May the Forcing Functions be with You: The Stimulating World of AIED and ITS Research It is my pleasure to write the foreword for Advances in Intelligent Tutoring S- tems. This collection, with contributions from leading researchers in the field of artificial intelligence in education (AIED), constitutes an overview of the many challenging research problems that must be solved in order to build a truly intel- gent tutoring system (ITS). The book not only describes some of the approaches and techniques that have been explored to meet these challenges, but also some of the systems that have actually been built and deployed in this effort. As discussed in the Introduction (Chapter 1), the terms "AIED" and "ITS" are often used int- changeably, and there is a large overlap in the researchers devoted to exploring this common field. In this foreword, I will use the term "AIED" to refer to the - search area, and the term "ITS" to refer to the particular kind of system that AIED researchers build. It has often been said that AIED is "AI-complete" in that to produce a tutoring system as sophisticated and effective as a human tutor requires solving the entire gamut of artificial intelligence research (AI) problems.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Illustrationen
110
2 farbige Abbildungen, 110 s/w Abbildungen
XXII, 510 p. 112 illus., 2 illus. in color.
Dateigröße
ISBN-13
978-3-642-14363-2 (9783642143632)
DOI
10.1007/978-3-642-14363-2
Schweitzer Klassifikation
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.
