APHD Colloquium: AI for Scholars: Benefits for APHD, Now and in the Future
How to Create Transparent, Standards-Driven AI Practices That Strengthen Scholarship
In this panel, Dr. Eunice Jang (APHD), Dr. Steven Coyne (Philosophy/Computer Science), Dr. Victoria Sheldon (Centre for Teaching Support and Innovation), and Dr. Olesya Falenchuk (ÃÈÃÃÉçÇø) will steer APHD students and faculty beyond private experimentation with AI toward a transparent, standards-driven practice that strengthens—not substitutes for—human scholarship.
Panelists will surface concrete frameworks for scholarly use of AI, the current and future role for both human and machine, the psychological impacts of AI use, and offer a vision for best use that elevates scholarship and public service. The session will include time for questions and discussion, and will yield a shared set of principles, practices, and opportunities that APHD scholars can engage with immediately.
Recourses
Centre for Research & Innovation Support (CRIS)
- Guide:
- Guide:
- Upcoming & Past Workshops:
Centre for Teaching Support & Innovation (CTSI)
AI Task Force
ÃÈÃÃÉçÇø the Speakers
Dr. Eunice Jang
Eunice Jang is a professor in the Department of Applied Psychology and Human Development. Her pivotal work explores the potential benefits and challenges of integrating AI within educational assessment and learning, and further delves into the potential of technology in enhancing student achievement, motivation, and well-being.
Dr. Steven Coyne
Professor Steven Coyne teaches courses in moral and political philosophy, as well as philosophy of law. He is also a faculty co-lead (and main ethicist) for the Department of Computer Science’s .
Dr. Victoria Sheldon
In her current role as Educational Developer, Teaching, Learning & Technology at the Centre for Teaching Support & Innovation (CTSI), Dr. Victoria Shelon’s portfolio focuses on generative AI in teaching. She previously served as Faculty Liaison Coordinator, Generative AI Pedagogies at CTSI. Her work centres on supporting instructors to engage meaningfully with generative AI - whether by integrating it into assignments and learning activities or by adapting assessments to address concerns around unauthorized use.
Dr. Olesya Falenchuk
Dr. Olesya Falenchuk is a Research Systems Analyst at ÃÈÃÃÉçÇø with an affiliation at the Office of Associate Dean Research, International, and Innovations. She assists ÃÈÃÃÉçÇø graduate students and faculty with all aspects of their research projects, including research design, data collection, and data analysis. Olesya holds a doctoral degree in Measurement and Evaluation.
