Cited by 86Online Learning and AnalyticsArtificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive Learning

Educator perspectives on learning analytics in classroom practice

Shibani, Antonette, Knight, Simon, Buckingham Shum, Simon·2020·The Internet and Higher Education

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Crossref · 10.1016/j.iheduc.2020.100730

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Research works printed but not linked: 1

  1. Buckingham Shum, S., & McKay, T. (2018). Architecting for learning analytics. Innovating for sustainable impact. EDUCAUSE review, 53(2), 25-37.

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Authors
Shibani, A., Knight, S., & Buckingham Shum, S.
Affiliations
University of Technology Sydney (AU)
Corresponding author
Shibani, Antonette
Venue
The Internet and Higher Education
Publisher
Elsevier BV
Published
2020-07
Volume
46
Pages
100730
ISSN
1096-7516 (ISSN-L)
OpenAlex
W3007417543
Cited by
86
References
54
Citations by year
2026: 9 · 2025: 12 · 2024: 14 · 2023: 17 · 2022: 17 · 2021: 12 · 2020: 5
FWCI
11.18
Type
journal article
Language
en
Open access
closed
Locations
  • The Internet and Higher Education (publishedVersion)
  • UTS ePRESS (University of Technology Sydney) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
Keywords
learning analytics, educator perspectives, automated writing feedback, teaching practice, university teaching, technology adoption, implementation strategies, student agency, researcher-practitioner collaboration

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