02158nam 2200577 450 991081023130332120230803030500.01-4081-9388-41-4081-9389-2(CKB)2670000000387807(EBL)1220316(SSID)ssj0000915451(PQKBManifestationID)12381740(PQKBTitleCode)TC0000915451(PQKBWorkID)10868894(PQKB)10448032(MiAaPQ)EBC1220316(MiAaPQ)EBC3003339(MiAaPQ)EBC6163250(Au-PeEL)EBL3003339(OCoLC)928191980(EXLCZ)99267000000038780720200723e20132010 uy 0engur|n|---|||||txtccrThe cleverness of boys /Sally Featherstone and Ros BayleyLondon :A & C Black,2013.©20101 online resource (129 p.)Early Years LibraryDescription based upon print version of record.1-4081-1468-2 Includes bibliographical references.Cover; Contents; Introduction; Nature, nurture, culture and chance; The growth of the brain in boys and girls; Paul the risk taker; Adam the scientist; Donovan the sportsman; Leroy the leader; Michael the superhero; Oliver the thinker; Shawn the friend; Stevie the actor; Further reading and resourcesThe differences between boys and girls, in development and attitude to learning are well documented, and a formalised early curriculum emphasises these differences. The abilities of most girls to meet goals for learning at an earlier age may result in a tEarly Years LibraryBoysEducationGreat BritainBoysEducation371.82341Featherstone Sally1636245Bayley Ros1949-MiAaPQMiAaPQMiAaPQBOOK9910810231303321The cleverness of boys4120273UNINA03638nam 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