Data clustering involves identifying latent similarities within a dataset and organizing them
into clusters or groups. The outcomes of various clustering algorithms differ as they are …

Computer programming has attracted a lot of attention in the development of information and
communication technologies in the real world. Meeting the growing demand for highly …

Educational Data Mining (EDM) is the application of data mining methods in the educational
domain. In the EDM field, we see mixed data (ie, text and number data types). Grou** or …

Featured Application This work has an important direct application for teachers or
educational institutions working with Moodle, because it provides an open access software …

Predicting university student graduation is a beneficial tool for both students and institutions.
With the help of this predictive capacity, students may make well-informed decisions about …

In the field of Astrostatistics, clustering and classification of different astronomical objects
play a very important role. In cluster analysis, the objective is to group the items such that …

In cyber security education, hands-on training is a common type of exercise to help raise
awareness and competence, and improve students' cybersecurity skills. To be able to …

Purpose This paper aims to investigate the relationship between the students' digital
activities and their academic performance through two stages. In the first stage, students' …

Modelling students' learning behavior has proven to be a fundamental indicator of their
success or failure in online courses. However, many studies ignore properly considering …

Internet of Things (IoT) networks' wide range and heterogeneity make them prone to
cyberattacks. Most IoT devices have limited resource capabilities (eg, memory capacity …