A stakeholder informed professional development framework to support engagement with learning analytics

Geraldine Gray, Ana Schalk, Pauline Rooney, Charles Lang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper reports on a study aimed at identifying training requirements for both staff and students in higher education to enable more widespread use of learning analytics. Opinions of staff and students were captured through ten focus groups (37 students; 40 staff) and two surveys (1,390 students; 160 staff). Participants were predominantly from two higher education institutions in Ireland. Analysis of the results informed a framework for continuous professional development in learning analytics focusing on aspects of using data, legal and ethical considerations, policy, and workload. The framework presented here differentiates between the training needs of students, academic staff and professional services staff.

Original languageEnglish
Title of host publicationLAK 2021 Conference Proceedings - The Impact we Make
Subtitle of host publicationThe Contributions of Learning Analytics to Learning, 11th International Conference on Learning Analytics and Knowledge
PublisherAssociation for Computing Machinery
Pages237-247
Number of pages11
ISBN (Electronic)9781450389358
DOIs
Publication statusPublished - 12 Apr 2021
Event11th International Conference on Learning Analytics and Knowledge: The Impact we Make: The Contributions of Learning Analytics to Learning, LAK 2021 - Virtual, Online, United States
Duration: 12 Apr 202116 Apr 2021

Publication series

NameACM International Conference Proceeding Series

Conference

Conference11th International Conference on Learning Analytics and Knowledge: The Impact we Make: The Contributions of Learning Analytics to Learning, LAK 2021
Country/TerritoryUnited States
CityVirtual, Online
Period12/04/2116/04/21

Keywords

  • Continuous professional development
  • Higher education
  • Learning analytics
  • Stakeholder perspectives

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