This paper proposes an ensemble algorithm named of BPSO-Adaboost-KNN to cope with
multi-class imbalanced data classification. The main idea of this algorithm is to integrate …

An enduring issue in higher education is student retention to successful graduation. National
statistics indicate that most higher education institutions have four-year degree completion …

The benefits of collaborative learning, although widely reported, lack the quantitative rigor
and detailed insight into the dynamics of interactions within the group, while individual …

The insecurity of the Internet-of-Things (IoT) paradigm continues to wreak havoc in
consumer and critical infrastructures. The highly heterogeneous nature of IoT devices and …

Educational data mining constitutes a recent research field which gained popularity over the
last decade because of its ability to monitor students' academic performance and predict …

In higher educational institutes, many students have to struggle hard to complete different
courses since there is no dedicated support offered to students who need special attention …

Bayesian Knowledge Tracing (BKT) is a commonly used approach for student modeling,
and Long Short Term Memory (LSTM) is a versatile model that can be applied to a wide …

A meta-synthesis study was conducted of 60 research studies on educational data mining
(EDM) and their impacts on and outcomes for improving learning outcomes. After an …

Various forms of Peer-Learning Environments are increasingly being used in post-
secondary education, often to help build repositories of student generated learning objects …

In order to help undergraduate students towards successfully completing their degrees,
developing tools that can assist students during the course selection process is a significant …