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[HTML][HTML] A systematic literature review of student'performance prediction using machine learning techniques
Educational Data Mining plays a critical role in advancing the learning environment by
contributing state-of-the-art methods, techniques, and applications. The recent development …
contributing state-of-the-art methods, techniques, and applications. The recent development …
[HTML][HTML] Predicting student performance using data mining and learning analytics techniques: A systematic literature review
Featured Application The herein survey is among the first research efforts to synthesize the
intelligent models and paradigms applied in education to predict the attainment of student …
intelligent models and paradigms applied in education to predict the attainment of student …
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 …
Utilising learning analytics to support study success in higher education: a systematic review
Study success includes the successful completion of a first degree in higher education to the
largest extent, and the successful completion of individual learning tasks to the smallest …
largest extent, and the successful completion of individual learning tasks to the smallest …
[HTML][HTML] A systematic review of the literature on machine learning application of determining the attributes influencing academic performance
Academic institutions operate in an extremely demanding and competitive environment.
Some difficulties confronting most schools are delivering high-quality education to the …
Some difficulties confronting most schools are delivering high-quality education to the …
Predicting academic performance: a systematic literature review
The ability to predict student performance in a course or program creates opportunities to
improve educational outcomes. With effective performance prediction approaches …
improve educational outcomes. With effective performance prediction approaches …
Classification technique and its combination with clustering and association rule mining in educational data mining—A survey
Educational data mining (EDM) is the application of data mining in the educational field.
EDM is used to classify, analyze, and predict the students' academic performance, and …
EDM is used to classify, analyze, and predict the students' academic performance, and …
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 …
Student performance analysis and prediction in classroom learning: A review of educational data mining studies
Student performance modelling is one of the challenging and popular research topics in
educational data mining (EDM). Multiple factors influence the performance in non-linear …
educational data mining (EDM). Multiple factors influence the performance in non-linear …