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001430972 001__ 1430972
001430972 003__ OCoLC
001430972 005__ 20230308003215.0
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001430972 019__ $$a1249102108$$a1249944757$$a1250575855$$a1252431246
001430972 020__ $$a9783030589486$$q(electronic bk.)
001430972 020__ $$a303058948X$$q(electronic bk.)
001430972 020__ $$z9783030589479
001430972 0247_ $$a10.1007/978-3-030-58948-6$$2doi
001430972 035__ $$aSP(OCoLC)1244026176
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001430972 049__ $$aISEA
001430972 050_4 $$aQ181
001430972 08204 $$a507.1/1$$223
001430972 24500 $$aInnovative learning environments in STEM higher education :$$bopportunities, challenges, and looking forward /$$cJungwoo Ryoo, Kurt Winkelmann, editors.
001430972 264_1 $$aCham :$$bSpringer,$$c[2021]
001430972 300__ $$a1 online resource (xv, 137 pages) :$$billustrations (chiefly color)
001430972 336__ $$atext$$btxt$$2rdacontent
001430972 337__ $$acomputer$$bc$$2rdamedia
001430972 338__ $$aonline resource$$bcr$$2rdacarrier
001430972 4901_ $$aSpringerBriefs in statistics,$$x2191-544X
001430972 504__ $$aIncludes bibliographical references and index.
001430972 5050_ $$a1. Introduction -- 2. X-FILEs Vision for personalized and Adaptive Learning -- 3. X-FILEs Vision for Multi-modal Learning Formats -- 4. X-FILEs Vision for Extended/Cross Reality (XR) -- 5. X-FILEs Vision for Artificial Intelligence (AI) and Machine Learning (ML) -- 6. Cross-Cutting Concerns -- 7. Epilogue.
001430972 5060_ $$aOpen access$$5GW5XE
001430972 520__ $$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.
001430972 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 31, 2021).
001430972 650_0 $$aScience$$xStudy and teaching (Higher)
001430972 650_0 $$aTechnology$$xStudy and teaching (Higher)
001430972 650_0 $$aEngineering$$xStudy and teaching (Higher)
001430972 650_0 $$aMathematics$$xStudy and teaching (Higher)
001430972 650_6 $$aSciences$$xÉtude et enseignement (Supérieur)
001430972 655_0 $$aElectronic books.
001430972 7001_ $$aRyoo, Jungwoo,$$eeditor.
001430972 7001_ $$aWinkelmann, Kurt,$$eeditor.
001430972 7760_ $$z3030589471
001430972 830_0 $$aSpringerBriefs in statistics.$$x2191-544X
001430972 852__ $$bebk
001430972 85640 $$3Springer Nature$$uhttps://link.springer.com/10.1007/978-3-030-58948-6$$zOnline Access$$91397441.2
001430972 909CO $$ooai:library.usi.edu:1430972$$pGLOBAL_SET
001430972 980__ $$aBIB
001430972 980__ $$aEBOOK
001430972 982__ $$aEbook
001430972 983__ $$aOnline
001430972 994__ $$a92$$bISE