03638nam 22006375 450 991048433900332120200702025113.03-030-13743-010.1007/978-3-030-13743-4(CKB)4100000007810300(MiAaPQ)EBC5733022(DE-He213)978-3-030-13743-4(PPN)243769962(EXLCZ)99410000000781030020190316d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMachine Learning Paradigms Advances in Learning Analytics /edited by Maria Virvou, Efthimios Alepis, George A. Tsihrintzis, Lakhmi C. Jain1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (230 pages)Intelligent Systems Reference Library,1868-4394 ;1583-030-13742-2 This 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.Intelligent Systems Reference Library,1868-4394 ;158Computational intelligenceArtificial intelligenceLearningInstructionData miningComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Learning & Instructionhttps://scigraph.springernature.com/ontologies/product-market-codes/O22000Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Computational intelligence.Artificial intelligence.Learning.Instruction.Data mining.Computational Intelligence.Artificial Intelligence.Learning & Instruction.Data Mining and Knowledge Discovery.371.334371.334Virvou Mariaedthttp://id.loc.gov/vocabulary/relators/edtAlepis Efthimiosedthttp://id.loc.gov/vocabulary/relators/edtTsihrintzis George Aedthttp://id.loc.gov/vocabulary/relators/edtJain Lakhmi Cedthttp://id.loc.gov/vocabulary/relators/edtBOOK9910484339003321Machine Learning Paradigms1995437UNINA