Cited by 72Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive LearningOnline and Blended Learning

Learning Analytics Intervention Improves Students’ Engagement in Online Learning

Karaoglan Yilmaz, Fatma Gizem, Yilmaz, Ramazan·2022·Technology, Knowledge and Learning

Integrity signals

Registry

Crossref · 10.1007/s10758-021-09547-w

Cites

43 of 43 references verified0 citation errors · 0 not checkable

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  • An individualized approach to feedback is supported by research on differentiated instruction, which emphasizes recognizing and addressing diverse learning needs within a cohort.

    “This individualized approach is supported by research on differentiated instruction [137,138], which emphasizes the importance of recognizing and addressing the diverse learning needs within a cohort.”

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Authors
Karaoglan Yilmaz, F. G., & Yilmaz, R.
Venue
Technology, Knowledge and Learning
Published
2021-06-30
Volume
27
Issue
2
Pages
449-460
ISSN
  • 2211-1662 (ISSN-L)
  • 2211-1670
OpenAlex
W3176610658
Cited by
71
References
43
Citations by year
2026: 9 · 2025: 18 · 2024: 14 · 2023: 23 · 2022: 7
FWCI
9.31
Type
journal article
Language
en
Open access
closed
Locations
Technology Knowledge and Learning (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
  • Social Sciences › Education › Online and Blended Learning
Keywords
learning analytics, student engagement, online learning, metacognitive feedback, personalized feedback, behavioral engagement, cognitive engagement, emotional engagement, first-year students

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