Can GPA be predicted using a combination of screen time, sleep hours, and perceived impact? - 1, #1

Adolescents today inhabit an environment saturated with digital technology, where screens mediate communication, entertainment, learning, and even rest. As smartphones, laptops, tablets, and gaming systems have become ubiquitous, researchers and educators have increasingly sought to understand how these devices shape cognitive, behavioral, and academic outcomes. Among the most frequently discussed concerns are screen time, sleep duration, and students' own perceptions of how their digital habits influence their daily functioning. Although each of these variables has been studied independently, fewer investigations have examined their combined and interacting effects on academic performance. This study addresses that gap by analyzing how screen time, sleep duration, and perceived screen‑time impact jointly predict high school students' grade point averages (GPA), using a multivariate regression model constructed from self‑reported data provided by 50 participants.