Overview
- Latest research on Intelligent Open Learning Systems
- Presents concepts, models and algorithms
- Written by leading experts in the field
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 22)
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Table of contents (10 chapters)
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Front Matter
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System Analysis of the Open Learning Systems
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Front Matter
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The Problem of Knowledge Modeling in Open and Distance Learning
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Front Matter
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Application of Open Learning Systems
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Front Matter
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Keywords
About this book
In presented book the Intelligent Open Learning Systems (IOLS) are proposed, described, discussed, and evaluated. The IOLS is a system in which traditional methods of online teaching are enhanced through the use of artificial intelligence and cognitive science. This is the main topic of the book.
It consists of ten chapters and is divided into three parts. The first part concentrates on the Open Learning System (OLS) analysis, in particular: the social and educational meanings of the OLS, the new role of the teacher and the new requirements regarding the structure of didactic material. Moreover, the cybernetic model of student, teacher and computer collaboration is presented, the teaching-learning process content and its main characteristics are discussed, and the system based approach to the OLS design is proposed. The second part is focused on the problem of knowledge modeling in the OLS based on the ontology and the competence approaches and leading to the learning object concept and competence management in open systems. The third part describes applications of the OLS in the virtual laboratory for competence transfer, the community-built system of distance learning network, and the AGH student city – the real-life application of the OLS concept.
The authors’ research findings presented in the book should be useful in various applications related to knowledge management, e-learning systems and information systems.
Authors and Affiliations
Bibliographic Information
Book Title: Intelligent Open Learning Systems
Book Subtitle: Concepts, Models and Algorithms
Authors: Przemysław Różewski, Emma Kusztina, Ryszard Tadeusiewicz, Oleg Zaikin
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-642-22667-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag GmbH Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-22666-3Published: 29 July 2011
Softcover ISBN: 978-3-642-27078-9Published: 27 November 2013
eBook ISBN: 978-3-642-22667-0Published: 29 July 2011
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XVII, 257