI TO ENHANCE ENGINEERING EDUCATION AT BOTH LOW-LEVEL AND HIGH-LEVEL STUDY}
  Paper presented at 2024 Fall ASEE Mid-Atlantic Section Conference, Farmingdale State College, NY, New York.
  10.18260/1-2--49450

Zhou Zhang and Yizhe Chang.  "LEVERAGING GENERATIVE AI TO ENHANCE ENGINEERING EDUCATION AT BOTH LOW-LEVEL AND HIGH-LEVEL STUDY".  2024 Fall ASEE Mid-Atlantic Section Conference, Farmingdale State College, NY, New York, 2024, October.  ASEE Conferences, 2024.  https://peer.asee.org/49450 Internet.  25 Mar, 2025

\bibitem{asee_peer_49450}
  Zhou Zhang and Yizhe Chang.
  "LEVERAGING GENERATIVE AI TO ENHANCE ENGINEERING EDUCATION AT BOTH LOW-LEVEL AND HIGH-LEVEL STUDY".
  \emph{2024 Fall ASEE Mid-Atlantic Section Conference, Farmingdale State College, NY, New York, 2024, October}.
  ASEE Conferences, 2024.
  https://peer.asee.org/49450 Internet.  25 Mar, 2025

@INPROCEEDINGS{asee_peer_49450
author = "Zhou Zhang and Yizhe Chang"
title = "LEVERAGING GENERATIVE AI TO ENHANCE ENGINEERING EDUCATION AT BOTH LOW-LEVEL AND HIGH-LEVEL STUDY"
booktitle = "2024 Fall ASEE Mid-Atlantic Section Conference"
year = "2024"
month = "October"
address = "Farmingdale State College, NY, New York"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/49450}
number = {10.18260/1-2--49450}
}

TY  - CPAPER
AB  - Generative Artificial Intelligence (AI) has emerged as a transformative tool across diverse sectors, showcasing groundbreaking innovations such as ChatGPT, Dolly, and PopAI. As AI technologies continue to permeate education, discussions surrounding their pros and cons intensify. On the other hand, engineering students face multifaceted challenges, with lower-level classes requiring transitions to lifelong learning, critical thinking, and practical-theoretical integration, while higher-level classes demand knowledge expansion and adept application of theoretical concepts. Integrating practical projects into engineering education is a common and effective method to help students confront these challenges. However, students often grapple with constraints like time limitations, creative hurdles, knowledge gaps, asynchronous guidance, and narrow horizons. The integration of Generative AI presents novel solutions to these obstacles, enhancing project development and fostering heightened levels of creativity and efficiency. After implementing Generative AI technologies for two semesters, the outcomes are notably encouraging, with student projects exhibiting marked improvements in quality, depth, and originality, and the integration of AI tools fostering a culture of lifelong learning and innovation among students. Nonetheless, ethical considerations, notably concerning plagiarism, demand meticulous attention, with rigorous measures for detection and prevention imperative to uphold academic integrity. In conclusion, the integration of Generative AI signifies a paradigm shift in engineering education, enriching learning outcomes and nurturing innovation and lifelong learning, while steadfastly upholding academic integrity through rigorous ethical considerations.
AU  - Zhou Zhang
AU  - Yizhe Chang
CY  - Farmingdale State College, NY, New York
DA  - 2024/10/25
PB  - ASEE Conferences
TI  - LEVERAGING GENERATIVE AI TO ENHANCE ENGINEERING EDUCATION AT BOTH LOW-LEVEL AND HIGH-LEVEL STUDY
UR  - https://peer.asee.org/49450
DO  - 10.18260/1-2--49450
ER  -