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Intelligent Tutoring Systems: 9th International Conference, ITS 2008, Montreal, Canada, June 23-27, 2008, Proceedings

Intelligent Tutoring Systems: 9th International Conference, ITS 2008, Montreal, Canada, June 23-27, 2008, Proceedings (Paperback)

Esma Aimeur, Roger Nkambou, Beverly P. Woolf (엮은이)
Springer Verlag
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Intelligent Tutoring Systems: 9th International Conference, ITS 2008, Montreal, Canada, June 23-27, 2008, Proceedings
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· 제목 : Intelligent Tutoring Systems: 9th International Conference, ITS 2008, Montreal, Canada, June 23-27, 2008, Proceedings (Paperback) 
· 분류 : 외국도서 > 컴퓨터 > 컴퓨터 공학
· ISBN : 9783540691303
· 쪽수 : 832쪽
· 출판일 : 2008-07-08

목차

Keynote Speaker Abstracts.- Rethinking Education in the Age of Technology.- Life-Long Learning, Learner Models and Augmented Cognition.- Intelligent Training Systems: Lessons Learned from Building Before It Is Time.- The Interaction Plateau: Answer-Based Tutoring Step-Based Tutoring = Natural Tutoring.- Social Learning Environments: New Challenges for AI in Education.- Emotion and Affect.- Self Versus Teacher Judgments of Learner Emotions During a Tutoring Session with AutoTutor.- Towards Emotionally-Intelligent Pedagogical Agents.- Viewing Student Affect and Learning through Classroom Observation and Physical Sensors.- Comparing Learners' Affect While Using an Intelligent Tutoring System and a Simulation Problem Solving Game.- What Are You Feeling? Investigating Student Affective States During Expert Human Tutoring Sessions.- Responding to Student Uncertainty During Computer Tutoring: An Experimental Evaluation.- Tutor Evaluation.- How Does an Intelligent Learning Environment with Novel Design Affect the Students' Learning Results?.- Learning Linked Lists: Experiments with the iList System.- Re-evaluating LARGO in the Classroom: Are Diagrams Better Than Text for Teaching Argumentation Skills?.- Automatic Multi-criteria Assessment of Open-Ended Questions: A Case Study in School Algebra.- Why Tutored Problem Solving May be Better Than Example Study: Theoretical Implications from a Simulated-Student Study.- A Case Study Empirical Comparison of Three Methods to Evaluate Tutorial Behaviors.- Student Modeling.- Children's Interactions with Inspectable and Negotiated Learner Models.- Using Similarity Metrics for Matching Lifelong Learners.- Developing a Computer-Supported Tutoring Interaction Component with Interaction Data Reuse.- Machine Learning.- Towards Collaborative Intelligent Tutors: Automated Recognition of Users' Strategies.- Automatic Generation of Fine-Grained Representations of Learner Response Semantics.- Automatic Construction of a Bug Library for Object-Oriented Novice Java Programmer Errors.- Authoring Tools.- Helping Teachers Build ITS with Domain Schema.- Evaluating an Authoring Tool for Model-Tracing Intelligent Tutoring Systems.- Open Community Authoring of Targeted Worked Example Problems.- Agent Shell for the Development of Tutoring Systems for Expert Problem Solving Knowledge.- Tutor Feedback and Intervention.- Balancing Cognitive and Motivational Scaffolding in Tutorial Dialogue.- Assessing the Impact of Positive Feedback in Constraint-Based Tutors.- The Dynamics of Self-regulatory Processes within Self-and Externally Regulated Learning Episodes During Complex Science Learning with Hypermedia.- The Politeness Effect in an Intelligent Foreign Language Tutoring System.- Investigating the Relationship between Spatial Ability and Feedback Style in ITSs.- Individualizing Tutoring with Learning Style Based Feedback.- Use of Agent Prompts to Support Reflective Interaction in a Learning-by-Teaching Environment.- A Standard Method of Developing User Interfaces for a Generic ITS Framework.- Data Mining.- Helping Teachers Handle the Flood of Data in Online Student Discussions.- What's in a Cluster? Automatically Detecting Interesting Interactions in Student E-Discussions.- Scaffolding On-Line Discussions with Past Discussions: An Analysis and Pilot Study of PedaBot.- How Who Should Practice: Using Learning Decomposition to Evaluate the Efficacy of Different Types of Practice for Different Types of Students.- How Does Students' Help-Seeking Behaviour Affect Learning?.- Toward Automatic Hint Generation for Logic Proof Tutoring Using Historical Student Data.- Does Help Help? Introducing the Bayesian Evaluation and Assessment Methodology.- Using Knowledge Discovery Techniques to Support Tutoring in an Ill-Defined Domain.- More Accurate Student Modeling through Contextual Estimation of Slip and Guess Probabilities in Bayesian Knowledge Tracing.- E-Learning and Web-Based ITS.-

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