Evidence map›Paper›PMID 37007731›Full record

ArticleHumanities & social sciences communications2023

The impact of the first wave of COVID-19 on students' attainment, analysed by IRT modelling method.

Rita Takács, Szabolcs Takács, Judit T Kárász, Attila Oláh, Zoltán Horváth

Open access · goldFull text read
In one paragraph

Article in Humanities & social sciences communications, 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
3.3field-weighted citation impact, top 7% 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

1 citing paper in PubMed, 12 citations in OpenAlex.

  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

5 authors at 2 institutions in 1 country.

Rita TakácsFaculty of Informatics, ELTE Eötvös Loránd University, Budapest, Hungary.ORCID 0000-0002-0314-4179
Szabolcs TakácsDepartment of General Psychology and Methodology, Institute of Psychology, Budapest, Hungary.ORCID 0000-0002-9128-9019
Judit T KárászDoctoral School of Education, ELTE Eötvös Loránd University, Budapest, Hungary.ORCID 0000-0002-6198-482X
Attila OláhDoctoral School of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.
Zoltán HorváthFaculty of Informatics, ELTE Eötvös Loránd University, Budapest, Hungary.
Eötvös Loránd University · HUKároli Gáspár University of the Reformed Church in Hungary · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Universities around the world were closed for several months to slow down the spread of the COVID-19 pandemic. During this crisis, a tremendous amount of effort was made to use online education to support the teaching and learning process. The COVID-19 pandemic gave us a profound insight into how online education can radically affect students and how students adapt to new challenges. The question is how switching to online education affected dropout? This study shows the results of a research project clarifying the impact of the transition to online courses on dropouts. The data analysed are from a large public university in Europe where online education was introduced in March 2020. This study compares the academic progress of students newly enroled in 2018 and 2019 using IRT modelling. The results show that (1) this period did not contribute significantly to the increase in dropout, and we managed to retain our students.(2) Subjects became more achievable during online education, and students with less ability were also able to pass their exams. (3) Students who participated in online education reported lower average grade points than those who participated in on-campus education. Consequently, on-campus students could win better scholarships because of better grades than students who participated in online education. Analysing students' results could help (1) resolve management issues regarding scholarship problems and (2) administrators develop programmes to increase retention in online education.

Indexed as

EducationPsychology

Identifiers

PMID37007731
PMCPMC10039444
OpenAlexW4360948459

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read7
table measurements read4
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.