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Session Description

From syllabus policies to AI-assisted learning and generative AI tools, the papers in this session highlight various machine learning and artificial intelligence systems and policies that support engineering education.

Moderated by

1. Dr. Tammy VanDeGrift

Papers Presented

1. Machine Learning Tools in the Technical Writing Classroom: A Modular Approach [view paper]
   
   Dr. Alyson G. Eggleston (Pennsylvania State University) and Dr. Robert J. Rabb P.E. (The Pennsylvania State University)
2. A Department’s Syllabi Review for LLM Considerations Prior to University-standard Guidance [view paper]
   
   Lucas J. Wiese (Purdue University at West Lafayette) and Dr. Alejandra J. Magana (Purdue University at West Lafayette )
3. Bark Plug: The ChatGPT of the Bagley College of Engineering at Mississippi State University [view paper]
   
   Dr. Jason M. Keith (Mississippi State University), Amin Amirlatifi (Mississippi State University), Shahram Rahimi (Mississippi State University), Subash Neupane (Mississippi State University), and Sudip Mittal (Mississippi State University)
4. How AI Assisted K-12 Computer Science Education: A Systematic Review [view paper]
   
   Zifeng Liu (University of Florida), Rui Guo (University of Florida), Xinyue Jiao (New York University), Xueyan Gao (University of Florida), Hyunju Oh (University of Florida), and Wanli Xing (University of Florida)
5. Revolutionizing Engineering Education: The Impact of AI Tools on Student Learning [view paper]
   
   Dr. Sofia M Vidalis (Pennsylvania State University), Dr. Rajarajan Subramanian (Pennsylvania State University), and Dr. Fazil T. Najafi (University of Florida)