Cited by 242Mobile Learning in EducationOnline Learning and AnalyticsInnovative Teaching and Learning Methods

Time will tell: The role of mobile learning analytics in self-regulated learning

Open access
Tabuenca, Bernardo, Kalz, Marco, Drachsler, Hendrik, Specht, Marcus·2015·Computers & Education

Integrity signals

Registry

Crossref · 10.1016/j.compedu.2015.08.004

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Notifications can positively affect time management skills.

    “Tabuenca et al. (2015) noted that notifications can positively affect time management skills.”
  • Tabuenca et al. (2015) found students most active on mobile phones from 9 a.m. to 3 p.m.

    “This finding is also partially supported by Tabuenca, Kalz, Drachsler, and Specht (2015), who found that students were most active on their mobile phones from 9 a.m. to 3 p.m.”

    From When Do Learners Study? (2022) · cites this paper as Tabuenca, Kalz, Drachsler, and Specht (2015)

  • Notifications are typically sent at random times or hard-coded times in the LMS app, which might not be based on theoretical/empirical reasoning and might result in undesirable learning impacts.

    “Typically, notifications are sent at a random time of day or whatever time has been hard-coded in the LMS app-which might not be based on theoretical/empirical reasoning, both of which might result in undesirable learning impacts (Tabuenca et al., 2015; Stockwell, 2010).”

    From When Do Learners Study? (2022) · cites this paper as Tabuenca et al., 2015

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Authors
Tabuenca, B., Kalz, M., Drachsler, H., & Specht, M.
Affiliations
Open University of the Netherlands (NL)
Corresponding author
Tabuenca, Bernardo
Venue
Computers & Education
Publisher
Elsevier BV
Published
2015-11
Volume
89
Pages
53-74
ISSN
0360-1315 (ISSN-L)
OpenAlex
W1897126621
Cited by
242
References
1
Citations by year
2026: 9 · 2025: 10 · 2024: 20 · 2023: 18 · 2022: 31 · 2021: 26 · 2020: 31 · 2019: 24 · 2018: 33 · 2017: 19 · 2016: 9 · 2015: 7 · 2014: 4 · 2013: 1
FWCI
61.12
Type
journal article
Language
en
Open access
Locations
  • Computers & Education (publishedVersion)
  • DSpace (Open University in the Netherlands) (publishedVersion, cc-by-nc-nd)
  • DSpace (Open University in the Netherlands) (submittedVersion, cc-by-nc-nd)
  • DSpace (Open University in the Netherlands) (submittedVersion, other-oa)
Funders
  • Learning Analytics Community Exchange (LACE) project
  • European Commission (619424)
Topics
  • Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
  • Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
Keywords
student self-regulation, time tracking, time management, mobile notifications, reflective practice, online courses, graduate students, mobile learning

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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