Anjali Singh

Dr. Anjali Singh is a Human-AI Interaction researcher and a learning scientist, focused on designing tools and interventions that promote people's critical thinking, agency and sensemaking particularly during their interactions with AI systems. Her research also explores how to meaningfully evaluate learning and reasoning processes within human-AI experiences using theoretically grounded and scalable metrics. Currently, Anjali is working with Prof. Soo Young Rieh, bringing her expertise to enhance higher ed students' information seeking and learning from generative AI tools.

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 mutliple Best Paper Awards at leading learning sciences and technology conferences, and contributed to the development learning technologies that have been deployed at large public universities in the U.S.