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Intelligent Tutoring Systems

8th International Conference, ITS 2006, Jhongli, Taiwan, June 26-30, 2006 Proceedings

  • Conference proceedings
  • © 2006

Overview

Editors:
  1. Mitsuru Ikeda

    1. JAIST, Ishikawa, Japan

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  2. Kevin D. Ashley

    1. Learning Research and Development Center, University of Pittsburgh, Pittsburgh, USA

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  3. Tak-Wai Chan

    1. Graduate Institute of Network Learning Technology, National Central University, Jhongli City,Taoyuan County, Taiwan

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4053)

Part of the book sub series: Programming and Software Engineering (LNPSE)

Included in the following conference series:

Conference proceedings info: ITS 2006.

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Table of contents (113 papers)

  1. Front Matter

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  3. Authoring Tools

    1. Authoring Constraint-Based Tutors in ASPIRE

      • Antonija Mitrovic, Pramuditha Suraweera, Brent Martin, Konstantin Zakharov, Nancy Milik, Jay Holland
      Pages 41-50

    2. A Teaching Strategies Engine Using Translation from SWRL to Jess

      • Eric Wang, Yong Se Kim
      Pages 51-60

    3. The Cognitive Tutor Authoring Tools (CTAT): Preliminary Evaluation of Efficiency Gains

      • Vincent Aleven, Bruce M. McLaren, Jonathan Sewall, Kenneth R. Koedinger
      Pages 61-70

  4. Bayesian Reasoning and Decision-Theoretic Approaches

    1. A Bayesian Network Approach for Modeling the Influence of Contextual Variables on Scientific Problem Solving

      • Ronald H. Stevens, Vandana Thadani
      Pages 71-84

    2. A Decision-Theoretic Approach to Scientific Inquiry Exploratory Learning Environment

      • Choo-Yee Ting, M. Reza Beik Zadeh, Yen-Kuan Chong
      Pages 85-94

    3. Conceptual Change Modeling Using Dynamic Bayesian Network

      • Choo-Yee Ting, Yen-Kuan Chong
      Pages 95-103

    4. A Bayes Net Toolkit for Student Modeling in Intelligent Tutoring Systems

      • Kai-min Chang, Joseph Beck, Jack Mostow, Albert Corbett
      Pages 104-113

    5. A Comparison of Decision-Theoretic, Fixed-Policy and Random Tutorial Action Selection

      • R. Charles Murray, Kurt VanLehn
      Pages 114-123

  5. Case-Based and Analogical Reasoning

    1. Evaluation of a System That Generates Word Problems Through Interactions with a User

      • Kazuaki Kojima, Kazuhisa Miwa
      Pages 124-133

    2. Time in the Adaptive Tutoring Process Model

      • Alke Martens
      Pages 134-143

    3. Coaching Within a Domain Independent Inquiry Environment

      • Toby Dragon, Beverly Park Woolf, David Marshall, Tom Murray
      Pages 144-153

  6. Cognitive Models

    1. How “Consciousness” Allows a Cognitive Tutoring Agent Make Good Diagnosis During Astronauts’ Training

      • Daniel Dubois, Roger Nkambou, Patrick Hohmeyer
      Pages 154-163

    2. Learning Factors Analysis – A General Method for Cognitive Model Evaluation and Improvement

      • Hao Cen, Kenneth Koedinger, Brian Junker
      Pages 164-175

  7. Collaborative Learning

    1. A Constraint-Based Collaborative Environment for Learning UML Class Diagrams

      • Nilufar Baghaei, Antonija Mitrovic
      Pages 176-186

    2. A Collaborative Learning Design Environment to Integrate Practice and Learning Based on Collaborative Space Ontology and Patterns

      • Masataka Takeuchi, Yusuke Hayashi, Mitsuru Ikeda, Riichiro Mizoguchi
      Pages 187-196
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Keywords

Editors and Affiliations

  • JAIST, Ishikawa, Japan

    Mitsuru Ikeda

  • Learning Research and Development Center, University of Pittsburgh, Pittsburgh, USA

    Kevin D. Ashley

  • Graduate Institute of Network Learning Technology, National Central University, Jhongli City,Taoyuan County, Taiwan

    Tak-Wai Chan

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