rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Innovative Learning Environments in STEM Higher Education
    sub title: Opportunities, Challenges, and Looking Forward
  name:
    name part: Ryoo, Jungwoo.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Winkelmann, Kurt.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: sz
    date issued: 2021
    edition: 1st ed. 2021.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XV, 137 pages 8 illustrations, 7 illustrations in color.)
  abstract: 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.
  table of contents: 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.
  note: edited by Jungwoo Ryoo, Kurt Winkelmann.
  note: Open Access
  subject:
    topic: Statistics
  subject:
    topic: Machine learning
  subject:
    topic: Learning
  subject:
    topic: Instruction
  subject:
    topic: Knowledge representation (Information theory)
  subject:
    topic: Statistics for Social Sciences, Humanities, Law
  subject:
    topic: Machine Learning
  subject:
    topic: Statistics and Computing/Statistics Programs
  subject:
    topic: Learning & Instruction
  subject:
    topic: Knowledge based Systems
  classification: QA276-280
  classification: 519.5
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: SpringerBriefs in Statistics
  identifier: 9783030589486
  identifier: https://doi.org/10.1007/978-3-030-58948-6
  access condition: Open Access
  record info:
    record creation date: 210311
    record change date: 20230829015742.4
    record identifier: in00004387180