Agent Supported Cooperative Work
Agent Supported Cooperative Work
Agent-based cooperative learning: a proof-of-concept experiment
Proceedings of the 35th SIGCSE technical symposium on Computer science education
Utterance classification in AutoTutor
HLT-NAACL-EDUC '03 Proceedings of the HLT-NAACL 03 workshop on Building educational applications using natural language processing - Volume 2
AutoTutor: A simulation of a human tutor
Cognitive Systems Research
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In this paper, we describe our effort and lessons learned in commercializing an innovative infrastructure to support student participation and collaboration and help the instructor manage large or distance classrooms using multiagent system intelligence. The system, called I-MINDS, has a host of intelligent agents for each classroom: a teacher agent ranks and categorizes real-time questions from the students and collects statistics on student participation, a number of group agents that each maintains a collaborative group and facilitate student discussions, and a student agent for each student that profiles a student and finds compatible students to form the student's "buddy group". Our commercialization plan is three-fold: (1) to strengthen our understanding of potential customers, (2) to understand our competitors and alternative products, and (3) to examine and estimate the market potential for I-MINDS. To accomplish the above, we have conducted experiments to further investigate the impact of I-MINDS in actual use, comprehensive research on existing products and technologies, secure legal protection of our technology, plug-and-play I-MINDS for various demonstrations to companies for joint research and development.