Technology Support for Effective Team-Based Learning in Online Education

Prof. Carolyn Rosé will be giving the following invited talk at WESST!

Technology Support for Effective Team-Based Learning in Online Education
Computational Discourse Analysis is an active area of Learning Analytics that offers real time insights into social processes that impact learning and performance in online courses. This talk reports on research that leverages this important area of research, specifically in connection with a key discussion property referred to as Transactivity.  In particular, this talk reports on work towards achieving persistent social interaction throughout large online courses in the form of technology-supported team based projects. We propose what we refer to as a deliberation-based team formation procedure to improve the selection and initiation process used to start team-based learning in an effective way.  Results from validation studies demonstrate that project teams formed through this technology-enhanced process are more successful at a collaborative knowledge integration task.  Data from deployment studies in real MOOCs are consistent with these findings and demonstrate the potential of this paradigm for real world impact.  Implications for promising new directions in online group learning will be explored.

Dr. Carolyn Rosé is a Professor of Language Technologies and Human-Computer Interaction in the School of Computer Science at Carnegie Mellon University.  Her research program is focused on better understanding the social and pragmatic nature of conversation, and using this understanding to build computational systems that can improve the efficacy of conversation between people, and between people and computers. In order to pursue these goals, she invokes approaches from computational discourse analysis and text mining, conversational agents, and computer supported collaborative learning.  Her research group’s highly interdisciplinary work, published in over 200 peer reviewed publications, is represented in the top venues in 5 fields: namely, Language Technologies, Learning Sciences, Cognitive Science, Educational Technology, and Human-Computer Interaction, with awards or award nominations in 3 of these fields.  She serves as Past President of the International Society of the Learning Sciences and Executive committee member of the Artificial Intelligence in Education Society.  She has served as program co-chair for numerous international conferences, workshops, and symposia.  She also serves as Executive Editor of the International Journal of Computer Supported Collaborative Learning and Associate Editor of the IEEE Transactions on Learning Technologies.

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