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The influence of different curriculum designs on students’ dropout rate

A case study

Bibliographic Data

ID15329007
AuthorsJohn Vergel (0000-0002-8855-0327, ,, corresponding author), Gustavo A Quintero (0000-0003-0193-0069, ,), Andrés Isaza-Restrepo (0000-0002-1569-969X, ,), Martha Ortiz-Fonseca (0000-0002-7394-4948, ,), Catalina Latorre-Santos (0000-0003-0623-7343, ,), Juan Mauricio Pardo Oviedo (0000-0003-0084-3449, ,)
Year2018
Volume23
Issue1
Pages1432963-1432963
Publication date2018-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueMedical Education Online (JOURNAL)
Journal identifiersISSN: 1087-2981 • E-ISSN: 1087-2981
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/10872981.2018.1432963
PMID29392996
OpenAlexW2794033775
LanguageEN
Citations received6
References cited17

The relationship between students' withdrawal and educational variables has generated a considerable number of publications. As the explosion of information in sciences and integration theories led to creating different curriculum designs, it has been assumed that differences among designs explain academic success and, therefore, students' retention. However, little attention has been given to examine explicitly how diverse designs influence dropout rates in practice, which questions if decisions to reform curricula are sufficiently informed. This article describes our curriculum reform, which exposes our former and current curriculum designs as having had dissimilar dropout percentages. Furthermore, we aimed to explore the influence of different curriculum designs on students' dropout rates. The conclusion is that dropout variations may be explained not only because of the curriculum design itself, but also because of the power relationship changes between teachers and students that brought out the design change. Consequently, more research is needed to fully understand the political implications of different curriculum designs and their influence on dropout rates

Curriculum · Dropout (neural networks · Mathematics education · Medical education · Pedagogy · Computer Science · Innovative Teaching Methods · Medical Education and Admissions · Medicine · Psychology · Teaching and Learning Programming

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Unique citing works6
Citations per year0,75
Citation span2018 - 2026 (9)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 6

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