Anjali Singh

Anjali Singh is a learning scientist and HCI researcher focused on designing tools and interventions that promote students' critical thinking in higher education, particularly during their interactions with AI systems. Her research explores how these interventions influence students’ trust, agency, and learning outcomes, as well as how to meaningfully evaluate critical thinking in the context of human-AI interactions. Currently, Anjali is working with Prof. Soo Young Rieh, bringing her expertise to enhance students' learning outcomes and engagement when using generative AI tools to search for information.

Anjali completed her PhD from the University of Michigan in 2024. Her dissertation explored strategies to support students' higher-order thinking through learnersourcing—an approach in which students co-create educational content for future learners through meaningful pedagogical engagement. Additionally, it explored how AI can be leveraged to support student engagement while preserving agency and encouraging critical evaluation of AI-generated content. Her work has been recognized with several Best Paper Awards at leading educational technology conferences, and contributed to the development of a personalized hint-generation system for a large online data science course at the University of Michigan.