Educational Data Mining plays a critical role in advancing the learning environment by
contributing state-of-the-art methods, techniques, and applications. The recent development …

A significant body of recent research in the field of Learning Analytics has focused on
leveraging machine learning approaches for predicting at-risk students in order to initiate …

Educational Data Mining (EDM) involves the extraction of concepts and similar useful
information from data sets that store information about academic work. EDM incorporates a …

Detecting at-risk students provides advanced benefits for improving student retention rates,
effective enrollment management, alumni engagement, targeted marketing improvement …

Purpose Graduates are expected to possess the knowledge and right skillset, commonly
known as graduate attributes, which they need to become employable and work-ready. This …

Students are a gold asset for each country. Proper guidance/recommendation to the
students regarding their education-related issues can ultimately result in uplifting the …

Education is essential for achieving many Sustainable Development Goals (SDGs).
Therefore, the education system focuses on empowering more educated people and …

A significant body of recent research in the field of Learning Analytics has focused on
leveraging machine learning approaches for predicting at-risk students in order to initiate …

Recommender System that is based on a multi-label classification approach to recommend
remedial actions to address student performance shortcomings in Learning Outcome …

In this paper we design a hierarchical, interactive visualization to simplify the assessment of
BSc program quality. The idea is based on extracting features from direct assessment data …