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Advances in Intelligent Tutoring Systems

Roger Nkambou, Riichiro Mizoguchi, Jacqueline Bourdeau (Herausgeber)

Buch | Hardcover

XXII, 510 Seiten

2010 | 2010
Springer Berlin (Verlag)
978-3-642-14362-5 (ISBN)

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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.

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.

Erscheint lt. Verlag	27.8.2010
Reihe/Serie	Studies in Computational Intelligence
Zusatzinfo	XXII, 510 p. 112 illus., 2 illus. in color.
Verlagsort	Berlin
Sprache	englisch
Maße	155 x 235 mm
Gewicht	1050 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Informatik ► Weitere Themen ► CAD-Programme
	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Technik
Schlagworte	Artificial Intelligence in Education • Computational Intelligence • E-Learning • Emotion • Intellignet Tutoring • Knowledge • learning • Modeling • natural language • Ontology • Simulation
ISBN-10	3-642-14362-8 / 3642143628
ISBN-13	978-3-642-14362-5 / 9783642143625
Zustand	Neuware