Abstract
Self-regulation and learning are fundamentally dynamic phenomena that occur at the within-person level and unfold over time. However, the majority of the extant empirical research on self-regulated learning has been conducted at the between-person level, which can obscure the true nature of interrelationships among self-regulatory mechanisms. In the present study, we seek to advance a more nuanced view of the role of self-regulation in modern training and development by presenting a novel theoretical perspective that integrates cognitive, motivational, and behavioral mechanisms central to the literature on active learning with the more dynamic theoretical principles and mechanisms underlying stage-based cognitive models of skill acquisition. Hypotheses derived from this model were tested in a laboratory study with 305 participants who practiced a dynamic computer game involving strong cognitive and perceptual-motor demands. Bivariate cross-lagged latent growth models generally supported the proposed model, revealing systematic trends over the course of practice consistent with a series of iterative, bidirectional, and self-correcting reciprocal interrelationships among self-efficacy, metacognition, exploratory behavior, and practice performance. Collectively, these findings suggest that strong positive interrelationships among self-regulated learning variables at the between-person level may, in some cases, actually belie the true nature of their functional effects. Implications for theory and practice are discussed.
Get full access to this article
View all access options for this article.
