An Intelligent Tutoring System with Variable Levels of Instructional Support for Instructing Natural Deduction

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概要

• 論文の詳細を見る

• 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.

著者

• Miwa Kazuhisa

  Graduate School Of Human Informatics Nagoya University

• Kanzaki Nana

  Junior College, Nagoya Womans University

• Terai Hitoshi

  Graduate School of Information Science, Nagoya University

• Nakaike Ryuichi

  Graduate School of Education, Kyoto University

関連論文

• Deductive and Inductive Ways of Investigation on Human Problem Solving
• Effective Heuristics for Hypothesis Testing : An Empirical Discussion Using a Computer Simulation Method
• An Intelligent Tutoring System with Variable Levels of Instructional Support for Instructing Natural Deduction
• A Cognitive Simulator for Learning the Nature of Human Problem Solving

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