Evidence map›Paper›PMID 33126882›Full record

ArticleBMC medical education2020

Relationship between metacognitive awareness and motivation to learn in medical students.

Marina Alves Martins Siqueira, Johnatan Padovez Gonçalves, Vitor Silva Mendonça, Renata Kobayasi, Fernanda Magalhães Arantes-Costa, Patricia Zen Tempski, Mílton de Arruda Martins

Open access · goldAbstract read
In one paragraph

Article in BMC medical education, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.0field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 82 citations in OpenAlex.

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  3. Leveraging generative AI to foster metacognition and self-directed learning.Journal of microbiology & biology education · 2026
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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

7 authors at 2 institutions in 2 countries.

Marina Alves Martins SiqueiraCenter of the Development of Medical Education (CEDEM), School of Medicine, University of Sao Paulo, Sao Paulo, SP, Brazil.
Johnatan Padovez GonçalvesCenter of the Development of Medical Education (CEDEM), School of Medicine, University of Sao Paulo, Sao Paulo, SP, Brazil.
Vitor Silva MendonçaCenter of the Development of Medical Education (CEDEM), School of Medicine, University of Sao Paulo, Sao Paulo, SP, Brazil.
Renata KobayasiCenter of the Development of Medical Education (CEDEM), School of Medicine, University of Sao Paulo, Sao Paulo, SP, Brazil.
Fernanda Magalhães Arantes-CostaCenter of the Development of Medical Education (CEDEM), School of Medicine, University of Sao Paulo, Sao Paulo, SP, Brazil.
Patricia Zen TempskiCenter of the Development of Medical Education (CEDEM), School of Medicine, University of Sao Paulo, Sao Paulo, SP, Brazil.
Mílton de Arruda MartinsUndergraduate Office of School of Medicine, University of Sao Paulo, Sao Paulo, SP, Brazil. mmartins@usp.br.ORCID http://orcid.org/0000-0001-9690-9371
Universidade de São Paulo · BRHarvard University · US

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico .
6 · The paper itself

Abstract

backgroundIn self-regulated learning, learning is defined as metacognitively guided, intrinsically motivated and strategic. In the context of medical education, the development of self-regulated learning can be associated with better academic and clinical performance. Hence, this report focuses on demonstrating the association between metacognitive awareness and motivation to learn among medical students in the clinical sciences portion of their education (3rd and 4th years of the medical programme) and characterizing medical students' motivational factors.

methodsWe performed a cross-sectional study with a qualitative and quantitative approach involving medical students from the University of Sao Paulo (USP) in Brazil. We have selected validated self-report questionnaires for the evaluation of metacognition (the Schraw and Dennison Metacognitive Awareness Inventory - MAI) and motivation to learn (the Baranik, Barron and Finney Achievement Goals for a Work Domain - AGWD). MAI has two domains: knowledge about cognition and regulation of cognition. AGWD divides achievement goals into mastery approach, mastery avoidance, performance approach and performance avoidance goal orientations. We also performed a qualitative analysis based on an open-ended question: "What motivates me the most in medical training?"

resultsOne hundred eighty-five students completed the questionnaires: 103 (55.67%) were men, 110 (59.45%) were in their fourth year of the medical programme, and 152 (82.16%) were up to 24 years old. Only the knowledge about cognition domain of MAI was significantly associated with motivation to learn. We found that higher scores on the knowledge about cognition domain of MAI was associated with the mastery approach goal orientation (p = 0.003, median 0.71, IQR 0.23) and that lower scores on this same domain was associated with a mastery avoidance goal orientation (p = 0.034, median 0.65, IQR 0.14). The open-ended question showed that altruism, personal satisfaction, financial feedback, personal and supportive networks and graduating were motivational factors.

conclusionsMetacognitive awareness and motivation to learn are closely related. This association may represent a potential target for the educational process, as deans and faculty can adopt strategies focused on promoting self-regulated learning concerning students' motivational factors. This could enhance academic outcomes and promote more enjoyable learning.

Indexed as

MetacognitionStudents, MedicalBrazilCross-Sectional StudiesFemaleGoalsHumansMaleMotivationSurveys and QuestionnairesLearningMedical educationMedical studentsMetacognitionMotivationSelf-regulation

Identifiers

PMID33126882
PMCPMC7602298
OpenAlexW3097462880

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.