2015 | OriginalPaper | Chapter
Is a Dialogue-Based Tutoring System that Emulates Helpful Co-constructed Relations During Human Tutoring Effective?
Authors : Patricia Albacete, Pamela Jordan, Sandra Katz
Published in: Artificial Intelligence in Education
Publisher: Springer International Publishing
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We present an initial field evaluation of Rimac, a natural-language tutoring system which implements decision rules that simulate the highly interactive nature of human tutoring. We compared this rule-driven version of the tutor with a non-rule-driven control in high school physics classes. Although students learned from both versions of the system, the experimental group outperformed the control group. A particularly interesting finding is that the experimental version was especially beneficial for female students.