Abstract: This study explores the use of machine learning and computer vision technology to monitor student engagement in a classroom setting. The study aims to address the challenges faced by ...

Abstract: Inefficiencies, cumbersome processes, and a significant risk of errors, delays, and misuse often plague conventional methods for tracking student attendance. To address these challenges, ...

The Faculty Senate debated the role of generative artificial intelligence (AI) in education, attempting to strike a balance between encouraging independent critical thinking and acknowledging the ...