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초등예비교사의 과학적 추론 역량에 대한 잠재프로파일 분석

A Latent Profile Analysis of Pre-service Elementary Teachers' Scientific Reasoning Competence

  • Kim, Hansol (Korea National University of Education) ;
  • Yang, Ilho (Korea National University of Education)
  • 투고 : 2025.05.24
  • 심사 : 2025.07.03
  • 발행 : 2025.07.31

초록

이 연구는 초등예비교사들의 과학적 추론 역량을 조사하여 분석하는데 목적을 두고 있다. 연구 대상은 중부권 소재 초등교사 양성 대학교에서 초등과학교육론을 수강하고 있는 116명이다. Krell 등(2018)이 개발한 과학적 추론 역량 검사 도구를 번역하여 측정 도구로 사용하였고, 잠재프로파일분석을 통해 역량 유형을 탐색하였다. 연구 결과 초등예비교사는 '고역량 집단'(잠재집단 1, n = 65)과 '저역량 집단'(잠재집단 2, n = 51) 두 유형으로 구분되었다. 다변량 분산분석 결과, 조사 계획하기 기술과 모델 목적 판단하기, 모델 검증하기, 모델 변화시키기 기술에서 집단 간 유의하고 큰 효과 크기가 확인되었으며(η2=.371-.586), 가설 생성과 자료 해석 기술에서는 차이가 나타나지 않았다. 이러한 결과는 예비교사 내부의 이질적 역량 패턴과 모델링 기반 추론 기술의 취약성을 시사하고 있다.

This study investigated and analyzed the scientific reasoning competencies of 116 prospective elementary teachers enrolled in an elementary science education course at a teacher education university in central Korea. The scientific reasoning competency test developed by Krell et al. (2018) was translated and used as the measurement tool, and latent profile analysis was conducted to identify competency types. The analysis revealed two distinct groups: a "high competency group" (n = 65) and a "low competency group" (n = 51). Multivariate analysis of variance found statistically significant large effect sizes (η2 = .371-.586) between the groups in the skills of planning investigations, evaluating the purposes of models, validating models, and revising models, but no significant differences in hypothesis generation or data interpretation skills. These findings suggest the presence of heterogeneous patterns of reasoning competencies among prospective teachers and highlight weaknesses in modeling-based reasoning skills.

키워드

참고문헌

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