Caitlin Morris, a MAD Fellow and doctoral student at MIT Media Lab, is creating prototype platforms that connect physical behavior with learners’ reflections. These tools are designed to assess how interaction style—whether with humans or AI—affects engagement and sense of agency. “I’m creating tools that can simultaneously track observable behaviors — like physical actions, language cues, and interaction patterns — while capturing learners’ subjective experiences through reflection and interviews,” she says. “This approach helps connect what people do with how they feel about their learning experience.” Her work contributes both to analysis frameworks and to practical tool development, aiming to support educators and designers building more human-centered digital learning environments.
