MetaMentor: A System Designed to Study, Teach, Train, and Foster Self-regulated Learning for Students and Experts Using Their Multimodal Data Visualizations

摘要

MetaMentor is an interactive system designed to study, teach, train, and foster self-regulated learning (SRL) for students and domain experts using their multimodal data visualizations while they solve complex science problems using multimedia materials. The system is based on contemporary theories of SRL [1], research on human and computerized tutoring [2, 3], and emerging interdisciplinary research on the use of multimodal data ([4] e.g., log files, eye tracking, screen recordings, concurrent verbalizations, facial expressions of emotions, physiological sensors) used to detect, track, model, and foster cognitive, affective, metacognitive, and motivational (CAMM) SRL processes during learning and problem solving with advanced learning technologies (ALTs) such as intelligent tutoring systems (ITSs).