A Formative Classroom Evaluation of a Tutorial Dialog System that Supports Self-Explanation.pdf
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A Formative Classroom Evaluation of a Tutorial Dialog System that Supports Self-Explanation
A Formative Classroom Evaluation of a
Tutorial Dialogue System that Supports Self-
Explanation
Vincent ALEVEN
Octav POPESCU
Amy OGAN
Kenneth R. KOEDINGER
Human Computer Interaction Institute
Carnegie Mellon University
5000 Forbes Ave, Pittsburgh, PA 15213, USA
aleven@, octav@, aeo@, koedinger@
Abstract. Previous research has shown that self-explanation can be supported
effectively in an intelligent tutoring system by simple means, namely, menu
selection (Aleven Koedinger, 2002). We are exploring whether self-explanation
can be supported even more effectively by means of a tutorial dialogue system.
When students explain in their own words, they may pay more attention to the
crucial features of the problem and thus acquire more transferable knowledge. To
test this hypothesis, we are developing the Geometry Explanation Tutor, a tutor
which supports students as they solve problems and engages them in a restricted
form of dialogue to help them state general explanations of their problem-solving
steps. We conduced a formative evaluation study in a local junior high school,
comparing two tutor versions, one in which students explain in their own words,
one in which they explain by means of a simple menu. We found that there was
little difference between the learning results of the two conditions. We also found
that the pre-test scores in both conditions were unexpectedly high. Thus, the
hypothesized advantages for explaining in one’s own words do not seem to
materialize for students who start out with considerable knowledge of the subject
matter, yet may still materialize for students more typical of the target population.
Introduction
A number of cognitive science studies have shown that self-explanation is an effective
metacognitive strategy that helps students learn with greater understanding(Aleven
Koedinger, 2002; Bielaczyc, Pirolli, Brown, 1995; Chi, 2000; Renkl, 1999). Self-
explanation can be supported effectively in intelligent tutoring systems, using fairly s
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