Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020

F Ouyang, L Zheng, P Jiao - Education and Information Technologies, 2022 - Springer
As online learning has been widely adopted in higher education in recent years, artificial
intelligence (AI) has brought new ways for improving instruction and learning in online …

Student retention using educational data mining and predictive analytics: a systematic literature review

DA Shafiq, M Marjani, RAA Habeeb… - IEEE Access, 2022 - ieeexplore.ieee.org
Student retention is an essential measurement metric in education, indicated by retention
rates, which are accumulated as students re-enroll from one academic year to the next. High …

Educational data mining to predict students' academic performance: A survey study

S Batool, J Rashid, MW Nisar, J Kim, HY Kwon… - Education and …, 2023 - Springer
Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …

Assessment and evaluation of different machine learning algorithms for predicting student performance

YA Alsariera, Y Baashar, G Alkawsi… - Computational …, 2022 - Wiley Online Library
Student performance is crucial to the success of tertiary institutions. Especially, academic
achievement is one of the metrics used in rating top‐quality universities. Despite the large …

Prediction of academic performance associated with internet usage behaviors using machine learning algorithms

X Xu, J Wang, H Peng, R Wu - Computers in Human Behavior, 2019 - Elsevier
College students are facilitated with increasingly convenient access to the Internet, which
has a civilizing influence on students' learning and living. This study attempts to reveal the …

Artificial intelligence applications in Latin American higher education: a systematic review

SZ Salas-Pilco, Y Yang - … Journal of Educational Technology in Higher …, 2022 - Springer
Over the last decade, there has been great research interest in the application of artificial
intelligence (AI) in various fields, such as medicine, finance, and law. Recently, there has …

Systematic ensemble model selection approach for educational data mining

MN Injadat, A Moubayed, AB Nassif, A Shami - Knowledge-Based Systems, 2020 - Elsevier
A plethora of research has been done in the past focusing on predicting student's
performance in order to support their development. Many institutions are focused on …

How does learning analytics contribute to prevent students' dropout in higher education: A systematic literature review

CF de Oliveira, SR Sobral, MJ Ferreira… - Big Data and Cognitive …, 2021 - mdpi.com
Retention and dropout of higher education students is a subject that must be analysed
carefully. Learning analytics can be used to help prevent failure cases. The purpose of this …

Contrastive learning for knowledge tracing

W Lee, J Chun, Y Lee, K Park, S Park - Proceedings of the ACM web …, 2022 - dl.acm.org
Knowledge tracing is the task of understanding student's knowledge acquisition processes
by estimating whether to solve the next question correctly or not. Most deep learning-based …

Early predicting of students performance in higher education

E Alhazmi, A Sheneamer - Ieee Access, 2023 - ieeexplore.ieee.org
Students learning performance is one of the core components for assessing any educational
systems. Students performance is very crucial in tackling issues of learning process and one …