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【讲座预告】讨论式学习评估中的文本挖掘 发表时间:2017-06-05 17:37:50 浏览次数:

主讲人:Dr. Carolyn Rosé

时间:201766  14:00-16:00

地点:演播楼208会议室

I.       Topic

Text Mining for Assessment of Learning through Discussion

讨论式学习评估中的文本挖掘

 

II.   Abstract

 

Computational models of discourse reveal evidence of cognitive and social processes and competencies that are valuable both for assessment and for triggering real time support for learning.  In this talk I will offer a brief overview of the field of text mining as it is represented in application areas such as assessment of writing and of social positioning in collaborative discourse.  Then I will zoom in on the topic of analysis of role taking behavior in collaborative groups where computational models of social interaction in textual form reveal layer upon layer of insight about student orientation towards one another as well as towards their joint endeavors.  When we observe successful and unsuccessful teams, we see unexpected behavior profiles, ones that do not necessarily align with assigned roles as well as ones that do not necessarily align with expectations of effective role-taking.  In this talk I will introduce a novel role-based-behavior modeling approach that enables identification of behavior profiles that are associated with specific success measures. This enables dynamic support for student reflection on their team performance and guidance to opportunities for improved engagement.

 

III.         Speaker’s Bio

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 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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