Research

Publications

Peer-reviewed papers, preprints, and conference proceedings from the IDEEAS Lab.

Selected Work

A short entry point into the lab's recent work on AI-assisted qualitative methods, engineering education, and decision-making.

Journal2026

Thematic analysis with open-source generative AI and machine learning: A new method for inductive qualitative codebook development

Andrew Katz, Gabriella Coloyan Fleming, Joyce B. Main

This paper introduces a novel method for developing qualitative codebooks using open-source generative AI and machine learning techniques, enabling more systematic and reproducible inductive thematic analysis.

Journal2025

Using generative AI for large-scale qualitative analysis of social media posts to understand why people leave computer science

Amanda Ross, Andrew Katz

This study uses generative AI for large-scale qualitative analysis of over 10,000 Reddit posts to understand diverse reasons why people leave computer science, including job dissatisfaction and influential factors at different stages of departure.

Journal2025

Advancing Qualitative Analysis in Professional Disaster and Risk Communication: A Comparative Study of an OpenAI ChatGPT 3.5 Model-Enabled Method for Processing Complex Public Posts

Margaret Webb, Harman Singh, Rachel Inman, Sweta Baniya et al.

This paper explores the application of ChatGPT 3.5 to advance qualitative analysis in professional disaster and risk communication research, demonstrating a comparative method for processing complex public posts.

Journal2025

Expanding possibilities for generative AI in qualitative analysis: Fostering student feedback literacy through the application of a feedback quality rubric

Katherine Drinkwater Gregg, Olivia Ryan, Andrew Katz, Mark Huerta et al.

This study investigates the reliability and utility of generative AI to apply a feedback quality rubric to peer feedback comments from first-year engineering students, exploring how LLMs can assist in qualitative analysis.

Index

Browse the full publication record

Showing 73 of 73 publications

Journal

2026

Featured

Thematic analysis with open-source generative AI and machine learning: A new method for inductive qualitative codebook development

Andrew Katz, Gabriella Coloyan Fleming, Joyce B. Main

Humanities and Social Sciences Communications

This paper introduces a novel method for developing qualitative codebooks using open-source generative AI and machine learning techniques, enabling more systematic and reproducible inductive thematic analysis.

Journal

2025

Featured

Using generative AI for large-scale qualitative analysis of social media posts to understand why people leave computer science

Amanda Ross, Andrew Katz

Journal of Engineering Education

This study uses generative AI for large-scale qualitative analysis of over 10,000 Reddit posts to understand diverse reasons why people leave computer science, including job dissatisfaction and influential factors at different stages of departure.

Journal

2025

Featured

Advancing Qualitative Analysis in Professional Disaster and Risk Communication: A Comparative Study of an OpenAI ChatGPT 3.5 Model-Enabled Method for Processing Complex Public Posts

Margaret Webb, Harman Singh, Rachel Inman, Sweta Baniya, Andrew Katz

International Journal of Disaster Risk Reduction

This paper explores the application of ChatGPT 3.5 to advance qualitative analysis in professional disaster and risk communication research, demonstrating a comparative method for processing complex public posts.

Journal

2025

Featured

Expanding possibilities for generative AI in qualitative analysis: Fostering student feedback literacy through the application of a feedback quality rubric

Katherine Drinkwater Gregg, Olivia Ryan, Andrew Katz, Mark Huerta, Susan Sajadi

Journal of Engineering Education

This study investigates the reliability and utility of generative AI to apply a feedback quality rubric to peer feedback comments from first-year engineering students, exploring how LLMs can assist in qualitative analysis.

Conference

2025

Automated Analysis of Knowledge Types in Computer Science Textbooks: A Natural Language Processing Approach to Understanding Epistemic Climate

Mitchell Gerhardt, Andrew Katz

Proceedings of the 2025 ASEE Annual Conference & Exposition

This paper uses a natural language processing approach to automatically analyze knowledge types in computer science textbooks, providing insights into the epistemic climate of educational materials.

Journal

2025

Featured

Understanding instructor decision-making in engineering education for sustainable development: a comparison of institutions in Denmark and the United States

Maya Menon, Marie C. Paretti, Jennifer M. Case, Andrew S. Katz

European Journal of Engineering Education

This comparative study examines instructor decision-making in engineering education for sustainable development across institutions in Denmark and the United States.

Conference

2024

Skill Development of Engineering and Physical Science Doctoral Students: Understanding the Role of Advisor, Faculty, and Peer Interactions

A. Alsharif, M. Denton, D. Knight, M. Borrego, A. Katz

Proceedings of the 131st Annual Conference of the American Society for Engineering Education

Publication on Skill Development of Engineering and Physical Science Doctoral Students: Understanding the Role of Advisor, Faculty, and Peer Interactions

Conference

2023

WIP: Faculty Use of Metaphors When Discussing Assessment

A. Ross, A. Katz, H. Matusovich, K. Chew

Proceedings of the 130th Annual Conference of the American Society for Engineering Education

Publication on WIP: Faculty Use of Metaphors When Discussing Assessment

Conference

2022

Understanding First-year Engineering Students’ Perceptions of Working with Real Stakeholders on a Design Project: A PBL Approach

H. Murzi, L. Fielding, M. Huerta, J. O. Alvarez, M. James, A. Katz, J. Grohs

2022 IEEE Frontiers in Education Conference (FIE)

Publication on Understanding First-year Engineering Students’ Perceptions of Working with Real Stakeholders on a Design Project: A PBL Approach