An explainable machine learning approach for student dropout prediction-Reference-Cited by-同舟云学术

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An explainable machine learning approach for student dropout prediction

Published:2023-12 Issue: Volume:233 Page:120933
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Krüger João Gabriel Corrêa^ORCID,Britto Alceu de Souza^ORCID,Barddal Jean Paul^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference24 articles.

1. School dropout in Central America: An overview of trends, causes, consequences, and promising interventions;Adelman,2016

2. Pattern recognition and machine learning;Anzai,2012

3. Random forests;Breiman;Machine Learning,2001

4. XGBoost: A scalable tree boosting system;Chen,2016

5. Ethical guidelines on the use of artificial intelligence (AI) and data in teaching and learning for educators;Commission,2022

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Graph neural network based intelligent tutoring system: A survey;Neurocomputing;2024-12

2. Enhancing high-school dropout identification: a collaborative approach integrating human and machine insights;Discover Education;2024-07-23

3. A Model for Predicting Dropout of Higher Education Students;Data Science and Management;2024-07

4. Detection of Wildlife Species in the Peruvian Amazon using Transfer Learning;Computación y Sistemas;2024-06-29

5. Machine learning predicts upper secondary education dropout as early as the end of primary school;Scientific Reports;2024-06-05

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