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An Evaluation of Self-explanation in a Programming Tutor

. Intelligent Tutoring Systems, volume 8474 of Lecture Notes in Computer Science, Springer International Publishing, (2014)
DOI: 10.1007/978-3-319-07221-0_30

Abstract

A controlled study was conducted in-natura to evaluate the effectiveness of presenting passive self-explanation questions in a problem-solving tutor on code-tracing. Data was collected from multiple institutions over three semesters using a tutor on selection statements: fall 2012-fall 2013. ANOVA and ANCOVA were used to analyze the collected data. After accounting for the additional time provided to test group students to answer self-explanation questions, test group was found to fare no better than control group on the number of concepts practiced, the pre-post change in score or the number of practice problems solved per practiced concept. It is speculated that this lack of difference might be attributable to self-efficacy issues, and that the features of tutors found to be effective in-vivo might need self-efficacy supports to also be effective in-natura.

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