LAK23 Trace-SRL

Workshop on Measuring and Facilitating

Self-regulated Learning based on Trace data

DATE: March 14th , 2023

TIME: 9:00am - 5:00pm

MODE: FACE-TO-FACE

VENUE: Arlington, Texas, USA.

OUR TEAM

Yizhou Fan is a Research Associate in the School of Informatics at the University of Edinburgh. Yizhou considers himself a learning analyst using computational methods to advance the understanding of online learning strategies and self-regulated learning. His research interests are MOOC, self-regulated learning, learning design, learning tactics and strategies, and multimodal learning analytics

Mladen Rakovic is a Research Fellow at Monash University. His research interests span the fields of natural language processing, predictive modeling, computational linguistics, and educational psychology. He focuses on the development and evaluation of computer-based writing systems that monitor undergraduates’ writing activity and generate learning analytics to promote self-regulated learning and deep engagement with disciplinary content.

Shaveen Singh is a Research Fellow at Monash University. His research interests include the design and deployment of technology to increase understanding and improve digital learning experiences. More specifically, his work examines the areas of learning analytics, personalised active learning, and building tools for teacher support.

Daryn Dever is a Doctoral Candidate and Graduate Research Assistant at the University of Central Florida in the School of Modeling, Simulation, and Training. Her research focus is on collecting multimodal multichannel data (e.g., log files, eye tracking, facial expressions of emotions) to enhance the design of scaffolding within throughout different advanced learning technologies, including game-based learning environments, simulations, and intelligent tutoring systems, to increase learning outcomes, self-regulated learning abilities, and support human-computer interactions.

Megan Wiedbusch is a Graduate Research Assistant at the School of Modeling, Simulation, and Training at the University of Central Florida (UCF). Her research is focused on the measurement of the dynamics of metacognition using traditional (i.e., self-reports) and unobtrusive multimodal (e.g., eye-tracking, facial expressions, log files) methodological and analytical approaches across contexts (e.g., health care, K-12 education, teacher training) and learning environments (e.g., VR, simulations, ITS, GBLEs)

Xinyu Li is a Research Fellow in the Faculty of Information Technology at Monash University. He has experience in designing and developing educational software aiming to support self-regulated learning and collaborative learning research.

Lyn Lim is a Research Associate and the Chair for Teaching and Learning with Digital Media, School of Education at the Technical University of Munich (TUM) since 2018. Her research lies in the area of scaffolding in facilitating self-regulated learning and online measures of learning processes

Joep van der Graaf is a Post Doc Researcher at the Behavioural Science Institute at Radboud University Nijmegen. He is interested in self-directed learning, including self-regulated learning and inquiry-based learning. He aims to understand students’ learning processes and likes to use innovative technologies and analytic approaches

Professor Maria Bannert holds the chair for Teaching and Learning with Digital Media, TUM School of Education. Her research focus lies on the educational and psychological aspects of teaching and learning with digital media. She conducts experimental research in the laboratory focusing on the online-analysis of learning processes. She also performs exploratory and quasi-experimental research in the field. The general goal is to support and advance teaching and learning with digital media in different learning contexts

PhD Inge Molenaar is currently an assistant professor at the Learning & Plasticity group of the Behavioural Science Institute at Radboud University Nijmegen. Her main interests are technology empowered innovation in education that facilitate students’ talent development. Her research focuses on the application of data from online learning environments, apps and games (learning analytics) in understanding how regulation of learning unfolds over time.

Roger Azevedo is a Professor in the School of Modeling Simulation and Training at the University of Central Florida. His main research area includes examining the role of cognitive, metacognitive, affective, and motivational self-regulatory processes during learning with advanced learning technologies (e.g., intelligent tutoring systems, hypermedia, multimedia, simulations, serious games, immersive virtual learning environments).

Dragan Gasevic is Professor of Learning Analytics in the Faculty of Information Technology at Monash University. A computer scientist by training and skills, Dragan considers himself a learning analyst developing computational methods that can shape next-generation learning and software technologies and advance our understanding of information seeking, sense-making, and self-regulated and social learning.

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