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portfolio
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publications
Using Generative Text Models to Create Qualitative Codebooks for Student Evaluations of Teaching
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
Reimagining Behavioral Analysis in Engineering Education: A Theoretical Exploration of Reasoned Action Approach
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.
Collaborative (In)decision: A Preliminary Investigation of the Differences in Undergraduate Engineering Capstone Students' Collaborative Behaviors
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.
Automated Analysis of Knowledge Types in Computer Science Textbooks: A Natural Language Processing Approach to Understanding Epistemic Climate
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
Beyond Calculations: Engineering Judgment as Epistemic Cognition in Engineering Education
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
Decade-Long Analysis of Skills in Mechanical Engineering Job Advertisements 2010-2022
Published in ASME Journal of Mechanical Design, 2026
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 in Mechanical Engineering Job Advertisements 2010-2022. ASME Open Journal.
Inside the Mental Models: Instructor’s Conceptions on Generative Artificial Intelligence
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). Inside the Mental Models: Instructor’s Conceptions on Generative Artificial Intelligence. 2026 STL Annual Conference, Ithaca, NY.
It's like "X": How Engineering Faculty Metaphors Construct (and Constrain) GAI Understanding in Engineering Education
Published in In the proceedings of 2026 ASEE Annual Conference & Exposition, 2026
Recommended citation: Gerhardt, M., Shiekh, K., Katz, A., & Chaback, B. (2026, June). It's like "X": How Engineering Faculty Metaphors Construct (and Constrain) GAI Understanding in Engineering Education. 2026 ASEE Annual Conference & Exposition.
When Can GAI be Used Anyway? An Analysis of Engineering Faculty's Generative AI Policies
Published in In the proceedings of 2026 ASEE Annual Conference & Exposition, 2026
Recommended citation: Chaback, B., Gerhardt, M., Katz, A., & Shiekh, K. (2026, June). When Can GAI be Used Anyway? An Analysis of Engineering Faculty's Generative AI Policies. 2026 ASEE Annual Conference & Exposition.
Improving Engineering Education GAI Qualitative Research Workflow Quality: Techniques and Documentation Strategies
Published in Studied in Engineering Education - Special Issue on GAI in Methods, 2026
Recommended citation: Gerhardt, M., & Katz, A. (Submitted). Improving Engineering Education GAI Qualitative Research Workflow Quality: Techniques and Documentation Strategies. Studied in Engineering Education.
Mechanical Engineering Students’ Perspectives on Career Goals, Skills, and Industry
Published 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.
Addictive GAI Use Among STEM Graduate Students: Dependency-Based Technological Diffusion
Published in Technical Symposium on Computer Science Education (SIGCSE TS) 2027, 2026
Recommended citation: Gerhardt, M., Katz, A., & Hooshangi, S. (2027). (Submitted) What is Appropriate AI Use? Perceptions of Addictive AI Use Among STEM Graduate Student Coders. Proceedings of the 58th ACM Technical Symposium on Computer Science Education
Leveraging Large Language Models in Engineering Education Research: Methods and Applications
Published in 2027 International Handbook of Engineering Education Research Methods, 2027
Recommended citation: Gerhardt, M., Coloyan Fleming, G., Wei, S., & Katz, A. (2027). (In Preparation) Leveraging Large Language Models in Engineering Education Research: Methods and Applications. 2027 International Handbook of Engineering Education Research Methods.
talks
Engineering Industry Practices and Career Pathways
Published:
Discussion of engineering industry workplace practices and career pathways with capstone students.
Reimagining Behavioral Analysis in Engineering Education: A Theoretical Exploration of Reasoned Action Approach
Published:
Examining decision-making in engineering student workplace teams through the lens of the Reasoned Action Approach.
Teamwork Dynamics and Collaborative Practices in Capstone Engineering
Published:
Panel discussion examining teamwork dynamics and collaborative practices in capstone engineering workplace contexts.
Why do capstone students choose to perform behaviors? Differing prevalence in collaborative choices
Published:
Poster presentation examining the differing prevalence of collaborative behavioral choices among capstone engineering students.
GAI Adoption in Higher Education
Published:
Discussed research on GAI adoption in higher education and ongoing projects examining workplace technology integration with university leadership.
Automated Analysis of Knowledge Types in Computer Science Textbooks: A Natural Language Processing Approach to Understanding Epistemic Climate
Published:
Exploring the use of LLMs to evaluate types of knowledge described in computer science textbooks.
Beyond Calculations: Engineering Judgment as Epistemic Cognition in Engineering Education
Published:
Arguing for greater psychological interrogation of “engineering judgment” as a form of epistemic cognition in engineering education.
Large Language Models and Sociotechnical Applications in Engineering Education Research
Published:
Presented technical background of large language models, AI history, and sociotechnical applications in engineering education research. Demonstrated how computational methods intersect with critical perspectives on workplace learning and expertise.
Large Language Models in Qualitative Engineering Education Research: Technical Methods and Methodological Considerations
Published:
Examined human vs. machine pattern recognition, current GAI approaches for qualitative research, researcher positionality, translational challenges, and shifting definitions of “intelligence.” Addressed methodological questions about computational approaches to qualitative work and implications for research practice.
AI Research Ethics in Engineering Education
Published:
Co-presented with Andrew Katz to ECE graduate students examining ethical dimensions of AI research in educational contexts.
Scholarly Ethics
Published:
Presentation to incoming GTAs at Virginia Tech, addressing topics like academic and professional integrity, the VT Undergraduate and Graduate Honor Systems, GTA integrity responsibilities, GAI use, and contemporary literature about cheating.
Workshop on GAI Course Policies for Virginia Tech Graduate Instructors
Published:
Initiated and led a three-student group to organize a workshop for Virginia Tech graduate instructors about GAI course policies. Addressing a critical need through participatory instruction and activities that promote GAI literacy. Received IRB approval to study the workshop’s implementation and effectiveness, with plans to publish results. Leveraging networks and existing partnerships with the Graduate Honor System (GHS), the Center for Excellence in Teaching and Learning (CETL), the center for Technology-Enhanced Learning and Online Strategies (TLOS), and departmental leadership to host and market the event.
Impact of Generative AI Applications on Current Doctoral Practices and Implications for the Future
Published:
Special session critically examining the use of GenAI within doctoral training and education. In addition to expert opinions, it gave participants the opportunity to contribute to ongoing discussion on the topic and provide guidance and feedback on what basic guidelines for use of GenAI within doctoral education should look like.
It's like "X": How Engineering Faculty Metaphors Construct (and Constrain) GAI Understanding in Engineering Education
Published:
Presenting work examining the figurative language used to describe “AI” from engineering instructors from Spring 2025. Findings revealed wide variety in conceptualizations of AI, raising the imperative for faculty developers to work as “translators” between meaning-making systems.
teaching
Fulbright Brazil Workshop: Innovating Engineering Education with Generative AI
Workshop, INOVA.USP, Campus da Cidade Universitária, 2025
I assisted my advisor, Dr. Andrew Katz, along with Dr. Dayoung Kim, in delivering a three-day workshop hosted by Fulbright Brazil exploring how generative AI can transform engineering education. The workshop brought together university educators, industry experts, and thought leaders from across Brazil and beyond.