Our lab investigates how people monitor and regulate their learning and memory, and how principles from cognitive psychology can be used to improve learning across the lifespan. Metacognitive monitoring refers to how people assess their own learning and memory, while metacognitive control refers to the decisions and strategies they use to achieve their learning goals. We study how these processes interact, how they change with age, and how learning environments can be designed to support effective self-regulation.
A major focus of our current research is developing and evaluating educational interventions that help people acquire, retain, and apply important information. Our work draws on evidence-based learning strategies, including retrieval practice, spaced learning, and feedback, to promote durable knowledge. We are particularly interested in how learners’ goals and personal circumstances influence what they choose to learn and how educational experiences can be tailored to their needs.
One application of this research is dementia caregiving. We develop and evaluate personalized psychoeducational interventions that help family caregivers learn strategies for managing the behavioral and psychological symptoms of dementia. Our current work also explores how AI-supported educational technologies can adapt information, retrieval questions, and feedback to individual caregivers’ needs. Through this research, we aim to better understand how people interact with adaptive learning systems and how cognitive principles can be used to support caregiver knowledge, confidence, and well-being.