Patterns to Identify Dropout University Students with Educational Data Mining

Patterns to Identify Dropout University Students with Educational Data Mining

This paper applies educational data mining algorithms to present an analysis of the most relevant characteristics of potential dropout students. The study used a dataset of 10,635 instances, acquired between 2014 and 2019 from 53 bachelor’s degree programs at a private university in the state of Pue...

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Xehetasun bibliografikoak
Egile Nagusiak:	Urbina-Nájera, Argelia Berenice, Téllez-Velázquez, Arturo, Cruz Barbosa, Raúl
Formatua:	Online
Hizkuntza:	spa
Argitaratua:	Universidad Autónoma de Baja California. Instituto de Investigación y Desarrollo Educativo 2021
Sarrera elektronikoa:	https://redie.uabc.mx/redie/article/view/3918
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

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