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FLAIRS
2000
13 years 6 months ago
Supporting Intelligent Tutoring in CALL by Modeling the User's Grammar
This paper presents a model for representing the pro ciency of users in a CALL system by recording their performance on speci c grammatical features. The model will be used both t...
Lisa N. Michaud, Kathleen F. McCoy
ANLP
1997
103views more  ANLP 1997»
13 years 6 months ago
The NLP Role in Animated Conversation for CALL
Language learning is a relatively new application for natural language processing (NLP) and for intelligent tutoring and learning environments (ITLEs). NLP has a crucial role to p...
Michael Schoelles, Henry Hamburger
AIED
2005
Springer
13 years 10 months ago
The Assistment Builder: A Rapid Development Tool for ITS
Intelligent Tutoring Systems are notoriously costly to construct [1], and require PhD level experience in cognitive science and rule based programming. The goal of this research wa...
Terrence E. Turner, Michael A. Macasek, Goss Nuzzo...
JCP
2007
118views more  JCP 2007»
13 years 4 months ago
Tutoring an Entire Game with Dynamic Strategy Graphs: The Mixed-Initiative Sudoku Tutor
Abstract— In this paper, we develop a mixed-initiative intelligent tutor for the game of Sudoku called MITS. We begin by developing a characterization of the strategies used in S...
Allan Caine, Robin Cohen
FLAIRS
2000
13 years 6 months ago
Reasoning from Data Rather than Theory
Thecurrent frameworkfor constructing intelligent tutoring systems(ITS) is to use psychological/pedagogical theories of learning, and encode this knowledgeinto the tutor. However,t...
Joseph E. Beck, Beverly Park Woolf