Anjali Singh

Anjali Singh is a Bullard postdoctoral fellow working with Prof. Soo Young Rieh. As a learning scientist and HCI researcher, she is interested in designing human-AI collaborative systems that encourage active and critical engagement with online information and measuring their impact on human learning and creativity. Her work has been recognized with several best paper awards at leading conferences on educational technology.

Anjali earned her PhD from the University of Michigan School of Information in 2024. Her dissertation focused on designing educational technology that is both powered by and created for learners. Through field studies with data science students, her work explored the design of generative learning activities that promote higher-order thinking while also leading to the generation of new educational artifacts, such as students generating hints or multiple-choice questions. It also examined the role of AI support in scaffolding these activities while offering students opportunities to critique AI-generated responses.