LEADER 02387nlm0 22006491i 450 001 990009260320403321 010 $a9783642018114 035 $a000926032 035 $aFED01000926032 035 $a(Aleph)000926032FED01 035 $a000926032 100 $a20100926d2009----km-y0itay50------ba 101 0 $aeng 102 $aDE 135 $adrnn-008mamaa 200 1 $aComputer Vision/Computer Graphics CollaborationTechniques$bRisorsa elettronica$e4th International Conference, MIRAGE 2009, Rocquencourt, France, May 4-6, 2009. Proceedings$fedited by David Hutchison, Takeo Kanade, Josef Kittler, Jon M. Kleinberg, Friedemann Mattern, John C. Mitchell, Moni Naor, Oscar Nierstrasz, C. Pandu Rangan, Bernhard Steffen, Madhu Sudan, Demetri Terzopoulos, Doug Tygar, Moshe Y. Vardi, Gerhard Weikum, André Gagalowicz, Wilfried Philips 210 $aBerlin ; Heidelberg$cSpringer$d2009 225 1 $aLecture Notes in Computer Science$x0302-9743$v5496 230 $aDocumento elettronico 336 $aTesto 337 $aFormato html, pdf 702 1$aGagalowicz,$bAndré 702 1$aHutchison,$bDavid 702 1$aKanade,$bTakeo 702 1$aKittler,$bJosef 702 1$aKleinberg,$bJon M. 702 1$aMattern,$bFriedemann 702 1$aMitchell,$bJohn C. 702 1$aNaor,$bMoni 702 1$aNierstrasz,$bOscar 702 1$aPandu Rangan,$bC. 702 1$aPhilips,$bWilfried 702 1$aSteffen,$bBernhard 702 1$aSudan,$bMadhu 702 1$aTerzopoulos,$bDemetri 702 1$aTygar,$bDoug 702 1$aVardi,$bMoshe Y. 702 1$aWeikum,$bGerhard 801 0$aIT$bUNINA$gREICAT$2UNIMARC 856 4 $zFull text per gli utenti Federico II$uhttp://dx.doi.org/10.1007/978-3-642-01811-4 901 $aEB 912 $a990009260320403321 961 $aBioinformatics 961 $aComputational Biology/Bioinformatics 961 $aComputer graphics 961 $aComputer Graphics 961 $aComputer Imaging, Vision, Pattern Recognition and Graphics 961 $aComputer science 961 $aComputer Science 961 $aComputer vision 961 $aData mining 961 $aData Mining and Knowledge Discovery 961 $aImage Processing and Computer Vision 961 $aOptical pattern recognition 961 $aPattern Recognition 996 $aComputer Vision$9771992 997 $aUNINA LEADER 01261nam a22002771i 4500 001 991001269709707536 005 20030128145726.0 008 021206m19441952it |||||||||||||||||ita 035 $ab1212378x-39ule_inst 035 $aARCHE-021358$9ExL 040 $aDip.to Filologia Ling. e Lett.$bita$cA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l. 082 04$a450.9 100 1 $aMarinoni, Augusto$036843 245 14$aGli appunti grammaticali e lessicali di Leonardo da Vinci /$cAugusto Marinoni 260 $aMilano :$bCastello Sforzesco,$c1944-1952 300 $a2 v. ;$c28 cm 440 0$aIstituto Nazionale di studi sul Rinascimento.$pSezione Lombardia 650 4$aLeonardo Da Vinci$xAppunti grammaticali 650 4$aLeonardo Da Vinci$xAppunti lessicali 907 $a.b1212378x$b02-04-14$c01-04-03 912 $a991001269709707536 945 $aLE008 FL.M. (f.r.) XXII B 44/1$cV. 1$g1$i2008000511111$lle008$o-$pE0.00$q-$rn$so $t0$u0$v0$w0$x0$y.i12436471$z01-04-03 945 $aLE008 FL.M. (f.r.) XXII B 44/2$cV. 2$g1$i2008000511128$lle008$o-$pE0.00$q-$rn$so $t0$u0$v0$w0$x0$y.i12436483$z01-04-03 996 $aAppunti grammaticali e lessicali di Leonardo da Vinci$9150666 997 $aUNISALENTO 998 $ale008$b01-04-03$cm$da $e-$fita$git $h4$i2 LEADER 04135nam 22006375 450 001 9910799493703321 005 20250807153224.0 010 $a3-031-48235-2 024 7 $a10.1007/978-3-031-48235-9 035 $a(CKB)29526935300041 035 $a(MiAaPQ)EBC31071252 035 $a(Au-PeEL)EBL31071252 035 $a(DE-He213)978-3-031-48235-9 035 $a(OCoLC)1417158785 035 $a(EXLCZ)9929526935300041 100 $a20231227d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEvolution of STEM-Driven Computer Science Education $eThe Perspective of Big Concepts /$fby Vytautas ?tuikys, Renata Burbait? 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (xvi, 360 pages) $cillustrations (some color) 311 08$a3-031-48237-9 311 08$a3-031-48234-4 320 $aIncludes bibliographical references and index. 327 $aContext and model for writing this book: An idea of big concepts -- Part 1: Pedagogical aspects of STEM-driven CS education evolution: Integrated STEM-CS Skills model, personalisation aspects and collaborative learning -- Models for the development and assessment of Integrated STEM (ISTEM) Skills: A case study -- Enforcing STEM-driven CS education through personalisation -- Personal generative libraries for personalised learning: A case study -- Enforcing STEM-driven CS education through collaborative learning -- Part 2: Internet of Things (IoT) and Data Science (DS) concepts in K-12 STEM-driven CS education.-Methodological aspects of educational internet of things -- Multi-stage prototyping for introducing IoT concepts: A case study -- Introducing data science concepts into STEM-driven computer science education -- Part 3: Introduction to artificial intelligence -- A vision for introducing AI topics: A case study -- Speech recognition technology in K-12 STEM-driven computer science education -- Introduction to artificial neural networks and machine learning -- Overall evaluation of this book concepts and approaches. 330 $aThe book discusses the evolution of STEM-driven Computer Science (CS) Education based on three categories of Big Concepts, Smart Education (Pedagogy), Technology (tools and adequate processes) and Content that relates to IoT, Data Science and AI. For developing, designing, testing, delivering and assessing learning outcomes for K-12 students (9-12 classes), the multi-dimensional modelling methodology is at the centre. The methodology covers conceptual and feature-based modelling, prototyping, and virtual and physical modelling at the implementation and usage level. Chapters contain case studies to assist understanding and learning. The book contains multiple methodological and scientific innovations including models, frameworks and approaches to drive STEM-driven CS education evolution. Educational strategists, educators, and researchers will find valuable material in this book to help them improve STEM-drivenCS education strategies, curriculum development, and new ideas for research. . 606 $aComputational intelligence 606 $aEducation$xData processing 606 $aSoftware engineering 606 $aRobotics 606 $aComputational Intelligence 606 $aComputers and Education 606 $aSoftware Engineering 606 $aRobotics 615 0$aComputational intelligence. 615 0$aEducation$xData processing. 615 0$aSoftware engineering. 615 0$aRobotics. 615 14$aComputational Intelligence. 615 24$aComputers and Education. 615 24$aSoftware Engineering. 615 24$aRobotics. 676 $a006.3 700 $aS?tuikys$b V$g(Vytautas)$01762714 701 $aBurbaite?$b Renata$01586158 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910799493703321 996 $aEvolution of STEM-Driven Computer Science Education$94463202 997 $aUNINA