Dr. Carolyn Rosé
Dr. Rosé is an Associate 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. She serves as President Elect of the International Society of the Learning Sciences and the Executive Board of the International Artificial Intelligence in Education Society. She serves as Associate Editor of the International Journal of Computer Supported Collaborative Learning and the IEEE Transactions on Learning Technologies.
On September 29, from Noon until 1 pm (Central Time), in the Rady Room (Rm 601 in Nedderman Hall)
Dr. Rosé delivered the following public presentation:
Title: Cultivating the Seeds of Mentorship: Students as Resources for Creating a Conducive Online Learning Environment
Abstract:
As the field of online education increases its focus on delivery of effective instruction at massive scale, we become more painfully aware of teaching resources as a limited commodity. However, we learn from the field of Computer Supported Collaborative Learning that with proper support, students can benefit tremendously from their interactions with other students. Thus, the students themselves are a key resource we can learn to leverage in our efforts to meet the increasing demand.
My research over the past decade has focused on understanding what properties of conversational interactions create an environment that fosters learning and achievement. Language behavior is incredibly rich, whether it is generated by an isolated individual or an individual within a group. Within a social setting, it provides the visible evidence of otherwise intangible social values and the processes through which they are exchanged. It is the visible multi-dimensional manifestation of interaction between individuals, with relational, motivational, and cognitive aspects. Building on the understanding we have gained through analysis of conversational interactions in a wide variety of instructional settings, my research group has developed computational models that distinguish patterns of effective and ineffective collaboration. Using those models, we have been able to develop interventions that support effective collaboration in small groups.
In this talk, I will describe how we are expanding on a foundation of work in Computer Supported Collaborative Learning as we work to build an empirical foundation for design of effective Massive Open Online Courses.