IoT System for School Dropout Prediction Using Machine Learning Techniques Based on Socioeconomic Data

IoT System for School Dropout Prediction Using Machine Learning Techniques Based on Socioeconomic Data

School dropout permeates various teaching modalities and has generated social, economic, political, and academic damage to those involved in the educational process. Evasion data in higher education courses show the pessimistic scenario of fragility that configures education, mainly in underdevelope...

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Bibliographic Details
Main Authors: Francisco A. da S. Freitas, Francisco F. X. Vasconcelos, Solon A. Peixoto, Mohammad Mehedi Hassan, M. Ali Akber Dewan, Victor Hugo C. de Albuquerque, Pedro P. Rebouças Filho
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Electronics
Subjects:
IoT
school dropout
machine learning
Online Access:https://www.mdpi.com/2079-9292/9/10/1613

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