Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 10

Collection

2024 ASEE Annual Conference & Exposition

Authors

Susan J Ely, University of Southern Indiana; Milad Rezvani Rad, University of Southern Indiana

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

of these areas is use of ChatGPT for technical writing. It isgenerally believed that reviewing and editing articles to make sure that they are accurate and freefrom errors are among the laborious and time-consuming tasks in academia. However, this task,among many others, can be performed by using AI thanks to some promising features it offerssuch as error detection, improving text coherence, and trend identification [1]. It can also be usedfor summarization and data analysis as well, which are amazing tools for conducting academicresearch. Although using ChatGPT can facilitate the essay writing process, there is an increasingconcern about the ethical considerations and the significance of balancing AI assistance withstudents’ involvement

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 10

Collection

2024 ASEE Annual Conference & Exposition

Authors

Lawrence E. Whitman, University of Arkansas at Little Rock; Kristin Dutcher Mann, University of Arkansas at Little Rock; Amar Shireesh Kanekar, University of Arkansas at Little Rock; Albert L Baker, University of Arkansas at Little Rock; Srikanth B Pidugu P.E., University of Arkansas at Little Rock

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

specialist in the colonial history of the U.S.-Mexico Borderlands, she has authored a book and articles about music, dance, and material culture. She often works with K-12 and college faculty to incorporate reading, writing, and primary source document analysis into instruction. Her latest research is part of an interdisciplinary project to examine student perceptions of the use of large language models such as ChatGPT and Microsoft CoPilot in academic work.Dr. Amar Shireesh Kanekar, University of Arkansas at Little Rock Dr. Kanekar is a Professor and Graduate Program Coordinator for Health Education and Health Promotion at the University of Arkansas at Little Rock. His 17 years of teaching experience involves more than

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 9

Collection

2024 ASEE Annual Conference & Exposition

Authors

Rackan Sami Mansour, Texas A&M University at Qatar; Osama Desouky, Texas A&M University at Qatar; Marwa AbdelGawad, Texas A&M University at Qatar

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

evaluation methodologies identified from the literature. These methodologies focus ontools for assessing the effectiveness of AI-generated educational content. Drawing upon insightsfrom an investigation into the application of AI in educational settings, a framework for evaluatingthe quality and pedagogical value of AI-generated assessments, like MCQs and case studies, isproposed [2]. These tools are crucial for refining AI-generated content to meet the curriculum'sspecific needs and the diverse learning profiles of students in material science education, validatingthe utility and enhancing the effectiveness of AI-generated materials.The unveiling of AI-powered tools like ChatGPT has sparked considerable debate regarding theirimpact on the

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 10

Collection

2024 ASEE Annual Conference & Exposition

Authors

Nicu Ahmadi, Texas A&M University; Lance Leon Allen White, Texas A&M University; Tracy Anne Hammond, Texas A&M University

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

weighing its repercussions on human-machine dynamics. It sets the stage forfuture AEI research, emphasizing the significance of interdisciplinary studies to bring in a trulyhuman-centric and accountable AI paradigm. The research question at hand is: Can GenerativeAI, enriched by cross-disciplinary insights, take an intuitive leap to discern human emotions,driving us towards a more empathetic and ethical AI future?IntroductionThe evolution of Artificial Intelligence (AI) in recent decades has been nothing short ofremarkable, marking a paradigm shift in how machines emulate tasks traditionally performed byhumans. Take, for example, OpenAI’s ChatGPT, which has become a paradigm of AI’scapabilities in mimicking human-like conversational skills

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Stephen Andrew Wilkerson P.E., York College of Pennsylvania; Yargo Teixeira Gomes de Melo, York College of Pennsylvania; Alex Suarez, York College of Pennsylvania

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

. [Online]. Available: https://uav-en.tmotor.com/. [Accessed 14 December 2023][5]VertIQ, "Thrust Data," VertIQ, 2023. [Online]. Available: https://www.vertiq.co/thrust-data.[Accessed 14 December 2023].[6] Foxtech, "Foxtech Diamond Series Semi-Solid-State Li-ion Battery," Foxtech, 2022. [Online].Available: https://www.foxtechfpv.com/foxtech-diamond-6s-22000mah-semi-solid-state-li-ion-battery.html. [Accessed 14 December 2023].[7] M. Ramasamy, "Measurements Comparing Hover Performance of Single, Coaxial, Tandem,and Tilt-Rotor Configurations," in AHS 69th Annual Form, Phoenix, AZ, 2013[8] Microsoft Word, Google Sheets and ChatGPT were used to check Grammar and Style of thisdocument.