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Zhu Explores How AI Can Support Student Thinking Without Replacing It

Jiayan Zhu is a Ph.D. student in the COE's Teaching, Learning, and Technology program, where she investigates how artificial intelligence (AI) can support meaningful learning in STEM education. Her research centers on human–AI collaboration, with a particular interest in how learners can work effectively with AI while maintaining an active role in their own learning. She explores how learners can engage with AI as a collaborative peer while developing the ability to monitor their own understanding, critically evaluate AI-generated information, and make thoughtful decisions about when and how to use AI. Her work asks how AI can support learning without replacing the thinking and self-regulation that learners need to develop for themselves.

Subhah Khan: An Interdisciplinary Path to Pedagogy

A Fulbright Scholar from Kashmir, Pakistan), Subhah Khan’s journey to educational technology began with a rich, interdisciplinary background that bridges economics, political science, and anthropology. It was during her undergraduate years that she discovered a quiet but persistent passion for the transformative power of education. From designing curricula on environmental conservation to researching learning analytics, Khan realized how deeply pedagogy impacts real-world equity.

Now pursuing her M.Ed. in Teaching, Learning, and Technology, she has found a program that channels her drive for systemic change.

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