Rate My Professor Roger Azevedo

Azevedo's research investigates cognitive, metacognitive, affective, motivational, and social self-regulatory processes during learning with advanced technologies including intelligent tutoring systems, hypermedia, multimedia, simulations, serious games, and immersive virtual learning environments. He uses multimodal multichannel data to model human-machine interactions, develop human digital twins, and design adaptive systems that foster self-regulated learning in laboratory, classroom, and in-situ settings such as medical simulators. Notable contributions include directing the SMART Lab and leading projects on AI-driven pedagogical agents and metacognitive support in virtual reality. His work has garnered over 31,000 citations on Google Scholar. Key publications encompass Azevedo et al. (2022) 'Lessons learned and future directions of MetaTutor: Leveraging multichannel data to scaffold self-regulated learning with an intelligent tutoring system' in Frontiers in Psychology; Azevedo & Dever (2022) 'Metacognition in multimedia learning' in the Cambridge Handbook of Multimedia (3rd ed.); Azevedo & Wiedbusch (2023) 'Theories of metacognition and pedagogy applied in AIED systems' in the Handbook of Artificial Intelligence in Education; and editorship of Kovanovic et al. (2023) Unobtrusive observations of learning in digital environments (Springer). Major awards include 2025 Fellow of the American Educational Research Association, 2025 Pegasus Professor at UCF, 2021 recognition as one of the top 2% researchers worldwide, 2018 Barry J. Zimmerman Award from AERA for contributions to self-regulated learning research, 2017 Outstanding International Research Collaboration Award from AERA, and 2019 Fulbright Scholar. Azevedo has served as Chair of the Promotion and Tenure Committee in his school, on numerous faculty search and evaluation committees, and as associate editor for journals such as Metacognition and Learning.