Cited by 303Online and Blended LearningInnovative Teaching and Learning MethodsEducational Technology in Learning

Exploring the impacts of interactions, social presence and emotional engagement on active collaborative learning in a social web-based environment

Open access
Molinillo, Sebastian, Aguilar-Illescas, Rocío, Anaya-Sánchez, Rafael, Vallespín-Arán, María·2018·Computers & Education

Integrity signals

Registry

Crossref · 10.1016/j.compedu.2018.04.012

Cites

10 of 10 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?

Cites

Flagged first, then by citations

Authors
Molinillo, S., Aguilar-Illescas, R., Anaya-Sánchez, R., & Vallespín-Arán, M.
Affiliations
Universidad de Málaga (ES)
Venue
Computers & Education
Publisher
Elsevier BV
Published
2018-08
Volume
123
Pages
41-52
ISSN
0360-1315 (ISSN-L)
OpenAlex
W2802998751
Cited by
303
References
10
Citations by year
2026: 27 · 2025: 43 · 2024: 46 · 2023: 56 · 2022: 58 · 2021: 32 · 2020: 31 · 2019: 10
FWCI
59.18
Type
journal article
Language
en
Open access
Locations
  • Computers & Education (publishedVersion)
  • Repositorio Institucional de la Universidad de Málaga (University of Málaga) (submittedVersion, other-oa)
Topics
  • Social Sciences › Education › Online and Blended Learning
  • Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
  • Physical Sciences › Computer Science › Information Systems › Educational Technology in Learning
Keywords
social presence, emotional engagement, active learning, cooperative learning, student-student interaction, teacher-student relationship, online learning, higher education

About these checks

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.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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