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Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020
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 …
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
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 …
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
Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …
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
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 …
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 …
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
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 …
intelligence (AI) in various fields, such as medicine, finance, and law. Recently, there has …
Systematic ensemble model selection approach for educational data mining
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 …
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
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 …
carefully. Learning analytics can be used to help prevent failure cases. The purpose of this …
Contrastive learning for knowledge tracing
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 …
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 …
systems. Students performance is very crucial in tackling issues of learning process and one …