DocumentCode
2010150
Title
Intelligent visual reasoning tutor
Author
Wang, Eric ; Kim, Yong Se
Author_Institution
Center of Creative Design & Intelligent Tutoring Syst. Res., Sungkyunkwan Univ., Suwon, South Korea
fYear
2005
fDate
5-8 July 2005
Firstpage
511
Lastpage
515
Abstract
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.
Keywords
intelligent tutoring systems; ontologies (artificial intelligence); teaching; intelligent tutoring system; intelligent visual reasoning tutor; ontologies; Application software; Design engineering; Education; Intelligent systems; Learning systems; Ontologies; Solids; Systems engineering and theory; Target tracking; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies, 2005. ICALT 2005. Fifth IEEE International Conference on
Print_ISBN
0-7695-2338-2
Type
conf
DOI
10.1109/ICALT.2005.176
Filename
1508743
Link To Document