Advances in Intelligent Tutoring Systems

Introduction: What Are Intelligent Tutoring Systems, and Why This Book?.- Introduction: What Are Intelligent Tutoring Systems, and Why This Book?.- I: Domain Modeling.- Modeling the Domain: An Introduction to the Expert Module.- Rule-Based Cognitive Modeling for Intelligent Tutoring Systems.- Modeling Domains and Students with Constraint-Based Modeling.- Building Intelligent Tutoring Systems for Ill-Defined Domains.- A Survey of Domain Ontology Engineering: Methods and Tools.- II: Tutor Modeling and Learning Environments.- Modeling Tutoring Knowledge.- Decision-Making in Cognitive Tutoring Systems.- Tutorial Dialog in Natural Language.- Affective Tutors: Automatic Detection of and Response to Student Emotion.- Ontology-Based Formal Modeling of the Pedagogical World: Tutor Modeling.- Using Drawings in Knowledge Modeling and Simulation for Science Teaching.- III: Student Modeling.- Student Modeling.- Bayesian Student Modeling.- Open Learner Models.- Mining Data for Student Models.- Managing Learner's Affective States in Intelligent Tutoring Systems.- IV: ITS Authoring and Applications.- Building Intelligent Tutoring Systems: An Overview.- Authoring Problem-Solving Tutors: A Comparison between ASTUS and CTAT.- Open Content Authoring Tools.- The Andes Physics Tutoring System: An Experiment in Freedom.- V: Social, Cultural and Privacy Issues.- Computer Supported Collaborative Learning and Intelligent Tutoring Systems.- Preserving Learners' Privacy.- Infusing Cultural Awareness into Intelligent Tutoring Systems for a Globalized World.