Decreasing Digital Distraction in College Students: Associated Online Learning Strategies Identified by Unsupervised Data Mining Approaches

A research study utilizing unsupervised data mining techniques identified effective online learning strategies that correlate with reduced digital distraction among college students. The findings indicate that self-regulated learning strategies, including goal setting, environment structuring, and time management, are most consistently associated with lower levels of digital distraction. Additionally, engagement strategies with instructors and content also play a role.

Addressing digital distraction is crucial for optimizing learning outcomes in increasingly digitized educational and professional settings. Understanding and implementing effective self-regulated learning and engagement strategies can enhance productivity and knowledge acquisition across various domains.

Digital tools in education contribute to digital distractions, impacting academic performance, particularly in online learning environments.

Forward consideration, not a verified fact.