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A Tutorial Dialog System to Support Self-Explanation: Evaluation and Open Questions

机译:支持自我解释的教程对话系统:评估和打开问题

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We conducted an experiment to test the hypothesis that self-explanation can be supported more effectively by means of natural language dialog than by means of menu selection of explanations. The study was carried out in a school in the Pittsburgh area and involved 78 students, 42 of whom satisfied all requirements. There was some evidence that students whose self-explanations were supported by dialog acquired better problem-solving skills than students who selected explanations from a menu. The evidence however was not sufficient to decisively confirm the hypothesis. Lessons learned include: it is more difficult for students to produce accurate free-form explanations than we expected and it may be better to delay strict requirements on explanation quality for students early in learning. It might be valuable to increase explanation strictness gradually. Also, knowledge-based natural language understanding capabilities push on hardware capabilities and have potentially negative consequences for software useability.
机译:我们进行了一个实验来测试假设,即通过自然语言对话框可以更有效地支持自我解释的假设,而不是通过菜单选择解释。该研究在匹兹堡地区的一所学校进行,涉及78名学生,其中42名符合所有要求。有一些证据表明,对话的支持,其自我解释的支持获得了更好的问题解决技巧,而不是从菜单中选择解释的学生。然而,证据不足以果断证明假设。学习的经验教训包括:学生更加困难地产生比我们预期的准确的自由形式解释,并且可以更好地延迟学习早期学生的解释质量要求。逐渐增加解释可能是有价值的。此外,基于知识的自然语言理解能力推动硬件功能,并对软件可用性具有潜在的负面影响。

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