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Effects of the Havruta learning method using ChatGPT on pre-service early childhood teachers' AI and creative teaching efficacy
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  • Effects of the Havruta learning method using ChatGPT on pre-service early childhood teachers' AI and creative teaching efficacy
  • Effects of the Havruta learning method using ChatGPT on pre-service early childhood teachers' AI and creative teaching efficacy
저자명
Junho Ryu, Heayoun Cho
간행물명
Asia-Pacific journal of research in early childhood educationKCI,SCOPUS
권/호정보
2024년|18권 3호(통권47호)|pp.87-103 (17 pages)
발행정보
환태평양유아교육연구학회|한국
파일정보
정기간행물|KOR|
PDF텍스트(0.31MB)
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유아교육학
서지반출

영문초록

This study aimed to examine the effectiveness of the Havruta learning method using ChatGPT to improve the teaching efficacy of pre-service early childhood teachers. The effects of the Havruta teaching method in classes using ChatGPT on improving teaching efficacy were analyzed in a group of pre-service early childhood teachers to explore the direction of teaching and learning to improve the future educational capabilities required of prospective teachers. The participants were sophomores enrolled in a “Curriculum for Early Childhood Education” course at a university in Korea (Gyeonggi Province). During the 15-week of early childhood curriculum classes course, Havruta classes using ChatGPT were conducted for 12 weeks, excluding midterm and final exams. A paired-sample t-test was performed to verify the effectiveness of enhancing pre-service early childhood teachers’ teaching efficacy. The analysis showed that the Havruta learning method using ChatGPT positively affected both AI teaching efficacy and creative teaching efficacy for pre-service early childhood teachers. The findings verify that Havruta classes using ChatGPT are meaningful teaching and learning methods for pre-service early childhood teachers as future educators.

목차

Introduction
Method
Results
Discussion

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