Recent advances in Predictive Learning Analytics: A decade systematic review (2012–2022)

N Sghir, A Adadi, M Lahmer - Education and information technologies, 2023 - Springer
The last few years have witnessed an upsurge in the number of studies using Machine and
Deep learning models to predict vital academic outcomes based on different kinds and …

A systematic review on machine learning models for online learning and examination systems

S Kaddoura, DE Popescu, JD Hemanth - PeerJ Computer Science, 2022 - peerj.com
Examinations or assessments play a vital role in every student's life; they determine their
future and career paths. The COVID pandemic has left adverse impacts in all areas …

You can handle, you can teach it: Systematic review on the use of extended reality and artificial intelligence technologies for online higher education

G Rangel-de Lazaro, JM Duart - Sustainability, 2023 - mdpi.com
Over the past year, defined by the COVID-19 pandemic, we have witnessed a boom in
applying key emerging technologies in education. In such challenging situations, technology …

Improving effectiveness of online learning for higher education students during the COVID-19 pandemic

X Li, Z Pei - Frontiers in psychology, 2023 - frontiersin.org
During the COVID-19 pandemic, online learning has become one of the important ways of
higher education because it is not confined by time and place. How to ensure the …

[HTML][HTML] Quantifying variability in predictions of student performance: Examining the impact of bootstrap resampling in data pipelines

R Bertolini, SJ Finch, RH Nehm - Computers and Education: Artificial …, 2022 - Elsevier
Educators seek to develop accurate and timely prediction models to forecast student
retention and attrition. Although prior studies have generated single point estimates to …

Optimization of Hyperparameters in Machine Learning for Enhancing Predictions of Student Academic Performance.

M Arifin, W Widowati, F Farikhin - Ingénierie des Systèmes d …, 2023 - search.ebscohost.com
The prediction of student academic performance with high accuracy is of paramount
importance in improving educational outcomes and developing tailored learning …

Students' complex trajectories: exploring degree change and time to degree

JP Pêgo, VL Miguéis, A Soeiro - International Journal of Educational …, 2024 - Springer
The complex trajectories of higher education students are deviations from the regular path
due to delays in completing a degree, dropping out, taking breaks, or changing …

Predicting student performance in online learning using a highly efficient gradient boosting decision tree

C Wang, L Chang, T Liu - International Conference on Intelligent …, 2022 - Springer
Online learning has become a popular way of learning due to the rapid development of
informatization of education, the rise of online learning platforms has provided great …

Prediction of persistent acute kidney injury in postoperative intensive care unit patients using integrated machine learning: a retrospective cohort study

X Jiang, Y Hu, S Guo, C Du, X Cheng - Scientific Reports, 2022 - nature.com
Acute kidney injury (AKI) often occurs in patients in the intensive care unit (ICU). AKI
duration is closely related to the prognosis of critically ill patients. Identifying the disease …

Radiomics nomogram for the prediction of Ki-67 index in advanced non-small cell lung cancer based on dual-phase enhanced computed tomography

H Sun, P Zhou, G Chen, Z Dai, P Song… - Journal of Cancer …, 2023 - Springer
Purpose To develop a radiomics nomogram based on dual-phase enhanced computed
tomography (CT) for predicting the Ki-67 index status in patients with advanced non-small …