Advances in Intelligent Tutoring Systems
Roger Nkambou, Riichiro Mizoguchi, Jacqueline Bourdeau
Springer Science & Business Media, Aug 27, 2010 - Computers - 510 pages
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.
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ACT-R actions adaptive agents Aleven algorithm applied approach architecture Artificial Intelligence ASTUS authoring tools AutoTutor Bayesian networks behavior building CanadarmTutor chapter Codelets cognitive model Cognitive Tutors components concept map conceptual graphs constraint-based constraints CTAT cultural defined dialogue domain knowledge domain model E-learning educational data mining effect emotions engineering error evaluation example feedback framework Frasson goal Graesser Heidelberg hint human tutoring I_L event ill-defined domains implemented instruction Intelligence in Education Intelligent Tutoring Systems interaction interface International Journal ITSs Journal of Artificial knowledge representation Koedinger language learning companions Learning Environments LNCS machine learning Mitrovic model-tracing Nkambou nodes ontology learning open learner models pedagogical problem solving Proc procedural procedural knowledge production rules represent Science semantic skills solution specific Springer steps strategies structure student model task task model techniques theories tion User Modeling VanLehn variables Woolf