Ensemble learning techniques have achieved state-of-the-art performance in diverse
machine learning applications by combining the predictions from two or more base models …

In this paper, I argue that the fields of artificial intelligence (AI) and education have been
deeply intertwined since the early days of AI. Specifically, I show that many of the early …

Credit cards play an essential role in today's digital economy, and their usage has recently
grown tremendously, accompanied by a corresponding increase in credit card fraud …

Although artificial intelligence (AI) methods hold promise for medical imaging-based
prediction tasks, their integration into medical practice may present a double-edged sword …

ABSTRACT When the Learning Sciences emerged in 1991, there was an ethos of studying
learning in humans and machines in conjunction with one another. This ethos reflected …

In response to increasing urbanization and the need for infrastructure resilient to natural
hazards, this study introduces an AI-driven predictive model designed to assess the risk of …

This AERA Open special topic concerns the large emerging research area of education data
science (EDS). In a narrow sense, EDS applies statistics and computational techniques to …

In the 30th anniversary of the International Artificial Intelligence in Education Society, there is
a need to look back to the past to envision the community's future. This paper presents a …

Objective The causes of the long-term persistence of symptoms after a severe acute
respiratory syndrome coronavirus 2 infection (ie, post-COVID syndrome) remain elusive …

The interdisciplinary field of learning analytics has quickly grown into a global community of
researchers, practitioners, and educators. The community has used journals, conferences …