文章基本信息

标题：An Intelligent Tutoring System with Variable Levels of Instructional Support for Instructing Natural Deduction
本地全文：下载
作者：Kazuhisa Miwa ; Hitoshi Terai ; Nana Kanzaki 等
期刊名称：人工知能学会論文誌
印刷版ISSN：1346-0714
电子版ISSN：1346-8030
出版年度：2014
卷号：29
期号：1
页码：148-156
DOI：10.1527/tjsai.29.148
出版社：The Japanese Society for Artificial Intelligence
摘要：We present an intelligent tutoring system that teaches natural deduction to undergraduate students. An expert problem solver in the system provides basic instructional help, such as suggesting the use of a rule in the next step of solving a problem and indicating the inference drawn by applying the rule. The system provides help by using a complete problem solver as an expert instructor. Students learning with our tutoring system can vary the degree of help they receive (from low to high and vice versa). Empirical evaluation showed that the system enhanced the problem-solving performance of participants during the learning phase, and these performance gains were carried over to the post-test phase. The analysis of participants' interactions with the system revealed the between-participants adaptation of students, meaning that participants with lower scores learned using higher levels of assistance than those with higher scores. In addition, the analysis revealed the within-participants adaptation of students, meaning that they adaptively changed levels of support according to their learning progress and the degree of difficulty of the problem.
关键词：Intelligent tutoring ; Production system ; Instructional help ; Natural deduction ; Client-server framework