Recent advancements in the collection and analysis of sequential educational data have
brought time series analysis to a pivotal position in educational research, highlighting its …

Several studies have shown that complex nonlinear learning analytics (LA) techniques
outperform the traditional ones. However, the actual integration of these techniques in …

In the current situation the need for e–learning grown larger in both education and training
industry. The scope of e-learning paves way to adapt Learning Management System (LMS) …

The use of a learning management system (LMS) is one of the media that can be used to
disseminate lecturer materials to students. Materials that can be uploaded on the LMS can …

Data Mining techniques have become widely used for several types of tasks, such as data
classification. Data classification aims to classify data into set of classes based on trained …

The Vocational Education and Training (VET) curriculum aims to provide students with the
necessary skills to make them employable and successful in their specialties. Therefore, an …

With the increasing adoption of Learning Management Systems (LMS) in colleges and
universities, research in exploring the interaction data captured by these systems is …

In this paper, we present the importance of data pre-processing in predicting students'
success. We implemented Principal Component Analysis for dimensionality reduction to …

One approach to handling large of data dimensions is feature selection. Effective feature
selection techniques produce the essential features and can improve classification …

This study presents six machine learning models in the prediction of student success in a
technology-mediated environment. Student behavioral attributes with a learning …