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International Journal of Artificial Intelligence in Education 16 (2006) 101-130 101 1560-4292/06/$17.00 2006 IOS Press and the authors. All rights reserved
 

Summary: International Journal of Artificial Intelligence in Education 16 (2006) 101-130 101
IOS Press
1560-4292/06/$17.00 2006 IOS Press and the authors. All rights reserved
Toward Meta-cognitive Tutoring: A Model of Help-
Seeking with a Cognitive Tutor
Vincent Aleven, Bruce McLaren, Ido Roll, Kenneth Koedinger, Human-Computer
Interaction Institute, Carnegie Mellon University
{aleven, bmclaren}@cs.cmu.edu, {idoroll, koedinger}@cmu.edu
Abstract. The research reported in this paper focuses on the hypothesis that an intelligent tutoring system
that provides guidance with respect to students' meta-cognitive abilities can help them to become better
learners. Our strategy is to extend a Cognitive Tutor (Anderson, Corbett, Koedinger, & Pelletier, 1995) so
that it not only helps students acquire domain-specific skills, but also develop better general help-seeking
strategies. In developing the Help Tutor, we used the same Cognitive Tutor technology at the meta-
cognitive level that has been proven to be very effective at the cognitive level. A key challenge is to
develop a model of how students should use a Cognitive Tutor's help facilities. We created a preliminary
model, implemented by 57 production rules that capture both effective and ineffective help-seeking
behavior. As a first test of the model's efficacy, we used it off-line to evaluate students' help-seeking
behavior in an existing data set of student-tutor interactions. We then refined the model based on the results
of this analysis. Finally, we conducted a pilot study with the Help Tutor involving four students. During
one session, we saw a statistically significant reduction in students' meta-cognitive error rate, as

  

Source: Aleven, Vincent - Human Computer Interaction Institute, School of Computer Science, Carnegie Mellon University
McLaren, Bruce Martin - School of Computer Science, Carnegie Mellon University

 

Collections: Computer Technologies and Information Sciences