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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.

Winona Thatcher: Aligning Career with Core Values

Winona Thatcher always knew that she wanted people to be the center of her career. However, after completing her undergraduate degree, she took a series of positions that didn't quite align with that core value. It took some soul searching that ultimately lead her to Lehigh University's College of Education—a place where her passion and profession finally clicked.

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