Cited by 109Online Learning and AnalyticsInnovative Teaching and Learning MethodsIntelligent Tutoring Systems and Adaptive Learning

Investigating prompts for supporting students' self-regulation – A remaining challenge for learning analytics approaches?

Schumacher, Clara, Ifenthaler, Dirk·2021·The Internet and Higher Education

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Crossref · 10.1016/j.iheduc.2020.100791

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77 of 77 references verified0 citation errors · 0 not checkable

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  • Delivering personalised scaffolds automatically during a student task requires formulating rules that map learning analytics insights to actionable suggestions for specific learning tasks.

    “However, delivering personalised scaffolds automatically during the student task requires the formulation of rules that map insights from LA to actionable suggestions for specific learning tasks (Backhaus et al., 2017; Schumacher and Ifenthaler, 2021; Li et al., 2023; Liu et al., 2024b; Gunawardena et al., 2024; Li et al., 2025).”

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Authors
Schumacher, C., & Ifenthaler, D.
Affiliations
  • Humboldt-Universität zu Berlin (DE)
  • University of Mannheim (DE)
Corresponding author
Schumacher, Clara
Venue
The Internet and Higher Education
Publisher
Elsevier BV
Published
2021-04
Volume
49
Pages
100791
ISSN
1096-7516 (ISSN-L)
OpenAlex
W3111738764
Cited by
109
References
80
Citations by year
2026: 12 · 2025: 18 · 2024: 18 · 2023: 33 · 2022: 24 · 2021: 4
FWCI
14.01
Type
journal article
Language
en
Open access
closed
Locations
  • The Internet and Higher Education (publishedVersion)
  • eSpace (Curtin University) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
  • Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
Keywords
student self-regulation, prompting, learning analytics, trace data, metacognitive prompts, declarative knowledge, knowledge transfer, online learning behavior, adaptive prompts, higher education learners

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