I approach teaching as a process of guided inquiry.
Students learn most effectively when they investigate meaningful questions, test ideas, receive feedback, discuss alternative perspectives, and reflect on how their understanding changes.
My courses combine research, discussion, design activities, case studies, critical analysis, and applied projects. Students examine both what educational technologies can do and how those technologies influence people, institutions, and society.
When AI tools are used, the objective is not simply to produce faster answers. Students are expected to evaluate information, explain decisions, verify evidence, and remain intellectually responsible for their work.
This course introduces the design, use, and evaluation of artificial intelligence in educational settings.
Topics include:
· Generative AI
· Intelligent learning systems
· AI-supported feedback
· Learning analytics
· AI literacy
· Ethics and bias
· Privacy
· Assessment
· Educational policy
A graduate course examining the theories, practices, and research traditions that inform educational technology and learning design.
Students analyze educational needs and design evidence-informed technology-supported learning experiences.
A project-based course focused on the design of inclusive, engaging, and accessible digital learning experiences.
Students apply learning theory and design methods to develop and evaluate an educational intervention.