2025 ASEE Annual Conference & Exposition

This paper explores the innovative use of Large Language Models (LLMs) to help create interactive
online educational resources for digital system design and computer architecture courses, typically
in electrical and computer engineering undergraduate courses. We present a framework that uses
LLMs and existing online tools such as Google Colab and Gradio to rapidly develop and deploy
interactive simulations, exercises, and automated grading systems to help learners work in the
space with minimal need for up-front teacher development or full-end industrial tools associated
with them. Our approach shows how to reduce the time and effort required for instructors to create
engaging, personalized online learning experiences. We evaluate the effectiveness of this method
through a series of case studies and provide guidelines for instructors to leverage these technologies
in their courses.