Using Bayesian Networks to Manage Uncertainty in Student Modeling
User Modeling and User-Adapted Interaction
An Evidential Model for Tracking Initiative in Collaborative Dialogue Interactions
User Modeling and User-Adapted Interaction
Mixed initiative in dialogue: an investigation into discourse segmentation
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Feature-rich part-of-speech tagging with a cyclic dependency network
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
A Simulated Student Can Improve Collaborative Learning
International Journal of Artificial Intelligence in Education
Tools for Authoring a Dialogue Agent that Participates in Learning Studies
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
KSC-PaL: a peer learning agent that encourages students to take the initiative
EdAppsNLP '09 Proceedings of the Fourth Workshop on Innovative Use of NLP for Building Educational Applications
KSC-PaL: a peer learning agent that encourages students to take the initiative
HLT-DEMO '10 Proceedings of the NAACL HLT 2010 Demonstration Session
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We have developed an artificial agent based on a computational model of peer learning we developed That model shows that shifts in initiative are conducive to learning The peer learning agent can collaborate with a human student via dialog and actions within a graphical workspace This paper describes the architecture and implementation of the agent and the user study we conducted to evaluate the agent Results show that the agent is able to encourage shifts in initiative in order to promote learning and that students learn using the agent.