Abandono y permanencia estudiantil en universidades de Latinoamérica y el Caribe: Una revisión sistemática mixta

N Chiarino, C Rodríguez Enríquez, K Curione… - Actualidades …, 2024 - scielo.sa.cr
La educación superior es un derecho humano clave para el desarrollo de las personas y las
sociedades. América Latina y el Caribe presentan tasas de abandono superiores a otras …

Applications of Artificial Intelligence for Non–Psychomotor Skills Training in Health Professions Education: A Scoping Review

KA Costa-Dookhan, Z Adirim, M Maslej… - Academic …, 2024 - journals.lww.com
Purpose This study explores uses of artificial intelligence (AI) in health professions
education for non–psychomotor skills training at undergraduate, postgraduate, and …

[HTML][HTML] Factors and conditions that affect the goodness of machine learning models for predicting the success of learning

L Bognár, T Fauszt - Computers and Education: Artificial Intelligence, 2022 - Elsevier
The process for building effective machine learning models that predict the learning success
of university students, the competences of the actors involved in model building, and the …

[HTML][HTML] A Novel Predictive Modeling for Student Attrition Utilizing Machine Learning and Sustainable Big Data Analytics

CL Kok, CK Ho, L Chen, YY Koh, B Tian - Applied Sciences, 2024 - mdpi.com
Student attrition poses significant societal and economic challenges, leading to
unemployment, lower earnings, and other adverse outcomes for individuals and …

MOOC performance prediction and analysis via Bayesian network and Maslow's hierarchical needs theory

L Zhu, J Hao, J Gan - Interactive Learning Environments, 2024 - Taylor & Francis
ABSTRACT Nowadays, Massive Open Online Courses (MOOC) has been gradually
accepted by the public as a new type of education and teaching method. However, due to …

[HTML][HTML] Deep Learning for Predicting Attrition Rate in Open and Distance Learning (ODL) Institutions

JN Ndunagu, DO Oyewola, FS Garki, JC Onyeakazi… - Computers, 2024 - mdpi.com
Student enrollment is a vital aspect of educational institutions, encompassing active,
registered and graduate students. All the same, some students fail to engage with their …

[PDF][PDF] A prediction model based machine learning algorithms with feature selection approaches over imbalanced dataset

AK Hamoud, MBM Kamel, AS Gaafar… - Indonesian Journal …, 2022 - pdfs.semanticscholar.org
The educational sector faced many types of research in predicting student performance
based on supervised and unsupervised machine learning algorithms. Most students' …

Early prediction models and crucial factor extraction for first-year undergraduate student dropouts

TT Huynh-Cam, LS Chen, TC Lu - Journal of Applied Research in …, 2024 - emerald.com
Purpose This study aimed to use enrollment information including demographic, family
background and financial status, which can be gathered before the first semester starts, to …

Twelve tips for Natural Language Processing in medical education program evaluation

KA Costa-Dookhan, MM Maslej, K Donner… - Medical …, 2024 - Taylor & Francis
With the increasing application of Natural Language Processing (NLP) in Medicine at large,
medical educators are urged to gain an understanding and implement NLP techniques …

Predicting graduation in Moroccan open-access bachelors: early indicators and re-enrollment data

K Oqaidi, S Aouhassi, K Mansouri - Bulletin of Electrical Engineering and …, 2025 - beei.org
The primary aim of higher education institutions is the successful graduation of their
students. This study explores open-access higher education in Morocco, introducing a …