LEADER 05752nam 22011655 450 001 9910473457603321 005 20230616192827.0 010 $a3-030-58948-X 024 7 $a10.1007/978-3-030-58948-6 035 $a(CKB)4100000011797605 035 $a(DE-He213)978-3-030-58948-6 035 $a(MiAaPQ)EBC6515574 035 $a(Au-PeEL)EBL6515574 035 $a(OCoLC)1244026176 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/64055 035 $a(PPN)254721222 035 $a(EXLCZ)994100000011797605 100 $a20210311d2021 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInnovative Learning Environments in STEM Higher Education$b[electronic resource] $eOpportunities, Challenges, and Looking Forward /$fedited by Jungwoo Ryoo, Kurt Winkelmann 205 $a1st ed. 2021. 210 $cSpringer Nature$d2021 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (XV, 137 p. 8 illus., 7 illus. in color.) 225 1 $aSpringerBriefs in Statistics,$x2191-544X 311 $a3-030-58947-1 327 $a1. Introduction -- 2. X-FILEs Vision for personalized and Adaptive Learning -- 3. X-FILEs Vision for Multi-modal Learning Formats -- 4. X-FILEs Vision for Extended/Cross Reality (XR) -- 5. X-FILEs Vision for Artificial Intelligence (AI) and Machine Learning (ML) -- 6. Cross-Cutting Concerns -- 7. Epilogue. 330 $aAs explored in this open access book, higher education in STEM fields is influenced by many factors, including education research, government and school policies, financial considerations, technology limitations, and acceptance of innovations by faculty and students. In 2018, Drs. Ryoo and Winkelmann explored the opportunities, challenges, and future research initiatives of innovative learning environments (ILEs) in higher education STEM disciplines in their pioneering project: eXploring the Future of Innovative Learning Environments (X-FILEs). Workshop participants evaluated four main ILE categories: personalized and adaptive learning, multimodal learning formats, cross/extended reality (XR), and artificial intelligence (AI) and machine learning (ML). This open access book gathers the perspectives expressed during the X-FILEs workshop and its follow-up activities. It is designed to help inform education policy makers, researchers, developers, and practitioners about the adoption and implementation of ILEs in higher education. 410 0$aSpringerBriefs in Statistics,$x2191-544X 606 $aStatistics  606 $aMachine learning 606 $aLearning 606 $aInstruction 606 $aKnowledge representation (Information theory)  606 $aStatistics for Social Sciences, Humanities, Law$3https://scigraph.springernature.com/ontologies/product-market-codes/S17040 606 $aMachine Learning$3https://scigraph.springernature.com/ontologies/product-market-codes/I21010 606 $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008 606 $aLearning & Instruction$3https://scigraph.springernature.com/ontologies/product-market-codes/O22000 606 $aKnowledge based Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I21030 606 $aEducació STEM$2thub 606 $aEducació superior$2thub 608 $aLlibres electrònics$2thub 610 $aStatistics for Social Sciences, Humanities, Law 610 $aMachine Learning 610 $aStatistics and Computing/Statistics Programs 610 $aLearning & Instruction 610 $aKnowledge based Systems 610 $aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy 610 $aStatistics and Computing 610 $aEducation 610 $aInnovative Learning Environments 610 $aILEs 610 $aScience, Technology, Engineering, and Math 610 $aSTEM 610 $avirtual reality 610 $aVR 610 $aaugmented reality 610 $amixed reality 610 $across reality 610 $aextended reality 610 $aartificial intelligence 610 $aAI 610 $aadaptive learning 610 $apersonalized learning 610 $ahigher education 610 $amultimodal learning 610 $amobile learning 610 $aOpen Access 610 $aSocial research & statistics 610 $aMathematical & statistical software 610 $aTeaching skills & techniques 610 $aCognition & cognitive psychology 610 $aExpert systems / knowledge-based systems 615 0$aStatistics . 615 0$aMachine learning. 615 0$aLearning. 615 0$aInstruction. 615 0$aKnowledge representation (Information theory) . 615 14$aStatistics for Social Sciences, Humanities, Law. 615 24$aMachine Learning. 615 24$aStatistics and Computing/Statistics Programs. 615 24$aLearning & Instruction. 615 24$aKnowledge based Systems. 615 7$aEducació STEM 615 7$aEducació superior 676 $a519.5 700 $aRyoo$b Jungwoo$4edt$01354838 702 $aRyoo$b Jungwoo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWinkelmann$b Kurt$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910473457603321 996 $aInnovative Learning Environments in STEM Higher Education$93358432 997 $aUNINA