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An Evaluation of Self-explanation in a Programming Tutor

机译:编程导师中自我解释的评估

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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.
机译:在Natura进行了一个受控研究,以评估在解决代码跟踪的问题解决导师中呈现被动自我解释问题的有效性。使用选拔声明的导师在三个学期从多个机构收集数据:2012年秋季2013年下旬。Anova和Ancova用于分析收集的数据。在考虑到额外时间提供给测试组学生回答自我解释问题后,发现测试组的票价不比控制组在概念的数量上,分数的后变化或练习次数解决问题每练的概念。据推测,这种缺乏差异可能归因于自我效能问题,并且发现有效的辅导员的特征可能需要自我效能的支持,也需要在-Natura中有效。

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