ChatGPT를 활용한 하브루타학습에서 나타난 중등 물리영재의 질문 수준과 유형 분석 = Analysis of Question Levels and Types of Secondary Physics Gifted Students in Havruta Learning Using ChatGPT

다국어 초록 (Multilingual Abstract)

This study examined the level and type of questions produced by secondary physics gifted students in Havruta learning using ChatGPT. A two-way analysis framework based on the level and type of question was performed on 762 questions with ChatGPT written by 12 middle school gifted students of the Physics convergence track of the Science Gifted Education Center affiliated with J University. For 762 questions, 283 were at the lowest level, 319 at the low level, 121 at the middle level, and 39 at the high level. The types of questions were 283 information types, 373 understanding types, and 106 integrated types. Two-way analysis results showed that according to the level and type of question, the minimum level of factual questions was 279, accounting for 36.6% of the total questions, followed by the low level of causal questions with 259, showing 34.0%. 40 medium-level strategies (5.2%), 29 high level extensions (3.8%), 29 mid-level causal, 25 mid-level analogies (3.3%), 23 mid-level evaluations (3.0%), 18 low level analogies (2.4%), and 10 high level strategies (1.3%) were found to be biased toward specific levels and types.