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Session Description

The papers in this session present results from deploying machine learning and artificial intelligence tools in support of teaching engineering, computing, and mathematics topics.

Moderated by

1. Dr. Debarati Basu

Papers Presented

1. ChatGPT and Me: Collaborative Creativity in a Group Brainstorming with Generative AI [view paper]
   
   Mr. Han Kyul Kim (University of Southern California), Aleyeh Roknaldin (University of Southern California), Shriniwas Prakash Nayak (University of Southern California), Mr. Xiaoci Zhang (University of Southern California), Muyao Yang (University of Southern California), Marlon Twyman (University of Southern California), Angel Hsing-Chi Hwang (Cornell University), and Dr. Stephen Lu (University of Southern California)
2. Integrating ChatGPT in an Introductory Engineering Undergraduate Course as a Tool for Feedback [view paper]
   
   Dr. Anthony Cortez (Point Loma Nazarene University) and Dr. Paul Daniel Schmelzenbach (Point Loma Nazarene University)
3. Optimizing Database Query Learning: A Generative AI Approach for Semantic Error Feedback [view paper]
   
   Abdulrahman AlRabah (University of Illinois Urbana-Champaign), Sophia Yang (University of Illinois Urbana-Champaign), and Dr. Abdussalam Alawini (University of Illinois Urbana-Champaign)
4. WIP: AI-based Sentiment Analysis and Grader Enhancements [view paper]
   
   Mr. Bobby F Hodgkinson (University of Colorado Boulder) and Nathan Eric Whittenburg (University of Colorado Boulder)
5. The Seamless Integration of Machine Learning Education into High School Mathematics Classrooms [view paper]
   
   Hyunju Oh (University of Florida), Rui Guo (University of Florida), Dr. Wanli Xing (University of Florida), Zifeng Liu (University of Florida), Yukyeong Song (University of Florida), and Chenglu Li (The University of Utah)