In preparation for Organizational Research Methods
Recommended citation: Gerhardt, M., & Katz, A. (In Preparation). The Problem With Prompting: Using Decision Models for Traceable and Justifiable GenAI-Infused Qualitative Data Analysis. Organizational Research Methods.
Forthcoming in 2027 International Handbook of Engineering Education Research Methods, 2027
Recommended citation: Gerhardt, M., Coloyan Fleming, G., Wei, S., & Katz, A. (2027). (In Press) Leveraging Large Language Models in Engineering Education Research: Methods and Applications. 2027 International Handbook of Engineering Education Research Methods.
In preparation for Education Sciences - Special Issue: Is AI a Double-Edged Sword? Perspectives from Teachers and Students
Prepared for the Education Sciences special issue (submission deadline: 31 October 2026).
Recommended citation: Wright, C., Gerhardt, M., Clements III, H. R., Borrego, M., Knight, D., Deters, J., & Katz, A. (In Preparation). Qualitatively Investigating Master's Students' GenAI Perceptions Using the Technology-to-Performance Model. Education Sciences.
In preparation for Studies in Graduate and Postdoctoral Education
Recommended citation: Gerhardt, M. (In Preparation). Like Mushrooms: Interdisciplinary Graduate Students Are the Fungi of Higher Education Ecosystems. Studies in Graduate and Postdoctoral Education.
In preparation for European Journal of Engineering Education
Recommended citation: Gerhardt, M., & Case, J. (In Preparation). What Should Graduate Engineering Students Learn About Generative AI? A Critical Review of GAI Competency in Engineering Graduate Education. European Journal of Engineering Education.
In preparation for International Journal of Qualitative Methods - Special Issue on Digital Transformation in Qualitative Research: Ethically Approaching New Methodological Horizons
Recommended citation: Gerhardt, M., Werth, A., & Kim, S. (In Preparation). Revisiting Transcription in the Age of AI: A Critical Review of Transcription in Qualitative Research. International Journal of Qualitative Methods.
Under review at International Journal of Qualitative Methods - Special Issue on Artificial Intelligence in the Analysis of Qualitative Data
Recommended citation: Gerhardt, M., Shiekh, K., Katz, A., & Chaback, B. E. (Submitted). Refutable Reflexivity: A Theoretical and Visual Model for LLM-Infused Qualitative Research. International Journal of Qualitative Methods.
Under review at Trends in Higher Education
Recommended citation: Gerhardt, M., Sun, S., Katz, A., Knight, D., Deters, J., Borrego, M., Budhathoki, R., & Clements III, H. R. (Submitted). Decade-Long Analysis of Skills Across 1 Million Graduate-Level Job Advertisements. Trends in Higher Education.
In preparation for Computers & Education: Artificial Intelligence
Recommended citation: Gerhardt, M., Katz, A., & Hooshangi, S. (In Preparation). What is Appropriate AI Use? Perceptions of Addictive AI Use Among STEM Graduate Student Coders. Computers & Education: Artificial Intelligence.
Under review at Studies in Engineering Education - Special Issue on GAI in Methods
Recommended citation: Gerhardt, M., & Katz, A. (Submitted). Improving Engineering Education GAI Qualitative Research Workflow Quality: Techniques and Documentation Strategies. Studies in Engineering Education.
Published in International Journal of Engineering Education - Special Issue for Capstone Design, 2025
Recommended citation: Gerhardt, M., Madboly, M., Pitterson, N., Dringenberg, E., & Ahn, B. (2025). Collaborative (in)decision: A Preliminary Investigation of the Differences in Undergraduate Engineering Capstone Students’ Collaborative Behaviors. International Journal of Engineering Education, 41(4), 872–888.
