Exploring the Impact and the Use of Generative Models in Computer Engineering Education

Project Overview

This project aims to investigate the implications of Generative Models (GMs) for computer engineering education by investigating if tools, such as ChatGPT, enable students to acquire higher-order and critical thinking skills, without compromising lower-order skills such as knowledge of syntax. Through ECE 264 and ECE 368, two foundational courses, the team will measure both how well a GM performs compared to the average Purdue ECE student and if students perform better when using a GM.

Project Team

• Aravind Kumar Machiry, Assistant Professor, Electrical and Computer Engineering
• James Davis, Assistant Professor, Electrical and Computer Engineering
• Justin Hess, Assistant Professor, Engineering Education
• Young-Hsiang Lu, Professor, Electrical and Computer Engineering
• Carla Zoltowski, Assistant Professor, Electrical and Computer Engineering
• Thomas Gerrish, Assistant Professor, Libraries and School of Information Studies