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: Utilizing Learning Analytics to Support Study Success
  name:
    name part: Ifenthaler, Dirk.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Mah, Dana-Kristin.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Yau, Jane Yin-Kim.
    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
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXIV, 328 p. 47 illus., 24 illus. in color. online resource.
  abstract: Students often enter higher education academically unprepared and with unrealistic perceptions and expectations of university life, which are critical factors that influence students' decisions to leave their institutions prior to degree completion. Advances in educational technology and the current availability of vast amounts of educational data make it possible to represent how students interact with higher education resources, as well as provide insights into students' learning behavior and processes. This volume offers new research in such learning analytics and demonstrates how they support students at institutions of higher education by offering personalized and adaptive support of their learning journey. It focuses on four major areas of discussion: · Theoretical perspectives linking learning analytics and study success. · Technological innovations for supporting student learning. · Issues and challenges for implementing learning analytics at higher education institutions. · Case studies showcasing successfully implemented learning analytics strategies at higher education institutions. Utilizing Learning Analytics to Support Study Success ably exemplifies how educational data and innovative digital technologies contribute to successful learning and teaching scenarios and provides critical insight to researchers, graduate students, teachers, and administrators in the general areas of education, educational psychology, academic and organizational development, and instructional technology. .
  table of contents: Part I: Theoretical perspectives linking learning analytics and study success -- Part II: Technological innovations for supporting student learning -- Part III: Issues and challenges for implementing learning analytics at higher education institutions -- Part IV: Case studies showcasing successfully implemented learning analytics strategies at higher education institutions -- Index of Subjects and Topics.
  note: edited by Dirk Ifenthaler, Dana-Kristin Mah, Jane Yin-Kim Yau.
  subject:
    topic: Educational technology
  subject:
    topic: Learning
  subject:
    topic: Instruction
  subject:
    topic: Educational Technology
  subject:
    topic: Learning & Instruction
  classification: LC8-6691
  classification: 371.33
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319647920
  identifier: https://doi.org/10.1007/978-3-319-64792-0
  record info:
    record creation date: 190117
    record change date: 20191022181011.0
    record identifier: 978-3-319-64792-0