Learning analytics and educational data mining in practice: A systematic literature review of empirical evidence
This paper aims to provide the reader with a comprehensive background for understanding
current knowledge on Learning Analytics (LA) and Educational Data Mining (EDM) and its …
current knowledge on Learning Analytics (LA) and Educational Data Mining (EDM) and its …
A systematic review on educational data mining
Presently, educational institutions compile and store huge volumes of data, such as student
enrolment and attendance records, as well as their examination results. Mining such data …
enrolment and attendance records, as well as their examination results. Mining such data …
Educational data mining: A survey and a data mining-based analysis of recent works
A Peña-Ayala - Expert systems with applications, 2014 - Elsevier
This review pursues a twofold goal, the first is to preserve and enhance the chronicles of
recent educational data mining (EDM) advances development; the second is to organize …
recent educational data mining (EDM) advances development; the second is to organize …
Using data mining techniques to predict student performance to support decision making in university admission systems
HA Mengash - Ieee Access, 2020 - ieeexplore.ieee.org
An admissions system based on valid and reliable admissions criteria is very important to
select candidates likely to perform well academically at institutions of higher education. This …
select candidates likely to perform well academically at institutions of higher education. This …
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 …
The efficacy of learning analytics interventions in higher education: A systematic review
Educational institutions are increasingly turning to learning analytics to identify and
intervene with students at risk of underperformance or discontinuation. However, the extent …
intervene with students at risk of underperformance or discontinuation. However, the extent …
Early segmentation of students according to their academic performance: A predictive modelling approach
The early classification of university students according to their potential academic
performance can be a useful strategy to mitigate failure, to promote the achievement of …
performance can be a useful strategy to mitigate failure, to promote the achievement of …
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 …
Develo** early warning systems to predict students' online learning performance
An early warning system can help to identify at-risk students, or predict student learning
performance by analyzing learning portfolios recorded in a learning management system …
performance by analyzing learning portfolios recorded in a learning management system …
Educational Data Mining: Identification of factors associated with school effectiveness in PISA assessment
With the main goal of identifying the process factors associated with school effectiveness in
secondary education, this work presents an innovative methodological proposal. Based on …
secondary education, this work presents an innovative methodological proposal. Based on …