探索响应时间和错误答案在适应性学习中的效用

Radek Pelánek
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引用次数: 9

摘要

个性化教育系统根据学生的表现调整他们的行为。大多数用于指导适应的学生建模技术只利用学生答案的正确性。但是,关于性能的其他数据通常是可用的。在这项工作中,我们主要关注响应时间和错误答案,因为这些性能方面在大多数系统中都是可用的。我们分析了来自几种类型的练习和领域(数学,拼写,语法)的数据。结果表明,错误答案比反应时间更能提供信息。根据我们的研究结果,我们建议将学生的表现分为几个类别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the utility of response times and wrong answers for adaptive learning
Personalized educational systems adapt their behavior based on student performance. Most student modeling techniques, which are used for guiding the adaptation, utilize only the correctness of student's answers. However, other data about performance are typically available. In this work we focus on response times and wrong answers as these aspects of performance are available in most systems. We analyze data from several types of exercises and domains (mathematics, spelling, grammar). The results suggest that wrong answers are more informative than response times. Based on our results we propose a classification of student performance into several categories.
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