Identifying the top predictors of student well-being across cultures using machine learning and conventional statistics
Alongside academic learning, there is increasing recognition that educational systems must
also cater to students' well-being. This study examines the key factors that predict …
also cater to students' well-being. This study examines the key factors that predict …
[PDF][PDF] Examining the potential of machine learning for predicting academic achievement: A systematic review
Predicting student academic performance is a critical area of education research. Machine
learning (ML) algorithms have gained significant popularity in recent years. The capability to …
learning (ML) algorithms have gained significant popularity in recent years. The capability to …
Prediction of student's performance with learning coefficients using regression based machine learning models
Advanced machine learning (ML) methods can predict student's performance with key
features based on academic, behavioral, and demographic data. Significant works have …
features based on academic, behavioral, and demographic data. Significant works have …
Machine learning predicts upper secondary education dropout as early as the end of primary school
Education plays a pivotal role in alleviating poverty, driving economic growth, and
empowering individuals, thereby significantly influencing societal and personal …
empowering individuals, thereby significantly influencing societal and personal …
Predicting the impact of internet usage on students' academic performance using machine learning techniques in Bangladesh perspective
Education systems have significantly changed with the emergence of the internet. It has a
significant impact on how students learn things. Nevertheless, its impact can also be …
significant impact on how students learn things. Nevertheless, its impact can also be …
Predicting new student performances and identifying important attributes of admission data using machine learning techniques with hyperparameter tuning
Recently, many global universities have faced high student failure and early dropout rates
reflecting on the quality of education. To tackle this problem, forecasting student success as …
reflecting on the quality of education. To tackle this problem, forecasting student success as …
Predicting Computer Science Student's Performance using Logistic Regression
TMN Sagala, SD Permai, AAS Gunawan… - … on Research of …, 2022 - ieeexplore.ieee.org
The prediction of student academic performance has drawn noticeable attention in higher
education institutions. It may help educational institutions in providing quick assistance to …
education institutions. It may help educational institutions in providing quick assistance to …
Using machine learning to identify key subject categories predicting the pre-clerkship and clerkship performance: 8-year cohort study
SS Huang, YF Lin, AYQ Huang, JY Lin… - Journal of the …, 2024 - journals.lww.com
Background: Medical students need to build a solid foundation of knowledge to become
physicians. Clerkship is often considered the first transition point, and clerkship performance …
physicians. Clerkship is often considered the first transition point, and clerkship performance …
How the predictors of math achievement change over time: A longitudinal machine learning approach
Researchers have focused extensively on understanding the factors influencing students'
academic achievement over time. However, existing longitudinal studies have often …
academic achievement over time. However, existing longitudinal studies have often …
Impact of dimensionality reduction techniques on student performance prediction using machine learning
This study addresses the crucial issue of predicting student performance in educational data
mining (EDM) by proposing an Adaptive Dimensionality Reduction Algorithm (ADRA). ADRA …
mining (EDM) by proposing an Adaptive Dimensionality Reduction Algorithm (ADRA). ADRA …