MIC MAC method applied to the identification of key variables for reducing student dropout, case of the Business Administration program – UNAD, Colombia

MIC MAC method applied to the identification of key variables for reducing student dropout, case of the Business Administration program – UNAD, Colombia

This article unveils key variables identified by MIC MAC method (Matrix of Crossed Impacts Multiplication Applied to Classification) related to student dropout from the business administration program of the National Open and Distance University-UNAD University (Colombia) in the academic years 2017...

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Bibliographic Details
Main Authors: María Erika Narváez-Ferrín, María Angélica Cervantes Muñoz
Format: Article
Language:English
Published: Universidad de Concepción 2020-12-01
Series:RAN
Subjects:
student dropout
student
retention
education prospects
Online Access:https://revistas.udec.cl/index.php/ran/article/view/3065

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