Cited by 449Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive LearningOnline and Blended Learning

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In search for the most informative data for feedback generation: Learning analytics in a data-rich context

Tempelaar, Dirk T., Rienties, Bart, Giesbers, Bas·2015·Computers in Human Behavior

DOI 10.1016/j.chb.2014.05.038

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Rienties, 2012, A dynamic analysis of social interaction in Computer Mediated Communication; a preference for autonomous learning, Interactive Learning Environments
Rienties, B., Slade, S., Clow, D., Cooper, M., & Ferguson, R. (submitted for publication). Risks and ethical concerns of Learning Analytics: a state-of-the-art review.
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Authors: Tempelaar, D. T., Rienties, B., & Giesbers, B.
Affiliations: Maastricht University (NL)
The Open University (GB)
Erasmus University Rotterdam (NL)
Corresponding author: Tempelaar, Dirk T.
ORCID: Tempelaar, Dirk T.
Rienties, Bart
Giesbers, Bas
Venue: Computers in Human Behavior
Publisher: Elsevier BV
Published: 2015-06
Volume: 47
Pages: 157-167
ISSN: 0747-5632 (ISSN-L)
DOI: 10.1016/j.chb.2014.05.038
OpenAlex: W1994211543
Cited by: 449
References: 59
Citations by year: 2026: 33 · 2025: 22 · 2024: 25 · 2023: 31 · 2022: 40 · 2021: 51 · 2020: 44 · 2019: 53 · 2018: 60 · 2017: 43 · 2016: 36 · 2015: 10
FWCI: 44.69
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: Computers in Human Behavior (publishedVersion)
Open Research Online - ORO (The Open University) (acceptedVersion)
Research Publications (Maastricht University) (submittedVersion)
Funders: Dutch SURF
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, learning dispositions, formative assessment, virtual learning environments, student performance prediction, underachieving students, blended learning, problem-based learning, e-tutorials, feedback generation

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