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: Learning with Technologies and Technologies in Learning
    sub title: Experience, Trends and Challenges in Higher Education
  name:
    name part: Auer, Michael E.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Pester, Andreas.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: May, Dominik.
    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: 2022
    edition: 1st ed. 2022.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XIV, 706 pages 275 illustrations, 187 illustrations in color)
  abstract: Education has always been one of the cornerstones for societal evolution and economic growth. We are currently witnessing a significant transformation in the development of education and especially post-secondary education. The use of technology impacts the way educational content is presented and acquired in many areas. The designs of immersive educational worlds and the combination of rational and emotional educational experiences that cannot be designed in the same way in the traditional classroom will come increasingly into focus. Seen in this way the book also contributes to generalize the experience of the COVID-19 crisis and its impact to quality of learning and education. Scientifically based statements as well as excellent experiences (best practice) are necessary. This book contains scientific papers in the fields of: The future of learning Eruptive technologies in learning Pedagogy of online learning Deep learning vs machine learning: opportunities and challenges Reimagining and rapid transition of learning Interested readership includes policymakers, academics, educators, researchers in pedagogy and learning theory, schoolteachers, learning industry, further and continuing education lecturers, et cetera.
  table of contents: Introduction to The Future of Learning -- Shaping the Future of Learning. A Trend Analysis of Higher Education Under Emerging Shifts -- Dual Instructional Engineering towards the goals of the 2030 Agenda for Sustainable Development -- Social Interaction and Communication in Digital Learning Environments. Qualitative Interview Study in the field of Teacher Training -- Potential Impact of Open Educational Resources and Practices for Good Teaching at Universities. The OER Impact Assessment at TU Graz -- Augmented Reality and its use as a helping tool in Education -- The use of Augmented Reality as an aid in the perception and learning of human body anatomical structures by students of Medical Schools -- Learning Tool for Phobia Handling Based on Virtual Reality -- Introduction to Eruptive Technologies in Learning -- Towards Developing Computational Thinking Skills through Gamified Learning Platforms for Students with Autism -- Augmented Reality as a teaching resource in Higher Education -- Practical Digital Engineering Education: Integration of multiple innovative Technologies in one Smart Factory Example -- New Ways for Distributed Remote Web Experiments -- Pedagogical Intelligence in Virtual Reality Environments -- Using Immersive Technologies to Rethink Engineering Education in Ireland (REEdI) -- Experience API (xAPI) for Virtual Reality (VR) education in Medicine.
  note: edited by Michael E. Auer, Andreas Pester, Dominik May.
  subject:
    topic: Computational intelligence
  subject:
    topic: Study Skills
  subject:
    topic: Machine learning
  subject:
    topic: Computational Intelligence
  subject:
    topic: Study and Learning Skills
  subject:
    topic: Machine Learning
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: Lecture Notes in Networks and Systems, 456
  identifier: 9978-3-031-04286-7
  identifier: 9783031042867
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 220912
    record change date: 20240805185331.4
    record identifier: in00004657664