Intelligent Visual Reasoning Tutor

Visual reasoning is an essential skill for many disciplines in engineering and architecture. We describe an intelligent tutoring system for visual reasoning that uses the missing view problem, a learning contents model based on skills, lessons, and problems, and a learner model that measures domain competence as a set of skills. Learning contents and pedagogical teaching strategy are stored in ontologies, which can be customized by the teacher.

• Type: Conference
• Year: 2005
• Where: ICALT
• Authors: Eric Wang, Yong Se Kim
• Keywords: ICALT 2005, Machine Learning, Missing View Problem, Pedagogical Teaching Strategy, Visual Reasoning