Restrictions on physical gathering due to COVID-19 has compelled higher education
institutions to rapidly embrace digital technologies to support teaching and learning. While …

The topic of predictive algorithms is often regarded among the most relevant fields of study
within the data analytics discipline. They have applications in multiple contexts, education …

Prediction models that underlie “early warning systems” need improvement. Some predict
outcomes using entrenched, unchangeable characteristics (eg, socioeconomic status) and …

Algorithms and programming are some of the most challenging topics faced by students
during undergraduate programs. Dropout and failure rates in courses involving such topics …

Higher education students who either do not complete the courses they have enrolled on or
interrupt their studies indefinitely remain a major concern for practitioners and researchers …

Student persistence and retention in STEM disciplines is an important yet complex and multi-
dimensional issue confronting universities. Considering the rapid evolution of online …

This study aims at predicting undergraduate students' performance in the Virtual Learning
Environment (VLE) based on four time periods of the examined online course. This is to …

The use of learning management systems (LMSs) for learning and knowledge sharing has
accelerated quickly both in education and corporate worlds. Despite the benefits brought by …

Predictive models on students' academic performance can be built by using historical data
for modelling students' learning behaviour. Such models can be employed in educational …

Aim/Purpose: This research aims to present a brand-new approach for student performance
prediction using the Learning Fuzzy Cognitive Map (LFCM) approach. Background …