Educational Data Mining (EDM) is a promising area of research that leverages
computational methods to improve educational outcomes by extracting valuable insights …

Predicting students' academic performance and the factors that significantly influence it can
improve students' completion and graduation rates, as well as reduce attrition rates. In this …

This paper explores digital marginalization, data marginalization, and algorithmic exclusions
in the Souths. To this effect, it argues that underrepresented users and communities …

When the 21st century was ushered in, and in the period following its inception, there was a
lot of hype about how 21st-century skills, especially the 4Cs (critical thinking, collaboration …

The study aims to recognize how efficiently Educational Data Mining (EDM) integrates into
Artificial Intelligence (AI) to develop skills for predicting students' performance. The study …

Nurturing a positive state of mind and engaging employees is vital for organizations to
ensure, among others, employee retention and organizational performance. Drawing upon …

Learning analytics (LA) is a rapidly developing interdisciplinary research field. Main goals of
LA are to understand learners, understand and optimize learning and the environments in …

This study prominences on the usage of Educational Data Mining and Learning Analytics in
the field of education. Various methods and data mining tools are used to enhance the …