2024 ASEE Annual Conference & Exposition

This exploratory literature review delves into the perceptions and implications of ChatGPT within engineering education, based on publications from December 2022 to October 2023. It aims to uncover how this generative AI, known for its natural language processing prowess, influences pedagogical practices and learning outcomes in the engineering field. The research question addressed in this literature review is "What are the perceptions related to implications ChatGPT may have on the future of engineering education?”. This question investigates the anticipated impacts of ChatGPT on the future of engineering education, extending to its potential applications, limitations, and broader educational implications.
The review adopts a exploratory approach, utilizing a qualitative methodology to sift through relevant literature, guided by keywords related to ChatGPT and engineering education. Key findings suggest that ChatGPT can significantly bolster constructivist learning by supporting problem-solving, hands-on learning, and experiential activities. The review also sheds light on how ChatGPT has been integrated into engineering education, assessing its effectiveness through various pedagogical frameworks and evaluation methodologies, including formative and summative assessments. The study also contemplates the ethical considerations and challenges associated with integrating ChatGPT into educational settings, particularly concerning academic integrity and the ethical use of AI. By juxtaposing different perspectives and methodologies, the review encapsulates a holistic view of ChatGPT's pedagogical potential and its limitations.
This exploratory literature review not only expands our understanding of the pedagogical implications of ChatGPT in engineering education, but also lays the groundwork for future research. It underscores the importance of leveraging the technological advances and benefits of AI in education, advocating a nuanced approach to integrating ChatGPT into the educational landscape. The results of this review hope to provide valuable insights into assessment methods, help educators evaluate the effectiveness of ChatGPT in engineering education, and pave the way for future research in this rapidly evolving field.