Published in International Journal of Qualitative Methods, 2024
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Recommended citation: Katz, A., Gerhardt, M., & Soledad, M. (2024). Using Generative Text Models to Create Qualitative Codebooks for Student Evaluations of Teaching. International Journal of Qualitative Methods, 23, 16094069241293283. https://doi.org/10.1177/16094069241293283
Under review at In the proceedings of 2027 ASEE Annual Conference & Exposition
Recommended citation: Gerhardt, M., Shiekh, K., Chaback, B. E., & Katz, A. (2027). (Submitted) WIP: The Challenge of Any Technology? Intergenerational Sense-Making About GenAI Systems in Engineering Education. 2027 ASEE Annual Conference & Exposition, Toronto, Ontario, Canada.
Under review at Symposium on Educational Advances in Artificial Intelligence (EAAI-27)
Recommended citation: Gerhardt, M., Hooshangi, S., Das, S., & Katz, A. (2027). (Submitted) The Jagged Edge of Adoption: Comparing GenAI Adoption Between Coding and Non-Coding STEM Graduate Students. Proceedings of the Symposium on Educational Advances in Artificial Intelligence (EAAI-27).
Forthcoming in In the proceedings of the 36th Australasian Association for Engineering Education Annual Conference, 2026
Recommended citation: Clements III, H. R., Deters, J., Gerhardt, M., Sun, S., Knight, D., Borrego, M., Katz, A., & Budhathoki, R. (2026, October). WIP: Unpacking Mechanical Engineering Students' Career Goals, Skill Development, and Perspectives on Industry. 36th Australasian Association for Engineering Education Annual Conference.
Published in In the proceedings of 2026 ASEE Annual Conference & Exposition, 2026
Recommended citation: Chaback, B. E., Katz, A., & Gerhardt, M. (2026). When Can AI be Used Anyway? An Analysis of Engineering Faculty’s Generative AI Policies. 2026 ASEE Annual Conference & Exposition Proceedings, 60771. https://doi.org/10.18260/1-2--60771
Published in In the proceedings of 2026 ASEE Annual Conference & Exposition, 2026
Recommended citation: Clements III, H. R., Gerhardt, M., Sun, S., Budhathoki, R., Borrego, M., Deters, J., Katz, A., & Knight, D. (2026, June). RFE: Understanding the Master's Engineering Workforce Landscape: Employer Demands and Student Goals. 2026 ASEE Annual Conference & Exposition.
Published in In the proceedings of 2026 ASEE Annual Conference & Exposition, 2026
Recommended citation: Gerhardt, M., Shiekh, K., Katz, A., & Chaback, B. E. (2026, June). It's like "X": How Engineering Faculty Metaphors Construct (and Constrain) GAI Understanding in Engineering Education. 2026 ASEE Annual Conference & Exposition.
Published in In the proceedings of 2026 ASEE STL Conference, 2026
Recommended citation: Shiekh, K. N., Chaback, B. E., Gerhardt, M., & Katz, A. (2026, April 24–25). Inside the Mental Models: Instructor’s Conceptions on Generative Artificial Intelligence. 2026 STL Annual Conference, Ithaca, NY.
Published in In the proceedings of 2025 ASEE Annual Conference & Exposition, 2025
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Recommended citation: Gerhardt, M., Robinson, M., & Faulkner, B. (2025). Beyond Calculations: Engineering Judgment as Epistemic Cognition in Engineering Education. 2025 ASEE Annual Conference & Exposition Proceedings, 55504. https://doi.org/10.18260/1-2--55504
Published in In the proceedings of 2025 ASEE Annual Conference & Exposition, 2025
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Recommended citation: Gerhardt, M., & Katz, A. (2025). Automated Analysis of Knowledge Types in Computer Science Textbooks: A Natural Language Processing Approach to Understanding Epistemic Climate. 2025 ASEE Annual Conference & Exposition Proceedings, 55491. https://doi.org/10.18260/1-2--55491
Published in In the proceedings of 2024 ASEE Annual Conference & Exposition, 2024
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Recommended citation: Gerhardt, M., Pitterson, N. P., Dringenberg, E., & Ahn, B. (2024, June 23). Reimagining Behavioral Analysis in Engineering Education: A Theoretical Exploration of Reasoned Action Approach. 2024 ASEE Annual Conference & Exposition, Portland, Oregon.