As a cutting-edge field of artificial intelligence in education (AIEd) that depends on advanced
computing technologies, AI performance prediction model is widely used to identify at-risk …

Predicting university student graduation is a beneficial tool for both students and institutions.
With the help of this predictive capacity, students may make well-informed decisions about …

This research work evaluates the use of artificial intelligence and its impact on student's
academic performance at the University of Guayaquil (UG). The objective was to design and …

Help-seeking is a valuable practice in online discussion forums. However, the
asynchronicity and information overload of online discussion forums have made it …

Millions of learners worldwide are now using intelligent tutoring systems (ITSs). At their core,
ITSs rely on machine learning algorithms to track each user's changing performance level …

Cyber-physical systems (CPS) have been growing exponentially due to improved
clouddatacenter infrastructure-as-a-service (CDIaaS). Incremental expandability …

A cost-effective solution with less human involvement must be developed for medical waste
(MW) transportation. A learning-based coordinated unmanned aerial vehicle–unmanned …

This study proposes a push notification system that combines digital real-time learning, roll-
call, and feedback collection functions. With the gradually flourishing online real-time …

Improving the performance of predicting student performance by transfer learning has
become a new research focus in the field of education data mining. However, most works …

Temporal information plays an important role in student performance prediction, so two
interpretable feature factors, namely enthusiasm and stability, are extracted from online and …