Predicting academic performance of students from VLE big data using deep learning models
The abundance of accessible educational data, supported by the technology-enhanced
learning platforms, provides opportunities to mine learning behavior of students, addressing …
learning platforms, provides opportunities to mine learning behavior of students, addressing …
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 …
The datafication of education
The increasing datafication, in particular the availability of data and corresponding
algorithms introduces new means to measure, capture, describe and represent social life in …
algorithms introduces new means to measure, capture, describe and represent social life in …
Prediction of students' early dropout based on their interaction logs in online learning environment
AA Mubarak, H Cao, W Zhang - Interactive Learning Environments, 2022 - Taylor & Francis
Online learning has become more popular in higher education since it adds convenience
and flexibility to students' schedule. But, it has faced difficulties in the retention of the …
and flexibility to students' schedule. But, it has faced difficulties in the retention of the …
Prediction of student academic performance using a hybrid 2D CNN model
Opportunities to apply data mining techniques to analyze educational data and improve
learning are increasing. A multitude of data are being produced by institutional technology, e …
learning are increasing. A multitude of data are being produced by institutional technology, e …
Utilizing grid search cross-validation with adaptive boosting for augmenting performance of machine learning models
Abstract Corona Virus Disease 2019 (COVID-19) pandemic has increased the importance of
Virtual Learning Environments (VLEs) instigating students to study from their homes. Every …
Virtual Learning Environments (VLEs) instigating students to study from their homes. Every …
Predicting at-risk university students based on their e-book reading behaviours by using machine learning classifiers
Providing early predictions of academic performance is necessary for identifying at-risk
students and subsequently providing them with timely intervention for critical factors affecting …
students and subsequently providing them with timely intervention for critical factors affecting …
Open learning analytics: a systematic review of benchmark studies using open university learning analytics dataset (OULAD)
HA Alhakbani, FM Alnassar - Proceedings of the 2022 7th International …, 2022 - dl.acm.org
Virtual learning has gained increased importance because of the recent pandemic situation.
A mass shift to virtual means of education delivery has been observed over the past couple …
A mass shift to virtual means of education delivery has been observed over the past couple …
The potential for student performance prediction in small cohorts with minimal available attributes
The measurement of student performance during their progress through university study
provides academic leadership with critical information on each student's likelihood of …
provides academic leadership with critical information on each student's likelihood of …
Predictive model using a machine learning approach for enhancing the retention rate of students at-risk
HS Brdesee, W Alsaggaf, N Aljohani… - International Journal on …, 2022 - igi-global.com
Student retention is a widely recognized challenge in the educational community to assist
the institutes in the formation of appropriate and effective pedagogical interventions. This …
the institutes in the formation of appropriate and effective pedagogical interventions. This …