Research on the relationship between the digital traces of students in Learning
Management Systems (LMS) and their academic performance has traditionally been an …

Blended learning (BL) is a popular e‐Learning model in higher education that has the
potential to take advantage of learning analytics (LA) to support student learning. This study …

Learning outcomes can be predicted with machine learning algorithms that assess students'
online behavior data. However, there have been few generalized predictive models for a …

The COVID-19 pandemic has forced many college students in developing countries to
engage in online learning for the first time, and the sudden transit has raised concerns …

Specialized services and management must understand students' behavioral patterns in a
timely and accurate manner. Based on these patterns, we can make targeted rules …

In this paper, we experimented on developing prediction models for student performance in
early stages of blended learning courses using deep neural network (NN) architecture and …

The mining of educational data develops models and methods to explore the data collected
from the educational learning environments through learning analytics in order to detect …

In recent years, the field of learning analytics has gained significant attention as educators
and researchers seek to understand and optimize the learning process in online learning …

This study investigated the influence of blended vs. conventional writing environments and
L2 proficiency on cognitive, somatic, and behavioral components of L2 English writing …

The use of data mining techniques to answer important educational questions is done with
educational data mining that may be related to predicting students' performance or …