000 04243nam a22005535i 4500
001 978-3-642-11224-9
003 DE-He213
005 20140220084530.0
007 cr nn 008mamaa
008 100306s2010 gw | s |||| 0|eng d
020 _a9783642112249
_9978-3-642-11224-9
024 7 _a10.1007/978-3-642-11224-9
_2doi
050 4 _aTA329-348
050 4 _aTA640-643
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
100 1 _aXhafa, Fatos.
_eeditor.
245 1 0 _aComputational Intelligence for Technology Enhanced Learning
_h[electronic resource] /
_cedited by Fatos Xhafa, Santi Caballé, Ajith Abraham, Thanasis Daradoumis, Angel Alejandro Juan Perez.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
300 _a250p. 63 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v273
505 0 _aIntelligent Techniques in Personalization of Learning in e-Learning Systems -- Fuzzy ECA Rules for Pervasive Decision-Centric Personalised Mobile Learning -- Developing an Adaptive Learning Based Tourism Information System Using Ant Colony Metaphor -- Intelligent and Interactive Web-Based Tutoring System in Engineering Education: Reviews, Perspectives and Development -- Granular Mining of Student’s Learning Behavior in Learning Management System Using Rough Set Technique -- T-Learning 2.0: A Personalised Hybrid Approach Based on Ontologies and Folksonomies -- Computational Intelligence Infrastructure in Support for Complex e-Learning Systems -- SISINE: A Negotiation Training Dedicated Multi-Player Role-Playing Platform Using Artificial Intelligence Skills -- Computational Intelligence Methods for Data Analysis and Mining of eLearning Activities -- Advanced Learning Technology Systems in Mathematics Education.
520 _aE-Learning has become one of the most wide spread ways of distance teaching and learning. Technologies such as Web, Grid, and Mobile and Wireless networks are pushing teaching and learning communities to find new and intelligent ways of using these technologies to enhance teaching and learning activities. Indeed, these new technologies can play an important role in increasing the support to teachers and learners, to shorten the time to learning and teaching; yet, it is necessary to use intelligent techniques to take advantage of these new technologies to achieve the desired support to teachers and learners and enhance learners’ performance in distributed learning environments. The chapters of this volume bring advances in using intelligent techniques for technology enhanced learning as well as development of e-Learning applications based on such techniques and supported by technology. Such intelligent techniques include clustering and classification for personalization of learning, intelligent context-aware techniques, adaptive learning, data mining techniques and ontologies in e-Learning systems, among others. Academics, scientists, software developers, teachers and tutors and students interested in e-Learning will find this book useful for their academic, research and practice activity.
650 0 _aEngineering.
650 0 _aInformation systems.
650 0 _aArtificial intelligence.
650 0 _aEngineering mathematics.
650 1 4 _aEngineering.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _ae-Commerce/e-business.
650 2 4 _aInformation Systems and Communication Service.
700 1 _aCaballé, Santi.
_eeditor.
700 1 _aAbraham, Ajith.
_eeditor.
700 1 _aDaradoumis, Thanasis.
_eeditor.
700 1 _aJuan Perez, Angel Alejandro.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642112232
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v273
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-11224-9
912 _aZDB-2-ENG
999 _c111815
_d111815