Can score databanks help teaching?

Detalhes bibliográficos
Autor(a) principal: Mendonça, Vitor Rosa Ramos de
Data de Publicação: 2011
Outros Autores: Andrade, Bruno Bezerril, Almeida, Alessandro de Moura, Barral-Netto, Manoel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFBA
Texto Completo: http://www.repositorio.ufba.br/ri/handle/ri/5512
Resumo: 6 p.
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spelling Mendonça, Vitor Rosa Ramos deAndrade, Bruno BezerrilAlmeida, Alessandro de MouraBarral-Netto, ManoelMendonça, Vitor Rosa Ramos deAndrade, Bruno BezerrilAlmeida, Alessandro de MouraBarral-Netto, Manoel2012-03-06T18:13:50Z2012-03-06T18:13:50Z20111932-6203http://www.repositorio.ufba.br/ri/handle/ri/5512v. 6, n.1.6 p.Background: Basic courses in most medical schools assess students’ performance by conferring scores. The objective of this work is to use a large score databank for the early identification of students with low performance and to identify course trends based on the mean of students’ grades. Methodology/Principal Findings: We studied scores from 2,398 medical students registered in courses over a period of 10 years. Students in the first semester were grouped into those whose ratings remained in the lower quartile in two or more courses (low-performance) and students who had up to one course in the lower quartile (high-performance). ROC curves were built, aimed at the identification of a cut-off average score in the first semesters that would be able to predict low performances in future semesters. Moreover, to follow the long-term pattern of each course, the mean of all scores conferred in a semester was compared to the overall course mean obtained by averaging 10 years of data. Individuals in the low-performance group had a higher risk of being in the lower quartile of at least one course in the second semester (relative risk 3.907; 95% CI: 3.378–4.519) and in the eighth semester (relative risk 2.873; 95% CI: 2.495–3.308). The prediction analysis revealed that an average score of 7.188 in the first semester could identify students that presented scores below the lower quartiles in both the second and eighth semesters (p,0.0001 for both AUC). When scores conferred by single courses were compared over time, three time-trend patterns emerged: low variation, upward trend and erratic pattern. Conclusion/Significance: An early identification of students with low performance may be useful in promoting pedagogical strategies for these individuals. Evaluation of the time trend of scores conferred by courses may help departments monitoring changes in personnel and methodology that may affect a student’s performance.Submitted by Ana Valéria de Jesus Moura (anavaleria_131@hotmail.com) on 2012-03-06T18:13:50Z No. of bitstreams: 1 Can Score Databanks Help Teaching_.pdf: 404102 bytes, checksum: dfb4360d8a372880a9e34a48a66448cd (MD5)Made available in DSpace on 2012-03-06T18:13:50Z (GMT). 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dc.title.pt_BR.fl_str_mv Can score databanks help teaching?
dc.title.alternative.pt_BR.fl_str_mv PLoS ONE
title Can score databanks help teaching?
spellingShingle Can score databanks help teaching?
Mendonça, Vitor Rosa Ramos de
title_short Can score databanks help teaching?
title_full Can score databanks help teaching?
title_fullStr Can score databanks help teaching?
title_full_unstemmed Can score databanks help teaching?
title_sort Can score databanks help teaching?
author Mendonça, Vitor Rosa Ramos de
author_facet Mendonça, Vitor Rosa Ramos de
Andrade, Bruno Bezerril
Almeida, Alessandro de Moura
Barral-Netto, Manoel
author_role author
author2 Andrade, Bruno Bezerril
Almeida, Alessandro de Moura
Barral-Netto, Manoel
author2_role author
author
author
dc.contributor.author.fl_str_mv Mendonça, Vitor Rosa Ramos de
Andrade, Bruno Bezerril
Almeida, Alessandro de Moura
Barral-Netto, Manoel
Mendonça, Vitor Rosa Ramos de
Andrade, Bruno Bezerril
Almeida, Alessandro de Moura
Barral-Netto, Manoel
description 6 p.
publishDate 2011
dc.date.issued.fl_str_mv 2011
dc.date.accessioned.fl_str_mv 2012-03-06T18:13:50Z
dc.date.available.fl_str_mv 2012-03-06T18:13:50Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.repositorio.ufba.br/ri/handle/ri/5512
dc.identifier.issn.none.fl_str_mv 1932-6203
dc.identifier.number.pt_BR.fl_str_mv v. 6, n.1.
identifier_str_mv 1932-6203
v. 6, n.1.
url http://www.repositorio.ufba.br/ri/handle/ri/5512
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.pt_BR.fl_str_mv doi:10.1371/ journal.pone.0015695
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFBA
instname:Universidade Federal da Bahia (UFBA)
instacron:UFBA
instname_str Universidade Federal da Bahia (UFBA)
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