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    AIED
    2009
    Springer
    210views Artificial Intelligence» more  AIED 2009»
    Discovering Tutorial Dialogue Strategies with Hidden Markov Models
    14 years 2 months ago
    Discovering Tutorial Dialogue Strategies with Hidden Markov Models
    Download  www.intellimedia.ncsu.edu
    Identifying effective tutorial strategies is a key problem for tutorial dialogue systems research. Ongoing work in human-human tutorial dialogue continues to reveal the complex phe...
    Kristy Elizabeth Boyer, Eunyoung Ha, Michael D. Wa...
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    ITS
    2004
    Springer
    124views Multimedia» more  ITS 2004»
    Combining Competing Language Understanding Approaches in an Intelligent Tutoring System
    14 years 1 months ago
    Combining Competing Language Understanding Approaches in an Intelligent Tutoring System
    Download  www.public.asu.edu
    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
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    FLAIRS
    2007
    150views Artificial Intelligence» more  FLAIRS 2007»
    Document Semantic Annotation for Intelligent Tutoring Systems: A Concept Mapping Approach
    13 years 10 months ago
    Document Semantic Annotation for Intelligent Tutoring Systems: A Concept Mapping Approach
    Download  www.aaai.org
    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
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    IJCAI
    2003
    112views Artificial Intelligence» more  IJCAI 2003»
    A Revised Algorithm for Latent Semantic Analysis
    13 years 9 months ago
    A Revised Algorithm for Latent Semantic Analysis
    Download  umdrive.memphis.edu
    The intelligent tutoring system AutoTutor uses latent semantic analysis to evaluate student answers to the tutor's questions. By comparing a student's answer to a set of...
    Xiangen Hu, Zhiqiang Cai, Max M. Louwerse, Andrew ...
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    FLAIRS
    2003
    98views Artificial Intelligence» more  FLAIRS 2003»
    Minimal Text Structuring to Improve the Generation of Feedback in Intelligent Tutoring Systems
    13 years 9 months ago
    Minimal Text Structuring to Improve the Generation of Feedback in Intelligent Tutoring Systems
    Download  www.cs.potsdam.edu
    The goal of our work is to improve the Natural Language feedback provided by Intelligent Tutoring Systems. In this paper, we discuss how to make the content presented by one such ...
    Susan M. Haller, Barbara Di Eugenio
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