My work translates educational technology tools into ethically grounded, context-aware teaching practices that promote AI literacy. I support faculty in integrating AI literacy, transparency, and responsible use within digital learning environments.

AI literacy and transparency statements are essential in digital learning environments. It's crucial to align AI use with learning outcomes to enhance educational technology. Guidance on academic integrity and responsible use of AI is necessary for effective integration. Incorporating interactive design through tools like H5P and scaffolded tasks promotes AI literacy. Reflective practice and intentional AI use contribute to a richer learning experience. By moving beyond all-or-nothing approaches, we can achieve intentional, context-aware course design that leverages educational technology effectively.
In March 2026, this work received formal Research Ethics Board approval (REB File #2026-003) to examine student agency and the integration of AI in educational technology for online course design. This approval supports ongoing scholarly inquiry into ethical AI literacy, alignment-informed assessment, and inclusive digital learning practices.

From Urgency to Intention: Creating the Conditions for Ethical AI Use in Teaching and Learning
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April 29–30, 2026 From Urgency to Intention: Practical Approaches to Ethical AI Use in Teaching and Learning with a Focus on AI literacy, digital learning, and the integration of educational technology.
May 22, 2026 From Urgency to Intention: Cultivating Ethical AI Use in Teaching and Learning through AI literacy, digital learning, and educational technology.
June 16–19, 2026
AI in Education: Ethics, Literacy, and Interactive Design
Practical Strategies for Responsible AI Use and Engaging Digital Learning through Educational Technology.
UDL-Aligned Design in Technology-Enabled Higher Education
The QM Learning Path for Inclusive Digital Course Design
(Poster Presentation)
George Brown TLX Day (Wintersession)
Less Time, More Clarity: Using the TLX Course Quality Checklist
This session introduced the TLX Course Quality Checklist as a practical, research-informed tool aimed at enhancing AI literacy, digital learning, and course clarity across various teaching modalities. The poster-style format encouraged informal dialogue and low-overload engagement, while also offering optional follow-up support for faculty in leveraging educational technology.
Facilitator: Evelyn Chan
Educational Technology & Digital Content Specialist, TLX
evelynchan.ca
This is the official website of Evelyn Chan, Educational Technology and Digital Content Specialist in Ontario, Canada.
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