000 | 03664nam a22006015i 4500 | ||
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001 | 978-3-030-58948-6 | ||
003 | DE-He213 | ||
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007 | cr nn 008mamaa | ||
008 | 210311s2021 sz | s |||| 0|eng d | ||
020 |
_a9783030589486 _9978-3-030-58948-6 |
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024 | 7 |
_a10.1007/978-3-030-58948-6 _2doi |
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072 | 7 |
_aJHBC _2bicssc |
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_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. |
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300 |
_aXV, 137 p. 8 illus., 7 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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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. |
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650 | 0 | _aMachine learning. | |
650 | 0 |
_aMathematical statistics _xData processing. |
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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 |
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912 | _aZDB-2-SXMS | ||
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