Education is a vital part of the development of society and it is changing over time in terms of
methods, content, concepts, and models. Recently, it has been increasingly prevalent to …

Background Providing adaptive scaffolds to help learners develop effective self‐regulated
learning (SRL) behaviours has been an important goal for intelligent learning environments …

Predicting the evolution of multiphysics battery systems face severe challenges, including
various aging mechanisms, cell-to-cell variation and dynamic operating conditions. Despite …

With the prevalence of generative AI tools like ChatGPT, automated detectors of AI-
generated texts have been increasingly used in education to detect the misuse of these tools …

Abstract Machine learning analysis of social media data represents a promising way to
capture longitudinal environmental influences contributing to individual risk for suicidal …

Large swaths of data are readily available in various fields, and education is no exception. In
tandem, the impetus to derive meaningful insights from data gains urgency. Recent …

Predictive analytics in higher education has become increasingly popular in recent years
with the growing availability of educational big data. Particularly, a wealth of student activity …

Automated techniques for Arabic content recognition are at a beginning period contrasted
with their partners for the Latin and Chinese contents recognition. There is a bulk of …

In this paper, we propose a generalized wrapper-based feature selection, called GeFeS,
which is based on a parallel new intelligent genetic algorithm (GA). The proposed GeFeS …

Aim Allograft rejection is a serious concern in heart transplant medicine. Though
endomyocardial biopsy with histological grading is the diagnostic standard for rejection …