Factors to predict dropout at the universities: A case of study in Ecuador

Alban Mayra, David Mauricio

Research output: Contribution to conferencePaper

3 Scopus citations

Abstract

© 2018 IEEE. The dropout at the universities has become a concern in several countries around the world, its high rates generate negative consequences for students and organizations. Based on the analysis of the educative, organizational theories, and the logic reasoning were established 11 factors that influenced in the dropout. This research as an objective to design a model to determine new factors to predict the dropout in which the dimension of analysis were the students, the institutions, the academic context and the social and economic environment. Additionally, trying through the use of Logistical Regression, Decision Tree and Support Vector Machine if the proposed factors are related and or may contribute predicting the dropout at the universities of Ecuador.
Original languageAmerican English
Pages1238-1242
Number of pages5
DOIs
StatePublished - 23 May 2018
Externally publishedYes
EventIEEE Global Engineering Education Conference, EDUCON -
Duration: 23 May 2018 → …

Conference

ConferenceIEEE Global Engineering Education Conference, EDUCON
Period23/05/18 → …

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  • Cite this

    Mayra, A., & Mauricio, D. (2018). Factors to predict dropout at the universities: A case of study in Ecuador. 1238-1242. Paper presented at IEEE Global Engineering Education Conference, EDUCON, . https://doi.org/10.1109/EDUCON.2018.8363371