온라인 학습환경에서 간호대학생의 자기주도학습능력 유형분류 및 영향요인 검증

Abstract

Objectives This study was conducted with the purpose of classifying the latent types of self-directed learning ability of nursing students in an online learning environment, and verifying the relationship between the teaching presence, academic achievement, academic resilience and perceived interaction that affect each type classification. Methods The potential profile of self-directed learning ability was analyzed using the data of 250 nursing students from one university located in J province in an online class environment. LPA, ANOVA, and multinomial logistic regression analysis were conducted to verify the difference between the latent profile and the variable and the factors affecting the effect. Results It was classified into 4 groups based on the estimated sub-factors of self-directed learning ability, and the results of verification of general characteristics and differences between variables according to latent profile types of self-directed learning ability, and latent profile types were class participation, major satisfaction , academic achievement, perception of real teaching, academic resilience, and perceived interaction were significantly different. In the ‘self-directed learning maintenance group’, the higher the grade, the higher the probability of being classified in this group by 2.3 times. Conclusions According to the result of analysis, it was suggested that it is necessary to consider academic achievement and academic resilience in order to improve the self-directed learning ability of nursing students, but also consider the learner's grade level and degree of participation.