Student performance predictive analysis has played a vital role in education in recent years.
It allows for the understanding students' learning behaviours, the identification of at-risk …

While procrastination has been found as a crucial indicator that negatively affects
performance, no research has investigated using a learning management system (LMS) to …

Academic delay can be understood as individuals' behavioral postponement of their work in
academic settings. The purpose of this study was to examine the relations between …

This study analyzed students' online assignment submission behaviors from the
perspectives of temporal learning analytics. This study aimed to model the time-dependent …

While modelling students' learning behavior or preferences has been found as a crucial
indicator for their course achievement, very few studies have considered it in predicting …

Teaching quality refers to the level of teaching practices, delivery, content and methods and
it is often viewed subjectively by various stakeholders in education, including students. The …

Predicting academic procrastination among college students in the context of a public crisis
could provide essential academic support and decision-making strategies for higher …

Procrastination has been increasing since the proliferation of online learning. While
traditionally assessed with self-report instruments, online learning offers the possibility to …

Predicting students' performance is one of the most important issues in educational data
mining. In this study, a method for representing students' partial sequence of learning …

Artificial intelligence (AI) has demonstrated significant potential in addressing educational
challenges in digital learning. Despite this potential, there are still concerns about the …