Studying self-regulated learning as a complex system

Studying self-regulated learning as a complex system

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You are invited to join us as we welcome Dr. Elizabeth B. Cloude from Tempere University in Finland on Wednesday, April 17th from 2:30 - 4pm.

Dr. Cloude will discuss the study of self-regulated learning (SRL) as a complex system with digital learning environments. Key findings from two studies will be discussed. The first paper will highlight the interplay between cognition and affective dynamics during game-based learning. The second paper will demonstrate how modeling emotions as a nonlinear dynamical system, emphasizing the synchrony between two data channels, effects on learning and knowledge. Finally, I will discuss my future research vision which aspires to investigate SRL more profoundly, exploring CAMM interactions among varying levels and complex ecosystems, including individual learners, teams of learners, learner-instructor dyads, and human-AI collaboration.

Elizabeth is a recipient of the Marie Skłodowska-Curie Postdoctoral Fellowship funded by the European Union and is affiliated with the Faculty of Education and Culture and Gamification Group at Tampere University in Finland. Elizabeth’s research studies self-regulated learning as a non-linear dynamical system with emerging technologies. Her focus is on collecting, processing, and analyzing multimodal data (e.g., eye movements, log files, physiology, concurrent verbalizations, facial expressions of emotions) to study the complex nature of learning and emotions across activities to build adaptive, intelligent systems.