Revolutionizing Engineering Education: The Impact of AI Tools on Student Learning
- Conference
- Location
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Portland, Oregon
- Publication Date
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June 23, 2024
- Start Date
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June 23, 2024
- End Date
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July 12, 2024
- Conference Session
- Tagged Division
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Computers in Education Division (COED)
- Page Count
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12
- Permanent URL
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https://strategy.asee.org/47950
Paper Authors
Sofia M Vidalis Pennsylvania State University
Sofia Vidalis is an associate professor in the Department of Civil Engineering/Structural Design and Construction Engineering Technology at Penn State Harrisburg. She received her Ph.D., Masters, and Bachelors in Civil Engineering from the University of Florida.
Rajarajan Subramanian Pennsylvania State University
Rajarajan Subramanian is currently serving as an Associate Teaching Professor of Civil Engineering and Construction (SDCET) programs at Pennsylvania State University at Harrisburg. Previously, he worked as a Transportation Engineer at the Maryland State Highway Administration. He has 25 years of teaching experience (including at Annamalai University, India, and Linton Institute of Technology, Malaysia). He worked as a "Transportation Engineer" in the Government and private industry sectors for 10 years in the U.S.A.
Fazil T. Najafi University of Florida
For more than 40 years, Dr. Najafi has worked in government, industry, and education. He earned a BSCE 1963 from the American College of Engineering, University of Kabul, Afghanistan. In 1966, Dr. Najafi earned a Fulbright scholarship and did his B.S., MS, and Ph.D. degree in Civil Engineering at Virginia Polytechnic Institute and State University, Blacksburg, Virginia; his experience in industry and government includes work as a Highway Engineer, Construction Engineer, Structural, Mechanical, and Consultant Engineer. Dr. Najafi taught at Villanova University, Pennsylvania, and was a visiting professor at George Mason University and a professor at the University of Florida, Department of Civil and Coastal Engineering. He has received numerous awards, such as Fulbright scholarship, teaching awards, best paper awards, community service awards, and admission as an Eminent Engineer into Tau Beta Pi. The Florida Legislature adopted his research on passive radon-resistant new residential building construction in the HB1647 building code of Florida. Najafi is a member of numerous professional societies and has served on many committees and programs; and continuously attends and presents refereed papers at international, national, and local professional meetings and conferences. Lastly, Najafi attends courses, seminars, and workshops and has developed courses, videos, and software packages during his career. Najafi has more than 300 refereed articles. His areas of specialization include transportation planning and management, legal aspects, construction contract administration, public works, and Renewable Energy.
Abstract
The rapid advancement of artificial intelligence has led to the integration of chatbots like ChatGPT into various sectors, including education. This study investigates the impact of many AI tools on engineering education, focusing on their potential to enhance learning outcomes and improve student engagement The integration of AI tools has the potential to significantly impact student learning, bridging the gap between theoretical knowledge and practical application. This paper aims to explore the impact of AI tools on student learning in engineering education. AI tools offer numerous benefits in engineering education, providing students with interactive and immersive learning experiences. These tools enable students to apply their theoretical knowledge in real-world scenarios, enhancing their understanding and problem-solving skills. By utilizing a student survey, educators can gather invaluable feedback on the effectiveness of these AI tools, allowing for continuous improvement and customization to meet individual student needs. Through the data collected from the student survey, educators can gain insights into the specific areas where AI tools have positively impacted student learning. This information can guide curriculum development, ensuring that the incorporation of AI tools aligns with the desired learning outcomes. Furthermore, the student survey can provide vital feedback on areas where improvements are needed, allowing educators to address any challenges faced by the students in utilizing AI tools effectively.
Vidalis, S. M., & Subramanian, R., & Najafi, F. T. (2024, June), Revolutionizing Engineering Education: The Impact of AI Tools on Student Learning Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. https://strategy.asee.org/47950
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