Educational data mining: An application of regressors in predicting school dropout

RLS do Nascimento, RB das Neves Junior… - Machine Learning and …, 2018 - Springer
School dropout is one of the great challenges for the educational system. Educational data
mining seeks to study and contribute with results that aim to hidden problems and find …

Systematic Review and Analysis of EDM for Predicting the Academic Performance of Students

SM Dol, PM Jawandhiya - Journal of The Institution of Engineers (India) …, 2024 - Springer
In education sector, two main tasks are—Analysis of students' data and predicting their
performance as it may leads to their great future. Analyzing the data obtained from …

Statistical learning for predicting school dropout in elementary education: A comparative study

RLS do Nascimento, RAA Fagundes… - Annals of Data …, 2022 - Springer
School dropout is a significant challenge for the education system. This phenomenon is
present in different environments, modalities, and stages of education. In the Brazilian …

Improving the Automatic Detection of Dropout Risk in Middle and High School Students: A Comparative Study of Feature Selection Techniques

D Zapata-Medina, A Espinosa-Bedoya… - Mathematics, 2024 - mdpi.com
The dropout rate in underdeveloped and emerging countries is a pressing social issue, as
highlighted by studies conducted by The Organization for Economic Co-operation and …

AN EARLY WARNING SYSTEM FOR SCHOOL DROPOUT IN THE STATE OF ESPÍRITO SANTO: A MACHINE LEARNING APPROACH WITH VARIABLE SELECTION …

GAA Pereira, KD Demura, IC Nunes, KC Paula… - Pesquisa …, 2024 - SciELO Brasil
School dropout has significant consequences for individuals and society, including
increased crime, reduced productivity, and limited economic innovation. Identifying students …

Factores personales que influyen en el abandono escolar en universitarios

AB Varela, JC Zavala, PG Morales… - PsicoEducativa …, 2020 - psicoeducativa.edusol.info
El objetivo de la presente investigación fue identificar y conocer los principales factores
asociados a la deserción escolar en el nivel superior. Recolectando información de autores …

Método para la detección de estudiantes en riesgo de deserción, basado en un diseño de métricas y una técnica de minería de datos

D Zapata Medina - 2021 - repositorio.unal.edu.co
La deserción escolar es una problemática social de alto impacto para el sistema educativo,
dificultando la movilidad social y la construcción de la equidad en un país. En la última …

Data Mining in Global Higher Education: Opportunities and Challenges for Learning

EG Mense, PA Lemoine… - Utilizing Educational Data …, 2020 - igi-global.com
Historically, educators in higher education have searched for reliable means and methods to
increase student learning. Many techniques and strategies have been used and even some …

Predição de evasão de cursos técnicos em EaD através de técnicas de aprendizado de máquina em duas etapas

MM Tamada - 2022 - tede.ufam.edu.br
RESUMO A Mineração de Dados Educacionais integra inúmeras técnicas que dão suporte
a processamento e análises de dados gerados e coletados nos Ambientes Virtuais de …

Comportamento de estudantes evadidos de cursos técnicos: Um estudo utilizando técnicas de mineração de dados

RG Cordeiro, M de Sá Mussa… - Educação Profissional e …, 2019 - ojs.ifes.edu.br
Dada a problemática da evasão e a quantidade de dados armazenados pelas instituições
de ensino, através da utilização da mineração de dados torna se possível extrair …