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초등 예비교사의 VR/AR 활용 과학 수업 계획 과정에서 나타나는 TPACK 특징 -인식적 네트워크 분석을 중심으로-

Characteristics of Pre-service Elementary Teachers' TPACK in Science Lesson Planning Using VR/AR Contents: Focusing on Epistemic Network Analysis

  • 투고 : 2023.04.03
  • 심사 : 2023.05.01
  • 발행 : 2023.06.30

초록

이 연구에서는 인식적 네트워크 분석(ENA)을 통해 초등 예비교사의 VR/AR 콘텐츠 활용 과학 수업 계획 과정에서 나타나는 TPACK의 특징을 알아보고자 했다. 연구자들은 기존의 TPACK 프레임워크에 기초하여 7개의 TPACK 코딩 요소를 귀납적으로 추출하였다. 그리고 초등 예비교사들이 과학 수업을 계획하며 나누는 담화를 TPACK 요소에 따라 코딩하고 이를 ENA Web Tool로 분석하였다. 두 모둠의 담화를 분석하고 비교하였는데 연구자들이 질적으로 분석한 두 모둠의 담화의 차이는 ENA 그래프를 통해 명확하게 드러났다. 이러한 연구 결과를 바탕으로 연구자들은 ENA 방법이 기존 TPACK 연구와 달리 테크놀로지 지식(TK), 내용 지식(CK), 교수 지식(PK)의 복합적 상호작용을 분석할 수 있는 유용한 연구 방법임을 주장하였다. 그리고 두 모둠의 담화에서 나타나는 특징을 통해 예비교사의 TPACK 역량 함양을 위한 시사점을 논의하였다.

This study investigated the characteristics of pre-service elementary teachers' TPACK in science lesson planning using VR/AR content based on epistemic network analysis (ENA). Seven TPACK coding elements were derived inductively based on the existing TPACK framework. Then, the pre-service elementary teachers' discourse in science lesson planning was coded according to the seven TPACK coding elements and analyzed using the ENA Web Tool. The discourses of the two groups were analyzed and compared, and the differences between the two groups, which the researchers analyzed qualitatively, were clearly shown on the ENA graph. Based on these findings, the researchers argued that the ENA method is a useful research tool for analyzing the complex interactions of technology knowledge (TK), content knowledge (CK), and pedagogical knowledge (PK), which is different from previous TPACK research. Also, the researchers discussed the implications for the TPACK competency development of pre-service teachers by comparing the characteristics of the two groups' discourse.

키워드

과제정보

이 논문은 2021년도 정부(교육부)의 재원으로 한국연구재단의 지원을 받아 수행된 기초연구사업임(NRF-2021R1I1A3040733).

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