Lessons Learned from Online Learning at Scale: A Study of Exemplar Learning Organizations

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  • Author(s): Li, Siyuan; Craig, Scotty D. (ORCID Craig, Scotty D. (ORCID 0000-0002-4103-5547); Schroeder, Noah L.
  • Language:
    English
  • Source:
    TechTrends: Linking Research and Practice to Improve Learning. Jan 2023 67(1):84-97.
  • Publication Date:
    2023
  • Document Type:
    Journal Articles
    Reports - Research
    Tests/Questionnaires
  • Additional Information
    • Availability:
      Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: [email protected]; Web site: https://link.springer.com/
    • Peer Reviewed:
      Y
    • Source:
      14
    • Sponsoring Agency:
      US Department of Defense (DOD)
    • Contract Number:
      HQ003419C0015
    • Subject Terms:
    • Accession Number:
      10.1007/s11528-022-00761-6
    • ISSN:
      8756-3894
      1559-7075
    • Abstract:
      As the areas of education and workforce training tend more toward online training, they have emphasized the rapid setup and expansion of online environments. This scaling-up and scaling-out of training programs can be difficult, but there are examples of success available for us to learn from. To capture the lessons learned, we conducted semi-structured interviews across academic, public, private, and non-profit organizations. Using deductive thematic analysis, three major groups of determinants were identified: technological infrastructure, human infrastructure, and governance. A framework consisting of three actionable recommendations was created to facilitate online learning organizational scaling-up including learner (learning experiences and user-friendly design), technical (technical competencies and the use of integrated data), and management (technical competencies for both learners and instructors as well as the use of integrated data) factors.
    • Abstract:
      As Provided
    • Publication Date:
      2023
    • Accession Number:
      EJ1361496