Overview: Artificial Intelligence is revolutionizing modern education by making learning smarter, more personalized, and ...

Abstract: In this paper, we address the important problem of student academic performance prediction, with an emphasis on improving the learning process for lowering failure rates. This research has ...

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...

Background: The purpose of this study is to use a variety of machine learning (ML) algorithms to build a risk prediction model for nursing students’ social anxiety, select the optimal model, and ...

Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been thought to forebode earthquakes are not supported by empirical evidence. As ...

Machine learning has advanced significantly in recent years and is being used in higher education to perform various types of data analysis. While the literature demonstrates the application of ...

Students who are curious, organized, and outgoing may be more likely to incorporate generative artificial intelligence tools into their learning, according to new research published in Scientific ...

A Texas A&M University-Corpus Christi student is using AI to predict flooding on Oso Creek. The machine learning model uses precipitation, tidal and water level data. The National Weather Service ...

1 Computer Science and Engineering, World University of Bangladesh, Dhaka, Bangladesh. 2 Business Analytics, International American University, California, USA. 3 ...

A recent study published in npj Materials Degradation introduces a two-stage machine learning (ML) framework that predicts the degradation of protective coatings under various environmental conditions ...