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010   $a3-030-13743-0
024 7 $a10.1007/978-3-030-13743-4
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035   $a(MiAaPQ)EBC5733022
035   $a(DE-He213)978-3-030-13743-4
035   $a(PPN)243769962
035   $a(EXLCZ)994100000007810300
100   $a20190316d2020      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMachine Learning Paradigms $eAdvances in Learning Analytics /$fedited by Maria Virvou, Efthimios Alepis, George A. Tsihrintzis, Lakhmi C. Jain
205   $a1st ed. 2020.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020.
215   $a1 online resource (230 pages)
225 1 $aIntelligent Systems Reference Library,$x1868-4394 ;$v158
311   $a3-030-13742-2 
330   $aThis book presents recent machine learning paradigms and advances in learning analytics, an emerging research discipline concerned with the collection, advanced processing, and extraction of useful information from both educators? and learners? data with the goal of improving education and learning systems. In this context, internationally respected researchers present various aspects of learning analytics and selected application areas, including: ? Using learning analytics to measure student engagement, to quantify the learning experience and to facilitate self-regulation; ? Using learning analytics to predict student performance; ? Using learning analytics to create learning materials and educational courses; and ? Using learning analytics as a tool to support learners and educators in synchronous and asynchronous eLearning. The book offers a valuable asset for professors, researchers, scientists, engineers and students of all disciplines. Extensive bibliographies at the end of each chapter guide readers to probe further into their application areas of interest.
410  0$aIntelligent Systems Reference Library,$x1868-4394 ;$v158
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aLearning
606   $aInstruction
606   $aData mining
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aLearning & Instruction$3https://scigraph.springernature.com/ontologies/product-market-codes/O22000
606   $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615  0$aLearning.
615  0$aInstruction.
615  0$aData mining.
615 14$aComputational Intelligence.
615 24$aArtificial Intelligence.
615 24$aLearning & Instruction.
615 24$aData Mining and Knowledge Discovery.
676   $a371.334
676   $a371.334
702   $aVirvou$b Maria$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aAlepis$b Efthimios$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aTsihrintzis$b George A$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aJain$b Lakhmi C$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910484339003321
996   $aMachine Learning Paradigms$91995437
997   $aUNINA