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.
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, Virginia Tech Graduate Instructors, Blacksburg, VA
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.
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, GAI use, and contemporary literature about cheating.
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.
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 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.
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.
Conference Presentation, 2025 ASEE Annual Conference & Exposition, Montreal, QC, Canada
Arguing for greater psychological interrogation of “engineering judgment” as a form of epistemic cognition in engineering education.
Conference Presentation, 2025 ASEE Annual Conference & Exposition, Montreal, QC, Canada
Exploring the use of LLMs to evaluate types of knowledge described in computer science textbooks.
Invited Student, Board of Visitors, Virginia Tech, Blacksburg, VA
Discussed research on GAI adoption in higher education and ongoing projects examining workplace technology integration with university leadership.
Conference Poster, 2024 Capstone Design Conference, Knoxville, TN
Poster presentation examining the differing prevalence of collaborative behavioral choices among capstone engineering students.
Panelist, 2024 Capstone Design Conference, Knoxville, TN
Panel discussion examining teamwork dynamics and collaborative practices in capstone engineering workplace contexts.
Conference Presentation, 2024 ASEE Annual Conference & Exposition, Portland, OR
Examining decision-making in engineering student workplace teams through the lens of the Reasoned Action Approach.
Panelist, Virginia Tech Interdisciplinary Capstone (IDC) Course, Blacksburg, VA
Discussion of engineering industry workplace practices and career pathways with capstone students.