Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …

Chronic diseases are increasing in prevalence and mortality worldwide. Early diagnosis has
therefore become an important research area to enhance patient survival rates. Several …

With the immersion of a plethora of technological tools in the early post-COVID-19 era in
university education, instructors around the world have been at the forefront of implementing …

The student academic performance prediction is becoming an indispensable service in the
computer supported intelligent education system. But conventional machine learning-based …

We, the Editor, Institution and Publisher of the journal IETE Journal of Research, have
retracted the following article, which is part of the Special Issue titled “Federated Learning for …

Educators' loss of ability to read students' comprehension level during the class through
quick questions or nonverbal communication is one of the main challenges of online and …

Tomato plants' disease detection and classification at the earliest stage can save the farmers
from expensive crop sprays and can assist in increasing the food quantity. Although …

Predicting student performance in a curriculum or program offers the prospect of improving
academic outcomes. By using effective performance prediction methods, instructional …

Demographic features are commonly used in Educational Data Mining (EDM) research to
predict at-risk students. Yet, the practice of using demographic features has to be considered …

This study focused on predicting at-risk groups of students at the Open University (OU), a UK
university that offers distance-learning courses and adult education. The research was …