Intelligent decision support systems in construction engineering: An artificial intelligence and machine learning approaches
A Waqar - Expert Systems with Applications, 2024 - Elsevier
Abstract Intelligent Decision Support Systems (DSS) have gained considerable interest
within the field of construction engineering through the utilization of Artificial Intelligence (AI) …
within the field of construction engineering through the utilization of Artificial Intelligence (AI) …
Predicting Student-Teachers Dropout Risk and Early Identification: A Four-Step Logistic Regression Approach
HP Singh, HN Alhulail - IEEE Access, 2022 - ieeexplore.ieee.org
Student-teachers' dropout is a complicated and serious issue in the learning process, with its
attendant negative implications on students, academic institutions, economic resources, and …
attendant negative implications on students, academic institutions, economic resources, and …
Exploring statistical approaches for predicting student dropout in education: A systematic review and meta-analysis
Student dropout is non-attendance from school or college for an extended period for no
apparent cause. Tending to this issue necessitates a careful comprehension of the basic …
apparent cause. Tending to this issue necessitates a careful comprehension of the basic …
Machine learning prediction of university student dropout: Does preference play a key role?
University dropout rates are a problem that presents many negative consequences. It is an
academic issue and carries an unfavorable economic impact. In recent years, significant …
academic issue and carries an unfavorable economic impact. In recent years, significant …
Student dropout prediction for university with high precision and recall
Featured Application Application to student counseling and reducing the dropout rate in
universities. Abstract Since a high dropout rate for university students is a significant risk to …
universities. Abstract Since a high dropout rate for university students is a significant risk to …
Predicting and mitigating freshmen student attrition: A local-explainable machine learning framework
With the emergence of novel methods for improving machine learning (ML) transparency,
traditional decision-support-focused information systems seem to need an upgrade in their …
traditional decision-support-focused information systems seem to need an upgrade in their …
Multi-class phased prediction of academic performance and dropout in higher education
MV Martins, L Baptista, J Machado, V Realinho - Applied Sciences, 2023 - mdpi.com
The application of intelligent systems in the higher education sector is an active field of
research, powered by the abundance of available data and by the urgency to define …
research, powered by the abundance of available data and by the urgency to define …
Early dropout predictors in social sciences and management degree students
JM Ortiz-Lozano, P Aparicio-Chueca… - Studies in Higher …, 2024 - Taylor & Francis
Student dropout is a major concern in studies investigating retention strategies in higher
education. This study identifies which variables are important to predict student dropout …
education. This study identifies which variables are important to predict student dropout …
Forecasting Students Dropout: A UTAD University Study
In Portugal, the dropout rate of university courses is around 29%. Understanding the
reasons behind such a high desertion rate can drastically improve the success of students …
reasons behind such a high desertion rate can drastically improve the success of students …
Model for the Prediction of Dropout in Higher Education in Peru applying Machine Learning Algorithms: Random Forest, Decision Tree, Neural Network and Support …
O Jiménez, A Jesús, L Wong - 2023 33rd Conference of Open …, 2023 - ieeexplore.ieee.org
University dropout is a problem that not only affects students, but also families, universities,
society, and others. This problem has a global character, so it is common to identify it in …
society, and others. This problem has a global character, so it is common to identify it in …