Designing a System to Assist in Synchronizing, Processing, Analyzing, Recognizing, and Conceptualizing Learners’ Multimodal Self-regulated Learning Data with Emerging Technologies

• In Event: Learning Analytics

Short Description

We will discuss major (1) theoretical, methodological, and analytical issues facing researchers using multimodal data to understand how humans self-regulate their learning with emerging technologies, (2) theoretical and empirical guidelines to build a system that automatically processes multimodal data to both understand and predict learning, and (3) design implications for building SPARC, a system that assists researchers in monitoring, analyzing, and understanding multimodal data for purposes of providing real-time instructional scaffolding and feedback.

Authors

• Presenter: Elizabeth B Cloude, Department of Learning Sciences and Educational Research, University of Central Florida

• Presenter: Roger Azevedo, Department of Learning Sciences and Educational Research