智能辅导系统LNCS-4053

出版时间：2006-12  出版社：湖北辞书出版社  作者：Mitsuru Ikeda 著  页数：821  

内容概要

This book constitutes the refereed proceedings of the 8th International Conference on Intelligent Tutoring Systems, ITS 2006, held in Jhongli, Taiwan in June 2006.    The 67 revised full papers and 40 poster papers presented together with abstracts of 6 keynote talks were carefully reviewed and selected from over 200 submissions. The papers are organized in topical sections on assessment, authoring tools, bayesian reasoning and decision-theoretic approaches, case-based and analogical reasoning, cognitive models, collaborative learning, elearning and web-based intelligent tutoring systems, error detection and handling, feedback, gaming behavior, learner models, motivation, natural language techniques for intelligent tutoring systems, scaffolding, simulation, as well as tutorial dialogue and narrative.

书籍目录

Assessment　Automated Expert Modeling for Automated Student Evaluation　Multicriteria Automatic Essay Assessor Generation by Using TOPSIS　Model and Genetic Algorithm　Better Student Assessing by Finding Difficulty Factors in a Fully　Automated Comprehension Measure　Predicting State Test Scores Better with Intelligent Tutoring Systems:　Developing Metrics to Measure Assistance RequiredAuthoring Tools　Authoring Constraint-Based Tutors in ASPIRE　A Teaching Strategies Engine Using Translation from SWRL to Jess　The Cognitive Tutor Authoring Tools (CTAT): Preliminary Evaluation　of Efficiency GainsBayesian Reasoning and Decision-Theoretic　A Bayesian Network Approach for Modeling the Influence of Contextual　Variables on Scientific Problem Solving　A Decision-Theoretic Approach to Scientific Inquiry Exploratory　Learning Environment　Conceptual Change Modeling Using Dynamic Bayesian Network　A Bayes Net Toolkit for Student Modeling in Intelligent Tutoring　Systems　A Comparison of Decision-Theoretic, Fixed-Policy and Random　Tutorial Action SelectionCase-Based and Analogical Reasoning　Evaluation of a System That Generates Word Problems Through　Interactions with a User　Time in the Adaptive Tutoring Process Model　Coaching Within a Domain Independent Inquiry EnvironmentCognitive Models　How "Consciousness" Allows a Cognitive Tutoring Agent Make Good Diagnosis During Astronauts' Training　Learning Factors Analysis - A General Method for Cognitive Model Evaluation and ImprovementCollaborative Learning　A Constraint-Based Collaborative Environment for Learning UML Class Diagrams……Author Index