Learning Tutorial Rules Using Classification Based On Associations

Rules have been showed to be appropriate representations to model tutoring and can be easily applied to intelligent tutoring systems. We applied a machine learning technique, Classification based on Associations, to automatically learn tutorial rules from annotated tutoring dialogues of a human expert tutor. The rules we learn concern the tutor’s attitude, the domain concepts to focus on, and the tutor moves. These rules have very good accuracy. They will be incorporated in the feedback generator of an Intelligent Tutoring System. Keywords. Tutorial rules, Natural language feedback, Expert tutoring

• Type: Conference
• Year: 2007
• Where: AIED
• Authors: Xin Lu, Barbara Di Eugenio, Stellan Ohlsson
• Keywords: AIED 2007, Artificial Intelligence, Intelligent Tutoring System, Tutorial Rules, Tutoring