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020 _a9783642226670
_9978-3-642-22667-0
040 _cMX-MeUAM
050 4 _aQ342
082 0 4 _a006.3
_223
100 1 _aRózewski, Przemyslaw.
_eauthor.
245 1 0 _aIntelligent Open Learning Systems
_h[recurso electrónico] :
_bConcepts, Models and Algorithms /
_cby Przemyslaw Rózewski, Emma Kusztina, Ryszard Tadeusiewicz, Oleg Zaikin.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2011.
300 _aXVII, 257 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v22
505 0 _aPart I: System Analysis Of The Open Learning Systems -- Part II: The Problem Of Knowledge Modeling In Open And Distance Learning -- Part III: Applications Of Open Learning Systems.
520 _aIn 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.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aKusztina, Emma.
_eauthor.
700 1 _aTadeusiewicz, Ryszard.
_eauthor.
700 1 _aZaikin, Oleg.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642226663
830 0 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v22
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-22667-0
596 _a19
942 _cLIBRO_ELEC
999 _c204410
_d204410