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智能辅导系统LNCS-4053: Intelligent tutoring system

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作者: Mitsuru Ikeda 著

出 版 社: 湖北辞书出版社

出版时间: 2006-12-1字数:版次: 1页数: 821印刷时间: 2006/12/01开本:印次:纸张: 胶版纸I S B N : 9783540351597包装: 平装编辑推荐

The LNCS series reports state-of-the-art results in computer science research,development,and education,at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community,with numerous individuals,as well as with prestigious organizations and societies,LNCS has grown into the most comprehensive computer science research forum available.

The scope of LNCS,including its subseries LNAI,spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes.

—proceedings (published in time for the respective conference)

—post-proceedings (consisting of thoroughly revised final full papers)

—research monographs(which may be based on outstanding PhD work,research projects,technical reports,etc.).

内容简介

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.

目录

Assessment

Automated Expert Modeling for Automated Student Evaluation

Multicriteria Automatic Essay Assessor Generation by Using TOPSISModel and Genetic Algorithm

Better Student Assessing by Finding Difficulty Factors in a FullyAutomated Comprehension Measure

Predicting State Test Scores Better with Intelligent Tutoring Systems:Developing Metrics to Measure Assistance Required

Authoring Tools

Authoring Constraint-Based Tutors in ASPIRE

A Teaching Strategies Engine Using Translation from SWRL to Jess

The Cognitive Tutor Authoring Tools (CTAT): Preliminary Evaluationof Efficiency Gains

Bayesian Reasoning and Decision-Theoretic

A Bayesian Network Approach for Modeling the Influence of ContextualVariables on Scientific Problem Solving

A Decision-Theoretic Approach to Scientific Inquiry ExploratoryLearning Environment

Conceptual Change Modeling Using Dynamic Bayesian Network

A Bayes Net Toolkit for Student Modeling in Intelligent TutoringSystems

A Comparison of Decision-Theoretic, Fixed-Policy and RandomTutorial Action Selection

Case-Based and Analogical Reasoning

Evaluation of a System That Generates Word Problems ThroughInteractions with a User

Time in the Adaptive Tutoring Process Model

Coaching Within a Domain Independent Inquiry Environment

Cognitive 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 Improvement

Collaborative Learning

A Constraint-Based Collaborative Environment for Learning UML Class Diagrams

……

Author Index

 
 
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