잠재프로파일을 적용한 직업계고 학생들의 진로개발역량과 자기주도학습역량에 대한 잠재집단분류 및 영향요인 검증

Abstract

The purpose of the study is to estimate the latent classes of vocational high school career development competencies and self-directed learning also, individual and school factors determining these latent profiles. To this end, we used data from the "2022 Career Education Status Survey" of 1,363 students, including (804 male and 559 female students). Based on the latent profile modeling analysis, we identified three distinct latent classes of students' career development competencies and self-directed learning. These classes were named ‘low-level group,’ ‘intermediate-level group,’ and ‘high-level group.’ Second, multinominal logistic regression analysis revealed that gender, career activity participation satisfaction, need for career information, conversation with parents, career information awareness, desired career preparation and learning motivation were significant predictors of the latent profiles at the individual-level. Also, perception of the principal's perception of career education support, career teacher's job performance, and the number of career experience operations were derived as predictive factors that distinguish the potential class was significant predictors of the latent profiles at the school-level. Implications of this study and suggestions for follow-up research were discussed.