Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 921

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Blended learning in higher education: Students’ perceptions and their relation to outcomes

Open access
López-Pérez, M. Victoria, Pérez-López, M. Carmen, Rodríguez-Ariza, Lázaro·2011·Computers & Education

Abstract

New information and communication technologies (ICTs) provide educators and learners with an innovative learning environment to stimulate and enhance the teaching and learning process. In this context, novel educational concepts such as blended learning are being developed. In the present paper, we present the results obtained from a blended learning experience carried out at the University of Granada. A total of 17 groups took part, with 1431 students registered for the 2009-2010 academic year. In this study, we use objective outcomes and the students' perceptions regarding the blended learning activities performed. The study shows that the use of blended learning has a positive effect in reducing dropout rates and in improving exam marks. Moreover, the students' perceptions on blended learning are interrelated, with their final marks depending on the blended learning activities, and on the students' age, background and class attendance rate.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.compedu.2010.10.023

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 3 references

Cited by

See all 921

Metadata

Authors
López-Pérez, M. V., Pérez-López, M. C., & Rodríguez-Ariza, L.
Venue
Computers & Education
Publisher
Elsevier BV
Published
2011-04
Volume
56
Issue
3
Pages
818-826
ISSN
0360-1315 (ISSN-L)
OpenAlex
W1986218012
Cited by
921
References
3
FWCI
96.79
Type
journal article
Language
en
Open access
green

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 ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Blended learning in higher education: Students’ perceptions and their relation to outcomes. https://app.cochat.ai/papers/10.1016/j.compedu.2010.10.023
The paper
López-Pérez, M. V., Pérez-López, M. C., & Rodríguez-Ariza, L. (2011). Blended learning in higher education: Students’ perceptions and their relation to outcomes. Computers & Education. https://doi.org/10.1016/j.compedu.2010.10.023

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.