000 03664nam a22006015i 4500
001 978-3-030-58948-6
003 DE-He213
005 20240508090327.0
007 cr nn 008mamaa
008 210311s2021 sz | s |||| 0|eng d
020 _a9783030589486
_9978-3-030-58948-6
024 7 _a10.1007/978-3-030-58948-6
_2doi
050 4 _aHA1-4737
072 7 _aJHBC
_2bicssc
072 7 _aSOC027000
_2bisacsh
072 7 _aJHBC
_2thema
082 0 4 _a300.727
_223
245 1 0 _aInnovative Learning Environments in STEM Higher Education
_h[electronic resource] :
_bOpportunities, Challenges, and Looking Forward /
_cedited by Jungwoo Ryoo, Kurt Winkelmann.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXV, 137 p. 8 illus., 7 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Statistics,
_x2191-5458
505 0 _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.
506 0 _aOpen Access
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.
650 0 _aSocial sciences
_xStatistical methods.
650 0 _aMachine learning.
650 0 _aMathematical statistics
_xData processing.
650 0 _aLearning, Psychology of.
650 0 _aExpert systems (Computer science).
650 1 4 _aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
650 2 4 _aMachine Learning.
650 2 4 _aStatistics and Computing.
650 2 4 _aInstructional Psychology.
650 2 4 _aKnowledge Based Systems.
700 1 _aRyoo, Jungwoo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aWinkelmann, Kurt.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030589479
776 0 8 _iPrinted edition:
_z9783030589493
830 0 _aSpringerBriefs in Statistics,
_x2191-5458
856 4 0 _uhttps://doi.org/10.1007/978-3-030-58948-6
912 _aZDB-2-SMA
912 _aZDB-2-SXMS
912 _aZDB-2-SOB
999 _c37746
_d37746