Intelligent Tutoring Systems : 5th International Conference, ITS 2000, Montreal, Canada, June 19-23, 2000 Proceedings

ITS 2000 is the fifth international conference on Intelligent Tutoring Systems. The preceding conferences were organized in Montreal in 1988, 1992, and 1996. These conferences were so strongly supported by the international community that it was decided to hold them every two years. ITS’98 was organized by Carol Redfield and Valerie Shute and held in San Antonio, Texas. The program committee included members from 13 countries. They received 140 papers (110 full papers and 30 young researchers papers) from 21 countries. As with any international conference whose proceedings serve as a reference for the field, the program committee faced the demanding task of selecting papers from a particularly high quality set of submissions. This proceedings volume contains 61 papers selected by the program committee from the 110 papers submitted. They were presented at the conference, along with six invited lectures from well known speakers. The papers cover a wide range of subjects including architectures for ITS, teaching and learning strategies, authoring systems, learning environments, instructional designs, cognitive approaches, student modeling, distributed learning environments, evaluation of instructional systems, cooperative systems, Web based training systems, intelligent agents, agent based tutoring systems, intelligent multimedia and hypermedia systems, interface design, and intelligent distance learning.

Invited Presentations.- Adaptive Hypermedia: From Intelligent Tutoring Systems to Web-Based Education.- Infrastructure for Future Network Learning.- Can We Learn from ITSs?.- Uncertainty, Utility, and Understanding.- Stereotypes, Student Models and Scrutability.- Life and Learning in the Electronic Village: The Importance of Localization for the Design of Environments to Support Learning.- Agent-Based Tutoring Systems.- Tutoring Diagnostic Problem Solving.- LAHYSTOTRAIN: Integration of Virtual Environments and ITS for Surgery Training.- Active Learner Modelling.- Training Teams with Collaborative Agents.- Evaluating an Animated Pedagogical Agent.- Multi-agent Negotiation to Support an Economy for Online Help and Tutoring.- The Collaborative System with Situated Agents for Activating Observation Learning.- Should I Teach My Computer Peer? Some Issues in Teaching a Learning Companion.- WHITE RABBIT - Matchmaking of User Profiles Based on Discussion Analysis Using Intelligent Agents.- Architectures for ITS.- Applying Patterns to ITS Architectures.- Andes: A Coached Problem Solving Environment for Physics.- A Collection of Pedagogical Agents for Intelligent Educational Systems.- DT Tutor: A Decision-TheoreticDynamic Approach for Optimal Selection of Tutorial Actions.- Experimenting Features from Distinct Software Components on a Single Platform.- Using Student Task and Learning Goals to Drive the Construction of an Authoring Tool for Educational Simulations.- Authoring Systems.- Using an ITS Authoring Tool to Explore Educators’ Use of Instructional Strategies.- Is What You Write What You Get?: An Operational Model of Training Scenario.- Designing for Collaborative Discovery Learning.- Cognitive Approaches.- An Analysis of Multiple Tutoring Protocols.- Understandable Learner Models for a Sensorimotor Control Task.- Using Meta-Cognitive Conflicts to Support Group Problem Solving.- Cooperative Systems.- LeCS: A Collaborative Case Study System.- “Today’s Talking Typewriter” Supporting Early Literacy in a Classroom Environment.- An Adaptive, Collaborative Environment to Develop Good Habits in Programming.- Distributed Learning Environments.- A Reflective CSCL Environment with Foundations Based on the Activity Theory.- How Can We Form Effective Collaborative Learning Groups?.- Evaluation of Instructional Systems.- Limitations of Student Control: Do Students Know when They Need Help?.- Further Results from the Evaluation of an Intelligent Computer Tutor to Coach Self-Explanation.- Analyzing and Generating Mathematical Models: An Algebra II Cognitive Tutor Design Study.