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040 _a WSPC
_b eng
_c WSPC
020 _a9789811207464
_q(ebook)
020 _a9811207461
_q(ebook)
020 _z9811207453
_q(hbk.)
020 _z9789811207457
_q(hbk.)
050 0 4 _aLB1028.3
_b.S86
072 7 _aCOM
_x004000
_2bisacsh
072 7 _aCOM
_x037000
_2bisacsh
082 0 4 _a371.33
_223
100 1 _aSun, Geng.
_9178362
245 1 0 _aAdaptive micro learning
_h[electronic resource] :
_busing fragmented time to learn /
_cby Geng Sun, Jun Shen, Jiayin Lin.
260 _aSingapore :
_bWorld Scientific,
_c[2020]
300 _a1 online resource (vi, 144 p.)
490 1 _aIntelligent information systems ;
_v5
520 _a"This compendium introduces an artificial intelligence-supported solution to realize adaptive micro learning over open education resource (OER). The advantages of cloud computing and big data are leveraged to promote the categorization and customization of OERs micro learning context. For a micro-learning service, OERs are tailored into fragmented pieces to be consumed within shorter time frames"--Publisher's website.
505 0 _aIntroduction -- Literature review -- Research design -- Comprehensive learner model for micro open -- Semantic knowledge base construction : education data -- Online computation for mlaas -- Implementation and empirical evaluation -- Conclusion -- Index.
538 _aMode of access: World Wide Web.
538 _aSystem requirements: Adobe Acrobat Reader.
650 0 _aEducational innovations.
_9178363
650 0 _aArtificial intelligence
_xEducational applications.
_9178364
650 0 _aComputer-assisted instruction.
_913081
650 0 _aTeaching
_xAids and devices.
_9178365
650 0 _aCloud computing.
_94659
650 0 _aBig data.
_94174
655 0 _aElectronic books.
_93294
700 1 _aShen, Jun.
_9178366
700 1 _aLin, Jiayin.
_9178367
830 0 _aIntelligent information systems ;
_v5.
_9178368
942 _cEBK
999 _c97760
_d97760