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BOARD # 72: Leveraging Large Language Models to Create Interactive Online Resources for Digital Systems and Computer Architecture Education

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Conference

2025 ASEE Annual Conference & Exposition

Location

Montreal, Quebec, Canada

Publication Date

June 22, 2025

Start Date

June 22, 2025

End Date

August 15, 2025

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Tagged Division

Computers in Education Division (COED)

Page Count

13

DOI

10.18260/1-2--55888

Permanent URL

https://peer.asee.org/55888

Download Count

5

Paper Authors

biography

Peter Jamieson Miami University

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Dr. Jamieson is an assistant professor in the Electrical and Computer Engineering department at Miami University. His research focuses on Education, Games, and FPGAs.

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Ricardo Ferreira Universidade Federal de Viçosa

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José Nacif Universidade Federal de Viçosa

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Abstract

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.

Jamieson, P., & Ferreira, R., & Nacif, J. (2025, June), BOARD # 72: Leveraging Large Language Models to Create Interactive Online Resources for Digital Systems and Computer Architecture Education Paper presented at 2025 ASEE Annual Conference & Exposition , Montreal, Quebec, Canada . 10.18260/1-2--55888

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