Authoring Tutors with SimStudent: An Evaluation of Efficiency and Model Quality
Authoring Tutors with SimStudent: An Evaluation of Efficiency and Model Quality
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使用 SimStudent 编写导师：效率和模型质量评估
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Noboru Matsuda
中科院分区：
文献类型：
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作者：
Christopher Maclellan;K. Koedinger;Noboru Matsuda
创作智能辅导系统是昂贵和耗时的。为了降低成本，开发了认知导师创作工具和示例跟踪导师范例，以使导师创作过程更有效。在这种模式下，导师通过直接在导师界面中演示行为来构建，减少了对编程专业知识的需求。本文评估的效率与SimStudent，一个扩展的示例跟踪范式，旨在产生更大的一般性，在更短的时间内，从过去的示范和反馈的诱导，创作一个导师。我们发现，在SimStudent中编写代数导师比Example-Tracing更快，同时保持了等效的最终模型质量。此外，我们发现SimStudent模型的推广超出了用于创建它的问题。
Authoring Intelligent Tutoring Systems is expensive and time consuming. To reduce costs, the Cognitive Tutor Authoring Tools and the Example-Tracing Tutor paradigm were developed to make the tutor authoring process more efficient. Under this paradigm, tutors are constructed by demonstrating behavior directly in a tutor interface, reducing the need for programming expertise. This paper evaluates the efficiency of authoring a tutor with SimStudent, an extension to the Example-Tracing paradigm that is designed to produce greater generality in less time by induction from past demonstrations and feedback. We found that authoring an algebra tutor in SimStudent is faster than Example-Tracing while maintaining equivalent final model quality. Furthermore, we found that the SimStudent model generalizes beyond the problems that were used to author it.