Evidence map›Paper›PMID 36281259›Full record

ArticleEducation and information technologies2023

Tackling the challenge of peer learning in hybrid and online universities.

Adrián Mendieta-Aragón, Raquel Arguedas-Sanz, Luis Manuel Ruiz-Gómez, Julio Navío-Marco

Abstract read
In one paragraph

Article in Education and information technologies, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Adrián Mendieta-AragónDepartment of Economic Analysis, National University of Distance Education (UNED), Madrid, Spain.ORCID 0000-0001-8250-9182
Raquel Arguedas-SanzDepartment of Business Economics and Accounting, National University of Distance Education (UNED), Madrid, Spain.ORCID 0000-0001-7368-6347
Luis Manuel Ruiz-GómezDepartment of Business Organization, National University of Distance Education (UNED), Madrid, Spain.ORCID 0000-0002-4607-326X
Julio Navío-MarcoDepartment of Business Organization, National University of Distance Education (UNED), Madrid, Spain.ORCID 0000-0001-5163-9777

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peer learning is not fully developed or researched in online and hybrid higher education. This research analyses a peer learning experience in the asynchronous part of hybrid teaching, in one of the largest blended universities in Europe, promoting students to act as teachers of their peers, by preparing digital content (videos) for the course. This article studies whether there are behaviour patterns and different perceptions associated between students who act as teachers, and those who only act as students. The results indicate, among other findings, that students demand this type of activities, and value them very positively. Specifically, the "teachers" consider that this activity increases their motivation for the subject and their performance; they also consider that it significantly improves their creativity and communication skills, and they would definitely participate in the project again. The assessment of the students who merely view the materials is also very positive, and they prefer a learning method through classmate videos than the traditional learning method with printed materials. The research is also a boost to finding ways to promote learning among equals in non-classroom teaching in digital environments.

Indexed as

Blended learningHybrid universityLearner-generated contentOnline teachingPeer learning

Identifiers

PMID36281259
PMCPMC9582399

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.