Attention Fragmentation in Digital Learning Environments: Micro-Procrastination, Cognitive Load, and Deep Work Across Educational Levels

Maintaining sustained attention has become increasingly challenging in digitally saturated learning environments, where frequent notifications and habitual task switching are normalized. Although digital distraction has been widely examined, limited research has focused on digital micro-procrastination—brief, repetitive digital interruptions—and its cognitive consequences across educational levels. This study examined the relationships among Digital Micro-Procrastination (DMP), Perceived Cognitive Load (PCL), and Deep Work (DW) among junior high school, senior high school, and college students. Using a quantitative descriptive-comparative design, survey data were collected from 45 students equally distributed across three academic levels. All measures demonstrated acceptable internal consistency following reliability refinement. Data were analyzed using descriptive statistics, Spearman’s rank-order correlation, and Kruskal–Wallis tests. Results revealed a significant positive association between digital micro-procrastination and perceived cognitive load, indicating that frequent short digital interruptions are linked to heightened mental strain and attention fragmentation. Significant cross-level differences were observed, with college students reporting the highest levels of digital micro-procrastination and cognitive load. Findings related to deep work suggest a more nuanced relationship, wherein sustained focus may coexist with elevated cognitive effort rather than reduced task demands. Overall, the study underscores the cognitive implications of everyday digital practices and highlights the need for instructional and self-regulatory strategies that mitigate attention fragmentation in contemporary educational contexts.