Asee peer logo

Artificial Intelligence Tools that Enhance Engineering Education

Download Paper |

Conference

ASEE Mid-Atlantic Section Spring Conference

Location

George Washington University, District of Columbia

Publication Date

April 19, 2024

Start Date

April 19, 2024

End Date

April 20, 2024

Tagged Topic

Diversity

Page Count

10

DOI

10.18260/1-2--45705

Permanent URL

https://peer.asee.org/45705

Download Count

17

Request a correction

Paper Authors

biography

Rajarajan Subramanian Pennsylvania State University, Harrisburg, The Capital College

visit author page

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.

visit author page

biography

Sofia M Vidalis Pennsylvania State University, Harrisburg, The Capital College

visit author page

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 F

visit author page

Download Paper |

Abstract

Personalized and electronic learning has been growing rapidly in recent years and is continuing to grow. The future brings a more immersive and interactive approach to education which has revolutionized the way students learn and apply engineering concepts. Several Artificial Intelligence (AI) tools are used in engineering education, such as virtual simulations, machine learning models, artificial intelligence algorithms, and computer-aided design software. Some of the AI chatbots let users ask questions and get responses conversationally. An AI tool “Image Creator” generates AI images based on text typed in by humans. These tools will be discussed in this paper to explain how they can enhance student learning in engineering education.

Some of these tools have been used in classrooms and shown to assist students in understanding complex theories, simulating real-world scenarios, and problem-solving. By incorporating some of these technologies into the classroom, educators can enhance their learning experiences and prepare students for the challenges of the 21st century in the engineering industry.

This paper illustrates a few case studies on integrating these tools in the classroom. This paper also explains the outcome of the student's perspective in using them. In addition, the paper also covers other programs using these tools that may also encourage critical thinking, stimulate real-world scenarios, and solve problems more effectively. Overall, using these tools should provide students with valuable skills and knowledge that will benefit them in their future careers and be in tune with the new technology that the industry offers.

Subramanian, R., & Vidalis, S. M. (2024, April), Artificial Intelligence Tools that Enhance Engineering Education Paper presented at ASEE Mid-Atlantic Section Spring Conference, George Washington University, District of Columbia. 10.18260/1-2--45705

ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2024 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015