Mitch Gerhardt

Mitch Gerhardt

Department of Engineering Education Department of Computer Science

Posts by Collection

portfolio

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

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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.

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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

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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.

Voice or Speech? Fifty Years of Transcription and the Rise of AI-Based Transcription Systems

Published in International Journal of Qualitative Methods - Special Issue on Digital Transformation in Qualitative Research: Ethically Approaching New Methodological Horizons, 2026

Recommended citation: Gerhardt, M., Werth, A., & Kim, S. (In Preparation). Voice or Speech? Fifty Years of Transcription and the Rise of AI-Based Transcription Systems. International Journal of Qualitative Methods.

talks

GAI Adoption in Higher Education

Published:

Discussed research on GenAI adoption in higher education and ongoing projects examining workplace technology integration with university leadership.

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, GenAI 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 GenAI course policies. Addressing a critical need through participatory instruction and activities that promote GenAI 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.

Defining "Appropriate" Generative AI Use for Graduate Students

Published:

Invited presentation to ALCE faculty and graduate students working through what counts as “appropriate” generative AI use in their department. Rather than proposing a blanket rule, the session treats appropriateness as a question about disciplinary norms — what ALCE scholarship values in writing, analysis, and community engagement — and builds outward from there. Connects to ongoing work on GenAI course policies and graduate instructor development at Virginia Tech.

Scholarly Ethics

Published:

Return engagement with the fall cohort of incoming graduate teaching assistants at Virginia Tech, covering academic and professional integrity, how the Undergraduate and Graduate Honor Systems work in practice, the integrity responsibilities GTAs carry in their own classrooms, generative AI use, and what recent literature actually shows about cheating.

teaching

Fulbright Brazil Workshop (Part 2): Getting Dirty with Generative AI

Workshop, Virginia Tech Arlington Campus, 2026

The second half of a two-part workshop with Fulbright Brazil cultivating AI literacy among Brazilian engineering faculty. Where the São Paulo session presented foundational content on AI systems, pedagogy, ethics, and higher education governance, this session “got our hands dirty” with the same material. Put another way, trading lecture-style teaching and short breakouts for prolonged discussions and collaborations so participants could identify actionable, specific AI supports for their own teaching and institutions.