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This study examines the impact of Supplemental Instruction and Science of Learning interventions on digital learning behaviors and academic performance in a community college Anatomy course. Analyzing semester-long Learning Management System data from 192 students, we investigated digital engagement patterns, predictive relationships between behaviors and performance, and the mediating role of digital behaviors in intervention effectiveness. Results revealed significant differences in engagement patterns among intervention groups, with interventions increasing active learning and Self-Quizzing over time. Digital behaviors, particularly Self-Quizzing, significantly predicted academic performance and mediated intervention effects. These findings show how digital self-regulated learning behaviors change due to interventions and how those changes affect academic performance.
Sirui Ren, University of North Carolina - Chapel Hill
Matthew L. Bernacki, University of North Carolina - Chapel Hill
Leiming Ding, University of North Carolina - Chapel Hill
Jeff A. Greene, University of North Carolina - Chapel Hill
Erin Windsor, College of Southern Nevada
Jonathan C. Hilpert, University of Nevada - Las Vegas