International Journal of Artificial Intelligence in Education
Supporting Collaborative Learning With An Intelligent Web-Based System
International Journal of Artificial Intelligence in Education
Tutorial Dialogue as Adaptive Collaborative Learning Support
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
New challenges in CSCL: towards adaptive script support
ICLS'08 Proceedings of the 8th international conference on International conference for the learning sciences - Volume 3
Using problem-solving context to assess help quality in computer-mediated peer tutoring
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part I
A Procedure to Create a Pedagogic Conversational Agent in Secondary Physics and Chemistry Education
International Journal of Information and Communication Technology Education
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Intelligent tutors have the potential to be used in supporting learning from collaboration, but there are few results demonstrating their positive effects in this domain. One of the main challenges in automated support for collaboration is the machine classification of dialogue, giving the system an ability to know when and how to intervene. We have developed an automated detector of conceptual content that is used as a basis for providing adaptive prompts to peer tutors in high-school algebra. We conducted an after-school study with 61 participants where we compared this adaptive support to two nonadaptive support conditions, and found that adaptive prompts significantly increased conceptual help and peer tutor domain learning. The amount of conceptual help students gave, as determined by either human coding or machine classification, was predictive of learning. Thus, machine classification was effective both as a basis for feedback and predictor of success.