Výsledky vyhledávání - "Leidy Daniela Forero Zea"

Proposal of Architecture And Application of Machine Learning (Ml) as A Strategy For The Reduction of University Desertion Levels Due to Academic Factors

Autor: José Ignacio Rodríguez Molano, Leidy Daniela Forero Zea, Yudy Fernanda Piñeros Reina

Publikováno v: Ingeniería Solidaria. 15:1-23

Introduction: Machine Learning arises as one of the techniques of artificial intelligence, with the development of computer programs that, through algorithms, access data and use them to learn and predict results. Their application in education allow

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::217f6cf8138ff5b6ab0f00073c809644
https://doi.org/10.16925/2357-6014.2019.03.06

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Machine Learning for the Identification of Students at Risk of Academic Desertion

Autor: Yudy Fernanda Piñeros Reina, Leidy Daniela Forero Zea, José Ignacio Rodríguez Molano

Publikováno v: Communications in Computer and Information Science ISBN: 9783030207977
LTEC

In Latin America, desertion rates in higher education range between 40% and 75%. There are many reasons for a student to deserted of their studies. However, the importance of identifying the level of risk related to such desertion is reflected in the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e04cff312cc6dd83af07c649f12fecba
https://doi.org/10.1007/978-3-030-20798-4_40

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