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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 …
Systematic literature review on machine learning and student performance prediction: Critical gaps and possible remedies
Improving the quality, develo** and implementing systems that can provide advantages to
students, and predicting students' success during the term, at the end of the term, or in the …
students, and predicting students' success during the term, at the end of the term, or in the …
Using machine learning to predict factors affecting academic performance: the case of college students on academic probation
This study aims to employ the supervised machine learning algorithms to examine factors
that negatively impacted academic performance among college students on probation …
that negatively impacted academic performance among college students on probation …
Identifying the Factors Affecting Student Academic Performance and Engagement Prediction in MOOC using Deep Learning: A Systematic Literature Review
The increasing reliance on Massive Open Online Courses (MOOCs) has transformed the
landscape of education, particularly during the COVID-19 pandemic, where e-learning …
landscape of education, particularly during the COVID-19 pandemic, where e-learning …
Prediction of student exam performance using data mining classification algorithms
Student outcomes are of great importance in higher education institutions. Accreditation
bodies focus on them as an indicator to measure the performance and effectiveness of the …
bodies focus on them as an indicator to measure the performance and effectiveness of the …
[HTML][HTML] AI-Enhanced Decision-Making for Course Modality Preferences in Higher Engineering Education during the Post-COVID-19 Era
The onset of the COVID-19 pandemic has compelled a swift transformation in higher-
education methodologies, particularly in the domain of course modality. This study highlights …
education methodologies, particularly in the domain of course modality. This study highlights …
AI-Driven Educational Transformation in Secondary Schools: Leveraging Data Insights for Inclusive Learning Environments
In recent years, in the field of education, there has been a progressive trend towards
teaching that is more personalised to students' characteristics and some models of …
teaching that is more personalised to students' characteristics and some models of …
Optimal machine learning models for kitsune to detect mirai botnet malware attack
The network intrusion detection system (NIDS) is the key player to detect and mitigate Botnet
Malware attacks. A plug-and-play NIDS, Kitsune, was proposed in the literature in 2018 as …
Malware attacks. A plug-and-play NIDS, Kitsune, was proposed in the literature in 2018 as …
Optimizing adult learner success: Applying random forest classifier in higher education predictive analytics
This study examines the application of the Random Forest Classifier (RF) model in
predicting academic success among adult learners in higher education. It focuses on …
predicting academic success among adult learners in higher education. It focuses on …
[PDF][PDF] Investigating the Performance of Feature Selection Methods in Classifying Student Success
The present study investigates the optimization of machine learning algorithms, specifically
the Naïve Bayes classifier, in the context of Educational Data Mining (EDM). The primary …
the Naïve Bayes classifier, in the context of Educational Data Mining (EDM). The primary …