05752nam 22011655 450 991047345760332120230616192827.03-030-58948-X10.1007/978-3-030-58948-6(CKB)4100000011797605(DE-He213)978-3-030-58948-6(MiAaPQ)EBC6515574(Au-PeEL)EBL6515574(OCoLC)1244026176(oapen)https://directory.doabooks.org/handle/20.500.12854/64055(PPN)254721222(EXLCZ)99410000001179760520210311d2021 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierInnovative Learning Environments in STEM Higher Education[electronic resource] Opportunities, Challenges, and Looking Forward /edited by Jungwoo Ryoo, Kurt Winkelmann1st ed. 2021.Springer Nature2021Cham :Springer International Publishing :Imprint: Springer,2021.1 online resource (XV, 137 p. 8 illus., 7 illus. in color.)SpringerBriefs in Statistics,2191-544X3-030-58947-1 1. 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.As 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.SpringerBriefs in Statistics,2191-544XStatistics Machine learningLearningInstructionKnowledge representation (Information theory) Statistics for Social Sciences, Humanities, Lawhttps://scigraph.springernature.com/ontologies/product-market-codes/S17040Machine Learninghttps://scigraph.springernature.com/ontologies/product-market-codes/I21010Statistics and Computing/Statistics Programshttps://scigraph.springernature.com/ontologies/product-market-codes/S12008Learning & Instructionhttps://scigraph.springernature.com/ontologies/product-market-codes/O22000Knowledge based Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/I21030Educació STEMthubEducació superiorthubLlibres electrònicsthubStatistics for Social Sciences, Humanities, LawMachine LearningStatistics and Computing/Statistics ProgramsLearning & InstructionKnowledge based SystemsStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public PolicyStatistics and ComputingEducationInnovative Learning EnvironmentsILEsScience, Technology, Engineering, and MathSTEMvirtual realityVRaugmented realitymixed realitycross realityextended realityartificial intelligenceAIadaptive learningpersonalized learninghigher educationmultimodal learningmobile learningOpen AccessSocial research & statisticsMathematical & statistical softwareTeaching skills & techniquesCognition & cognitive psychologyExpert systems / knowledge-based systemsStatistics .Machine learning.Learning.Instruction.Knowledge representation (Information theory) .Statistics for Social Sciences, Humanities, Law.Machine Learning.Statistics and Computing/Statistics Programs.Learning & Instruction.Knowledge based Systems.Educació STEMEducació superior519.5Ryoo Jungwooedt1354838Ryoo Jungwooedthttp://id.loc.gov/vocabulary/relators/edtWinkelmann Kurtedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910473457603321Innovative Learning Environments in STEM Higher Education3358432UNINA