This book constitutes the refereed proceedings of the 9th International Conference on Intelligent Tutoring Systems, ITS 2008, held in Montreal, Canada, in June 2008.
The 63 revised full papers and 61 poster papers presented together with abstracts of 5 keynote talks were carefully reviewed and selected from 207 submissions. The papers are organized in topical sections on emotion and affect, tutor evaluation, student modeling, machine learning, authoring tools , tutor feedback and intervention, data mining, e-learning and Web-based ITS, natural language techniques and dialogue, narrative tutors and games, semantic Web and ontology, cognitive models, and collaboration.
Inhalt
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.- Interoperable Competencies Characterizing Learning Objects in Mathematics.- Comparing Classroom Problem-Solving with No Feedback to Web-Based Homework Assistance.- Harnessing Learner's Collective Intelligence: A Web2.0 Approach to E-Learning.- Bridging the Gap between ITS and eLearning: Towards Learning Knowledge Objects.- Natural Language Techniques and Dialogue.- Semantic Cohesion and Learning.- Dialogue Modes in Expert Tutoring.- Seeing the Face and Observing the Actions: The Effects of Nonverbal Cues on Mediated Tutoring Dialogue.- Affective Transitions in Narrative-Centered Learning Environments.- Word Sense Disambiguation for Vocabulary Learning.- Narrative Tutors and Games.- Student Note-Taking in Narrative-Centered Learning Environments: Individual Differences and Learning Effects.- Assessing Aptitude for Learning with a Serious Game for Foreign Language and Culture.- Story-Based Learning: The Impact of Narrative on Learning Experiences and Outcomes.- Semantic Web and Ontology.- An Architecture for Combining Semantic Web Techniques with Intelligent Tutoring Systems.- The Use of Ontologies to Structure and Support Interactions in LOR.- Leveraging the Social Semantic Web in Intelligent Tutoring Systems.- Structurization of Learning/Instructional Design Knowledge for Theory-Aware Authoring Systems.- Expanding the Plausible Solution Space for Robustness in an Intelligent Tutoring System.- Cognitive Models.- Using Optimally Selected Drill Practice to Train Basic Facts.- Eliminating the Gap between the High and Low Students through Meta-cognitive Strategy Instruction.- Using Hidden Markov Models to Characterize Student Behaviors in Learning-by-Teaching Environments.- To Tutor the Tutor: Adaptive Domain Support for Peer Tutoring.- Collaboration.- Shall We Explain? Augmenting Learning from Intelligent Tutoring Systems and Peer Collaboration.- Theory-Driven Group Formation through Ontologies.- Poster Papers.- Self-assessment in Vocabulary Tutoring.- Automatically Generating and Validating Reading-Check Questions.- Dynamic Browsing of Audiovisual Lecture Recordings Based on Automated Speech Recognition.- Agent-Based Framework for Affective Intelligent Tutoring Systems.- Measuring the Perceived Difficulty of a Lecture Using Automatic Facial Expression Recognition.- Minimal Feedback During Tutorial Dialogue.- Can Students Edit Their Learner Model Appropriately?.- When Is Assistance Helpful to Learning? Results in Combining Worked Examples and Intelligent Tutoring.- Enabling Reputation-Based Trust in Privacy-Enhanced Learning Systems.- Authoring Educational Games with Greenmind.- An Experimental Use of Learning Environment for Problem-Posing as Sentence-Integration in Arithmetical Word Problems.- Automatic Analyses of Cohesion and Coherence in Human Tutorial Dialogues During Hypermedia: A Comparison among Mental Model Jumpers.- Interface Challenges for Mobile Tutoring Systems.- Agora UCS Ubiquitous Collaborative Space.- Adapte, a Tool for the Teacher to Personalize Activities.- Framework for a Competency-Driven, Multi-viewpoint, and Evolving Learner Model.- Use Chatbot CSIEC to Facilitate the Individual Learning in English Instruction: A Case Study.- Using an Adaptive Collaboration Script to Promote Conceptual Chemistry Learning.- Towards an Intelligent Emotional Detection in an E-Learn…