Evidence map›Paper›PMID 32469875›Full record

ArticlePloS one2020

Evaluation of educational quality performance on virtual campuses using fuzzy inference systems.

Antonio Cervero, Adrián Castro-Lopez, Lucía Álvarez-Blanco, María Esteban, Ana Bernardo

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
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

4 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Intelligent analysis of the quality of education through teaching practices on virtual campuses.European journal of psychology of education = Journal europeen de psychologie de l'education · 2022
    Article
  3. Article
  4. 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

5 authors at 1 institution in 1 country.

Antonio CerveroDepartment of Psychology, University of Oviedo, Oviedo, Spain.
Adrián Castro-LopezDepartment of Business Administration, University of Oviedo, Oviedo, Spain.ORCID 0000-0001-8905-6251
Lucía Álvarez-BlancoDepartment of Educational Sciences, University of Oviedo, Oviedo, Spain.
María EstebanDepartment of Psychology, University of Oviedo, Oviedo, Spain.
Ana BernardoDepartment of Psychology, University of Oviedo, Oviedo, Spain.
Universidad de Oviedo · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The general objective of this study is to analyze student satisfaction with the use of virtual campuses in university teaching in order to discover the main variables influencing the overall online teaching-learning process that give quality to the virtual educational process. To this end, an ex-post-facto research methodology was applied to 1084 university students, who completed an ad hoc designed questionnaire, which allowed us to carry out descriptive analysis, classification trees and fuzzy inference systems using SPSS and Matlab software. The results suggest that four variables predominantly influence the quality of the teaching-learning processes in virtual campuses: satisfactory teacher responses to student questions and observations, the positive attitude of teachers towards the use of information and communication technologies, students having appropriate digital skills, and activities that encourage ideas and debate.

Indexed as

LearningAcademic PerformanceAdultEducationFemaleHumansMaleSoftwareSpainStudentsSurveys and QuestionnairesTeachingTelecommunicationsUniversitiesUser-Computer InterfaceYoung Adult

Identifiers

PMID32469875
PMCPMC7259654
OpenAlexW3031717840

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.