000 03571nam a22004935i 4500
001 978-3-319-02078-5
003 DE-He213
005 20200421111843.0
007 cr nn 008mamaa
008 130928s2014 gw | s |||| 0|eng d
020 _a9783319020785
_9978-3-319-02078-5
024 7 _a10.1007/978-3-319-02078-5
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aDias, Sofia B.
_eauthor.
245 1 0 _aTowards an Intelligent Learning Management System Under Blended Learning
_h[electronic resource] :
_bTrends, Profiles and Modeling Perspectives /
_cby Sofia B. Dias, Jos�e A. Diniz, Leontios J. Hadjileontiadis.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXXIV, 235 p. 36 illus., 2 illus. in color.
_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 ;
_v59
505 0 _aPart I Review of Literature: From Macro to Micro Intelligent -- Part II Blending Quantitative and Qualitative Methods: Triangulation as a State of Mind -- Part III The Art and Science of a Case Study in Higher Education: Towards a Pro-Intelligent System -- Part IV Overall Landscape -- Part IV Overall Landscape.
520 _aWhat are the key channels to change in blended instructional practice as they relate to the use of a learning management system (LMS)? What role LMS users' profiles play in facilitating change in practice? Can we model users' quality of interaction (QoI) with LMS? How inclusiveness and affectiveness could lead to a personalized intelligent LMS (iLMS)? If these questions sound intrinsic to you and to your own experience and circumstance, then this book fits absolutely to you. Here, the term Blended - viewed as a fuzzy concept - is understood as a stepping-stone on the way to the future, to explain the multiple ways human beings think/act/feel of society in the 21st century and to embrace the opportunity of humans to re/co-construct new knowledge through the intermediation role of the technology. Initially, based on an online learning environment' theoretical framework, some current issues of the educational processes in the digital age of Web 2.0 are analyzed. Then, after exploring the main methodological procedures, characteristic examples of research case studies follow, including LMS users' trends and profiles and modeling of their QoI using fuzzy logic. This book offers useful information that evokes initiatives towards rethinking of the value, efficiency, inclusiveness, affectiveness and personalization of the iLMS-based b-learning environment, both by the educators, the LMS designers and educational policy decision makers.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aComputational intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aDiniz, Jos�e A.
_eauthor.
700 1 _aHadjileontiadis, Leontios J.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319020778
830 0 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v59
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-02078-5
912 _aZDB-2-ENG
942 _cEBK
999 _c55692
_d55692