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ITS
2004
Springer
124views Multimedia» more  ITS 2004»
13 years 10 months ago
Combining Competing Language Understanding Approaches in an Intelligent Tutoring System
When implementing a tutoring system that attempts a deep understanding of students’ natural language explanations, there are three basic approaches to choose between; symbolic, i...
Pamela W. Jordan, Maxim Makatchev, Kurt VanLehn
AIED
2007
Springer
13 years 11 months ago
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, Class...
Xin Lu, Barbara Di Eugenio, Stellan Ohlsson
FLAIRS
2008
13 years 7 months ago
Diagnosing Natural Language Answers to Support Adaptive Tutoring
Understanding answers to open-ended explanation questions is important in intelligent tutoring systems. Existing systems use natural language techniques in essay analysis, but rev...
Myroslava Dzikovska, Gwendolyn E. Campbell, Charle...
AIEDU
2008
112views more  AIEDU 2008»
13 years 3 months ago
Be Brief, And They Shall Learn: Generating Concise Language Feedback for a Computer Tutor
To investigate whether more concise Natural Language feedback improves learning, we developed two Natural Language generators (DIAG-NLP1 and DIAG-NLP2), to provide feedback in an I...
Barbara Di Eugenio, Davide Fossati, Susan M. Halle...
FLAIRS
2007
13 years 7 months ago
Document Semantic Annotation for Intelligent Tutoring Systems: A Concept Mapping Approach
The difficulty of domain knowledge acquisition is one of the most sensible challenges of intelligent tutoring systems. Relying on domain experts and building domain models from sc...
Amal Zouaq, Roger Nkambou, Claude Frasson