Artificial intelligence learning environments (28 Ergebnisse)

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Softcover. Zustand: Bon. Ancien livre de bibliothèque avec équipements. Edition 1987. Tome 1. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Edition 1987. Volume 1. Ammareal gives back up to 15% of this item's net price to charity organizations.…

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Hardcover. Zustand: Good. PB/pub.1990/Gd. condition/162 pages - Contains a characterization of the cognitive theory that informs the design of tutors in the domains of introductory LISP programming, high geometry, and introduc tory high school algebra. [KN42448 2]. Book.

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Zustand: as new. Cambridge, Mass. : MIT Press, 1990. Paperback. 168 pp. - These essays explore cognitively oriented empirical trials that use AI programming as a modeling methodology and that can provide valuable insight into a variety of learning problems. New perspectives and techniques are shaping the field of computer-aided instruction. These essays explore cognitively oriented empirical trials that use AI programming as a modeling methodology and that can provide valuable insight into a variety of learning problems. Drawing on work in cognitive theory, plan-based program recognition, qualitative reasoning, and cognitive models of learning and teaching, this exciting research covers a wide range of alternatives to tutoring dialogues. Condition : as new copy. ISBN 9780262530903. Keywords : COMPUTER STUDIES, artificial intelligence.…

Paperback. Robert W. Lawler / Masoud Yazdani, Intellect Ltd. Author: Robert W. Lawler / Masoud YazdaniBinding: PaperbackPublished: Intellect Ltd, 1987Condition:Book: Very goodJacket: N/APages: GoodMarkings: No markingsArtificial Intelligence And Education Volume One: Learning Environments & Tutoring Systems presents a comprehensive examination of the intersection between artificial intelligence and pedagogical practices. This academic work details the design and implementation of intelligent learning environments, illustrating how AI technologies can enhance educational outcomes. It further chronicles the development of sophisticated tutoring systems, arguing for their transformative potential in personalized instruction. The volume instructs readers on the theoretical underpinnings and practical applications of AI within educational contexts, offering valuable insights for researchers and practitioners alike. Paperback. …

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The complexity of systems studied in distributed artificial intelligence (DAI), such as multi-agent systems, often makes it extremely difficult or even impossible to correctly and completely specify their behavioral repertoires and dynamics. There is broad agreement that such systems should be equipped with the ability to learn in order to improve their future performance autonomously. The interdisciplinary cooperation of researchers from DAI and machine learning (ML) has established a new and very active area of research and development enjoying steadily increasing attention from both communities. This state-of-the-art report documents current and ongoing developments in the area of learning in DAI systems. It is indispensable reading for anybody active in the area and will serve as a valuable source of information.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Amid the growing significance of artificial intelligence (AI) in education and its increasing societal and economic impact on the contemporary workforce, this book examines the delivery of an AI additional qualification implemented through an adaptive learning system designed to support the acquisition of AI-related knowledge and skills among learners in vocational education and training (VET) and continuing vocational education and training (CVET). At the core of the book lies the investigation of key learner characteristics and system features that contribute to enhancing AI learning outcomes. Drawing on a quasi-experimental research design, data from 222 participants were gathered over two school years. Self-reported questionnaires administered in standardized online surveys captured learners perceptions throughout the AI course. Statistical analyses in R provide empirical support for the effectiveness of learners prior AI knowledge and the system s individualized and adaptive features in improving AI learning outcomes. Nevertheless, the study reveals that learners experience with digital learning applications has no significant influence. In addition, the analysis of AI learning outcomes across learning style groups yields no conclusive support on the effect of learning preferences on cognitive achievements within adaptive learning environments. The findings provide implications for researchers, stakeholders in VET and CVET, and developers of adaptive learning systems.…

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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The complexity of systems studied in distributed artificial intelligence (DAI), such as multi-agent systems, often makes it extremely difficult or even impossible to correctly and completely specify their behavioral repertoires and dynamics. There is broad agreement that such systems should be equipped with the ability to learn in order to improve their future performance autonomously. The interdisciplinary cooperation of researchers from DAI and machine learning (ML) has established a new and very active area of research and development enjoying steadily increasing attention from both communities. This state-of-the-art report documents current and ongoing developments in the area of learning in DAI systems. It is indispensable reading for anybody active in the area and will serve as a valuable source of information. 312 pp. Englisch.…

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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The complexity of systems studied in distributed artificial intelligence (DAI), such as multi-agent systems, often makes it extremely difficult or even impossible to correctly and completely specify their behavioral repertoires and dynamics. There is broad agreement that such systems should be equipped with the ability to learn in order to improve their future performance autonomously. The interdisciplinary cooperation of researchers from DAI and machine learning (ML) has established a new and very active area of research and development enjoying steadily increasing attention from both communities. This state-of-the-art report documents current and ongoing developments in the area of learning in DAI systems. It is indispensable reading for anybody active in the area and will serve as a valuable source of information.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 312 pp. Englisch.…

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