Evidence map›Paper›PMID 37441382›Full record

ArticleHeliyon2023

Identification and comparison of the main variables affecting early university dropout rates according to knowledge area and institution.

Alba Llauró, David Fonseca, Susana Romero, Marian Aláez, Jorge Torres Lucas, María Martínez Felipe

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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

6 authors.

Alba LlauróTechnology Enhanced Learning Research Line of Human Environment Research Group (HER-TEL), La Salle, Ramon Llull University, Barcelona, Spain.
David FonsecaTechnology Enhanced Learning Research Line of Human Environment Research Group (HER-TEL), La Salle, Ramon Llull University, Barcelona, Spain.
Susana RomeroUnidad de Innovación Docente, Deusto University, Bilbao, Spain.
Marian AláezUnidad de Innovación Docente, Deusto University, Bilbao, Spain.
Jorge Torres LucasGrupo de Investigación: Innovación Educativa para Una Formación Integral en Diferentes Etapas y Contextos. Departamento de Educación y Métodos de Investigación y Evaluación Universidad Pontificia Comillas, Madrid, Spain.
María Martínez FelipeGrupo de Investigación: Innovación Educativa para Una Formación Integral en Diferentes Etapas y Contextos. Departamento de Educación y Métodos de Investigación y Evaluación Universidad Pontificia Comillas, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dropout rate in universities is a widely studied issue that concerns both universities and public organizations. Most studies focus on quantifying the phenomenon and identifying the variables involved. This paper uses a multidisciplinary approach to parameterize the factors that define the entry profile of undergraduates at the national level in Spain in collaboration with three universities in different regions and with different disciplines. The aim is to reduce the dropout rate in the first year of study towards a degree. The research questions focus on the weighting of personal variables about students by tutors and whether there are differences in the weighting systems for the main variables as differentiated by discipline, university and/or region. The document is organized to describe the method and context of the study, present the main results, show the application of the survey instrument in a case study, and provide conclusions. The method is based on the two fundamental factors, including the influence of certain student characteristics at matriculation and the importance of a positive experience in the first year of the degree. The study is focused on two elements that inspire the current proposal: the need to identify and rapidly detect students who, due to their entry characteristics, are at a greater risk of dropout and the importance of guaranteeing a good start in the first year of the degree. The study uses a multidisciplinary approach and combines qualitative and quantitative methods to gather data. The study also uses a survey instrument that measures the risk of student dropout based on the weighting of personal variables by tutors. The results of the study have allowed us to categorize the main variables of the student profile that affect the risk of dropout and establish them as aspects to be monitored by the tutors in the first weeks. Furthermore, it has been shown that although there are no significant differences in the averages of dropout risk calculated with either global or specific weighting systems (by centre or studies), there is a tendency observed by the tutors that the weighted averages generated by disciplinary focus are closer to identifying the student's real risk of dropping out.

Indexed as

Academic analyticsEarly dropoutFirst-year studentsLearning analyticsPredictionsTutoring

Identifiers

PMID37441382
PMCPMC10333612

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.