Back in the day, artificial intelligence in school meant having someone else write your papers. No longer! In July 2005, the latest in a series of biennial conferences was held in Amsterdam, where researchers in education, technology, cognitive science, and other fields considered how AI software can be used in education. The proceedings comprise 89 full papers, along with 72 posters and 11 reports of panels and other events. The invited talks cover learning with virtual peers, scaffolding inquiry learning: how much intelligence is needed and by whom, a success story of constraint-based tutors, and interactivity and learning. There is no subject index. Annotation ©2006 Book News, Inc., Portland, OR (booknews.com)
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The field of Artificial Intelligence in Education has continued to broaden and now includes research and researchers from many areas of technology and social science. This study opens opportunities for the cross-fertilization of information and ideas from researchers in the many fields that make up this interdisciplinary research area, including artificial intelligence, other areas of computer science, cognitive science, education, learning sciences, educational technology, psychology, philosophy, sociology, anthropology, linguistics, and the many domain-specific areas for which Artificial Intelligence in Education systems have been designed and built. An explicit goal is to appeal to those researchers who share the perspective that true progress in learning technology requires both deep insight into technology and also deep insight into learners, learning, and the context of learning. The theme reflects this basic duality.
The field of Artificial Intelligence in Education has continued to broaden and now includes research and researchers from many areas of technology and social science. This study opens opportunities for the cross-fertilization of information and ideas from researchers in the many fields that make up this interdisciplinary research area, including artificial intelligence, other areas of computer science, cognitive science, education, learning sciences, educational technology, psychology, philosophy, sociology, anthropology, linguistics, and the many domain-specific areas for which Artificial Intelligence in Education systems have been designed and built. An explicit goal is to appeal to those researchers who share the perspective that true progress in learning technology requires both deep insight into technology and also deep insight into learners, learning, and the context of learning. The theme reflects this basic duality.
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