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dc.contributor.authorMonteverde-Suárez, Diego
dc.contributor.authorGonzález-Flores, Patricia
dc.contributor.authorSantos-Solórzano, Roberto
dc.contributor.authorGarcía-Minjares, Manuel
dc.contributor.authorZavala-Sierra, Irma
dc.contributor.authorSánchez-Mendiola, Melchor
dc.contributor.authorLuna de la Luz, Verónica
dc.date.accessioned2022-03-04T20:51:58Z
dc.date.available2022-03-04T20:51:58Z
dc.date.issued2022
dc.identifier.citationMonteverde-Suárez, D., González-Flores, P., Santos-Solórzano, R., García-Minjares, M., Zavala-Sierra, I., Sánchez-Mendiola, M., Luna de la Luz, V. (2022). Dataset containing raw anonymized data of students in an undergraduate medical program in Mexico from the 2011 to 2017 cohorts (dataset). Repositorio de Innovación Educativa.en_US
dc.identifier.urihttp://132.248.161.133:8080/jspui/handle/123456789/5524
dc.descriptionThis data set consists of two Excel spreadsheets in .xlsx format, the first containing the data catalog and the second the raw data of 7976 anonymous students from 2011 to 2017. cohorts of the undergraduate program in medicine, collected upon their enrollment through a survey and diagnostic test, as well as students’ records. The dataset comprises 47 categorical, discrete numerical or continuous numerical variables that were classified into nine groups: students’ demographics, family environment, socio-economic status, prior educational trajectory, students’ initial knowledge in eight subjects, including proficiency in Spanish and English, academic achievement in the first year and students’ identifier. This data set was used to perform the analyzes corresponding to the manuscript Predicting academic achievement and analyzing related attributes in first-year medical students: A comparison with artificial neural networks and Naïve Bayes.en_US
dc.language.isoenen_US
dc.publisherCoordinación de Universidad Abierta, Innovación Educativa y Educación a Distanciaen_US
dc.subjectstudent academic progressen_US
dc.subjectartificial neural networksen_US
dc.subjectNaïve Bayesen_US
dc.subjecteducational data miningen_US
dc.subjectmedical educationen_US
dc.subjectprediction
dc.titleDataset containing raw anonymized data of students in an undergraduate medical program in Mexico from the 2011 to 2017 cohorts.en_US
dc.typedataseten_US
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Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
Data_catalogue.xlsx91.78 kBMicrosoft Excel XMLVisualizar/Abrir
Dataset_medicine_students.xlsx1.59 MBMicrosoft Excel XMLVisualizar/Abrir
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