대학생의 자기조절학습 잠재프로파일 분석: 그릿(Grit)의 예측력을 중심으로

다국어 초록 (Multilingual Abstract)

This study aimed to explore whether there existed unobserved, qualitatively different profiles in self-regulated learning among university students. We also investigated how grit’s factors (i.e. consistency of interest and perseverance of effort) predicted the membership of self-regulated learning profiles. Observed indicators of self-regulated learning were assessed by intrinsic value, self-efficacy, cognitive regulation, effort regulation, and perceived instrumentality. A total of 429 students who enrolled in four-year universities located in Seoul and Jeolla-do area responded grit and self-regulated learning survey and a Latent Profile Analysis (LPA) was employed to analyze data. Results showed that a four-class model fit data best, revealing high, middle-high, middle-low, and low profiles in terms of self-regulated learning components. In a conditional model, as grit’s score increased, the probability of being in relatively higher groups of self-regulated learning increased. Moreover, consistency of interest significantly predicted whether a student belongs to high vs. other groups of self-regulated learning while perseverance of effort predicted whether he/she belongs to middle-high vs. middle-low group in addition to high vs. other groups. This means that the predictability of perseverance of effort in self-regulated learning is higher than that of consistency of effort, supporting prior research.