- Intelligent Distance Learning.- A Coached Collaborative Learning Environment for Entity-Relationship Modeling.- Model of an Adaptive Support Interface for Distance Learning.- Agent’s Contribution for an Asynchronous Virtual Classroom.- Intelligent Multimedia and Hypermedia Systems.- Theoretical and Practical Considerations for Web-Based Intelligent Language Tutoring Systems.- Adaptive Multimedia Interface for Users with Intellectual and Cognitive Handicaps.- Evaluating the Need for Intelligence in an Adaptive Hypermedia System.- Instructional Design.- Tailoring Feedback by Correcting Student Answers.- Design Principles for a System to Teach Problem Solving by Modelling.- Evolution of the Hypotheses Testing Approach in Intelligent Problem Solving Environments.- Learning Environments.- The Impact of Representation on Coaching Argument Analysis.- Bringing Scrutability to Adaptive Hypertext Teaching.- ITS Tools for Natural Language Dialogue: A Domain-Independent Parser and Planner.- Cooperative Agents to Track Learner’s Cognitive Gap.- Agent-Mediated Language-Learning Environment Based on Communicative Gaps.- TEATRIX: Virtual Environment for Story Creation.- Fading and Deepening: The Next Steps for Andes and Other Model-Tracing Tutors.- An Intelligent Learning Environment for Novice Users of a GUI.- A System for Concerned Teaching of Musical Aural Skills.- Student Modeling.- Broader Bandwidth in Student Modeling: What if ITS Were “Eye”TS?.- Accretion Representation for Scrutable Student Modelling.- Using a Probabilistic Student Model to Control Problem Difficulty.- Adaptive Bayesian Networks for Multilevel Student Modelling.- Inspecting and Visualizing Distributed Bayesian Student Models.- The Explanation Agent.- Teaching and Learning Strategies.- The Conceptual Helper: An Intelligent Tutoring System for Teaching Fundamental Physics Concepts.- Macroadapting Animalwatch to Gender and Cognitive Differences with Respect to Hint Interactivity and Symbolism.- High-Level Student Modeling with Machine Learning.- Individualized Recommendations for Learning Strategy Use.- An Empirical Approach to On-Line Learning in SIETTE.- Cooperative Problem-Seeking Dialogues in Learning.- Web-Based Training Systems.- Course Sequencing for Static Courses? Applying ITS Techniques in Large-Scale Web-Based Education.- Modelling the Instructor in a Web-Based Authoring Tool for Algebra-Related ITSs.- Poster Papers.- Improving Story Choice in a Reading Tutor That Listens.- Using Computer Algebra for Rapid Development of ITS Components in Engineering.- Supporting Discovery Learning in Building Neural Network Models.- A Cognitive Model for Automatic Narrative Summarization in a Self-Educational System.- Didactic Situations as Multifaceted Theoretical Objects.- The Use of Constraint Logic Programming in the Development of Adaptive Tests.- An Ontological Approach for Design and Evaluation of Tutoring Systems.- Training Scenarios Generation Tools for an ITS to Control Center Operators.- Multiple Paradigms for a Generic Diagnostic Proposal.- A Description Formalism for Complex Questionnaires.- Assisting Planning in Computer-Mediated Explorative Problem-Solving.- Annotating Exploration History and Knowledge Mapping for Learning with Web-Based Resources.- Collaborative Learning Environment which Enforces Students to Induce Ideas.- Adaptive Support for Brain Deficits in Special Education.- Student Modelling and Interface Design in SIAL.- A Reification of a Strategy for Geometry Theorem Proving.- VLab: An Environment for Teaching Behavioral Modeling.- Workshops.- W1 - Modeling Human Teaching Tactics and Strategies.- W2 - Adaptive and Intelligent Web-Based Education Systems.- W3 - Applying Machine Learning to ITS Design/Construction.- W4 - Collaborative Discovery Learning in the Context of Simulations.- W5 - Case-Based Reasoning in Intelligent Training Systems.- W6 - Learning Algebra with the Computer, a Transdisciplinary Workshop.- W7 - Advanced Instructional Design for Complex Safety Critical & Emergency Training.- Young Researchers Track.