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 :
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