Using multimodal data to understand, research and design for CSCL

Advanced learning technologies have contributed to progress in research learning sciences. There is growing interest in methodological developments using technological tools and multimodal methods in understanding learning process (e.g. physiological measures). Her research group have been working for multimodal and multichannel data for collecting and understanding complex process of collaborative learning. They have been especially interested in how groups, and individuals in groups, can be supported to engage in, sustain, and productively regulate collaborative processes for better learning. In this presentation she introduced the theoretical progress on understanding collaborative learning and review how they have been collecting, analyzing and triangulating data about the regulation in learning. She also discussed the current methodological challenges and how methodological progress made can advance research on CSCL.