Evidence map›Paper›PMID 37220147›Full record

ArticlePloS one2023

Self-efficacy and resilience as predictors of students' academic motivation in online education.

Parisa Abdolrezapour, Sahar Jahanbakhsh Ganjeh, Nasim Ghanbari

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
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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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

3 authors.

Parisa AbdolrezapourDepartment of English, Salman Farsi University of Kazerun, Kazerun, Iran.ORCID 0000-0002-1008-5218
Sahar Jahanbakhsh GanjehDepartment of Psychology, Yasouj University, Yasouj, Iran.
Nasim GhanbariDepartment of English Language and Literature, Faculty of Humanities, Persian Gulf University, Bushehr, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation as a catalyst for human conduct has been associated with lots of variables. However, self-efficacy and resilience as two important components of the individuals' psychological capital have not received enough scientific attention. This gets more significance considering the global COVID-19 pandemic with noticeable psychological consequences for the learners receiving online education. Hence, the current study proceeded to investigate the relationship between students' self-efficacy, resilience, and academic motivation in online education. To this aim, a convenience sample of 120 university students coming from two state universities in south of Iran participated in an online survey. The questionnaires used in the survey included the self-efficacy questionnaire, resilience questionnaire, and academic motivation questionnaire. Pearson correlation and multiple regression statistical methods were applied to analyze the obtained data. The results pointed to a positive relationship between self-efficacy and academic motivation. In addition, those with a higher degree of resilience were found to experience higher academic motivation. Moreover, the results of multiple regression test revealed that self-efficacy and resilience can significantly predict the academic motivation of the students involved in an online mode of education. The research proposes a number of recommendations for developing the learners' level of self-efficacy and resilience through enacting various pedagogical interventions. In this way, a heightened level of academic motivation would enhance EFL learners' learning rate.

Indexed as

COVID-19Education, DistanceHumansMotivationPandemicsSelf EfficacyStudents

Identifiers

PMID37220147
PMCPMC10204980

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.