With the development of artificial intelligence, personalized learning has attracted much
attention as an integral part of intelligent education. China, the United States, the European …

Statement of problem The students' academic performance is influenced by a complex
interplay among several factors. Traditional educational approaches often struggle to …

Automated prediction of students' retention and graduation in education using advanced
analytical methods such as artificial intelligence (AI), has recently attracted the attention of …

With technological advances, institutional stakeholders are considering evidence-based
developments such as Curriculum Analytics (CA) to reflect on curriculum and its impact on …

Education is at the core of developmental progress, necessitating the exploration and
implementation of diverse contemporary methods to ensure the success of students across …

Educational data mining is valuable for uncovering latent relationships in educational
settings, particularly for predicting students' academic performance. This study introduces an …

Adoption of deep learning classification algorithms in the domain area of higher education
provides exploratory predictive data analytics able to exploit students' academic behavior …

To address the challenges of monitoring and analyzing blended learning behaviors, a BP-
Bagging ensemble classification model to discriminate students' blended learning behaviors …

Choosing courses at the beginning of each semester is a complex decision that affects
students' future careers and academic performance, especially when given the freedom to …

The primary aim of higher education institutions is the successful graduation of their
students. This study explores open-access higher education in Morocco, introducing a …