Talks and Presentations

Scholarly Ethics

September 28, 2026

Guest Lecture, GRAD 5004: Graduate Teaching Assistant Workshop, Virginia Tech (Dr. Kevin Eager), Blacksburg, VA

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.

Defining "Appropriate" Generative AI Use for Graduate Students

September 23, 2026

Invited Presentation, Department of Agricultural, Leadership, and Community Education, Virginia Tech, Blacksburg, VA

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.

It's like "X": How Engineering Faculty Metaphors Construct (and Constrain) GAI Understanding in Engineering Education

June 23, 2026

Conference Presentation, 2026 ASEE Annual Conference & Exposition, Charlotte, NC

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.

Impact of Generative AI Applications on Current Doctoral Practices and Implications for the Future

June 23, 2026

Panelist, 2026 ASEE Annual Conference & Exposition, Charlotte, NC

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.

Workshop on GAI Course Policies for Virginia Tech Graduate Instructors

March 26, 2026

Workshop, Virginia Tech Graduate Instructors, Blacksburg, VA

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.

Scholarly Ethics

February 01, 2026

Guest Lecture, GRAD 5004: Graduate Teaching Assistant Workshop, Virginia Tech (Dr. Kevin Eager), Blacksburg, VA

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.

AI Research Ethics in Engineering Education

December 01, 2025

Guest Lecture, ECE Graduate Student Seminar, University of Pittsburgh, Pittsburgh, PA

Co-presented with Andrew Katz to ECE graduate students examining ethical dimensions of AI research in educational contexts.

Large Language Models in Qualitative Engineering Education Research: Technical Methods and Methodological Considerations

November 01, 2025

Guest Lecture, ME 397/379M Qualitative Research Methods, University of Texas at Austin (Dr. Maura Borrego), Austin, TX

Examined human vs. machine pattern recognition, current GenAI 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.

Large Language Models and Sociotechnical Applications in Engineering Education Research

October 01, 2025

Invited Presentation, Cornell DBER Research Group (2 presentations), Cornell University, Ithaca, NY

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.

GAI Adoption in Higher Education

May 01, 2025

Invited Student, Board of Visitors, Virginia Tech, Blacksburg, VA

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