• 제목/요약/키워드: 초록

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Analysis of the Abstract Structure in Scientific Papers by Gifted Students and Exploring the Possibilities of Artificial Intelligence Applied to the Educational Setting (과학 영재의 논문 초록 구조 분석 및 이에 대한 인공지능의 활용 가능성 탐색)

  • Bongwoo Lee;Hunkoog Jho
    • Journal of The Korean Association For Science Education
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    • v.43 no.6
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    • pp.573-582
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    • 2023
  • This study aimed to explore the potential use of artificial intelligence in science education for gifted students by analyzing the structure of abstracts written by students at a gifted science academy and comparing the performance of various elements extracted using AI. The study involved an analysis of 263 graduation theses from S Science High School over five years (2017-2021), focusing on the frequency and types of background, objectives, methods, results, and discussions included in their abstracts. This was followed by an evaluation of their accuracy using AI classification methods with fine-tuning and prompts. The results revealed that the frequency of elements in the abstracts written by gifted students followed the order of objectives, methods, results, background, and discussions. However, only 57.4% of the abstracts contained all the essential elements, such as objectives, methods, and results. Among these elements, fine-tuned AI classification showed the highest accuracy, with background, objectives, and results demonstrating relatively high performance, while methods and discussions were often inaccurately classified. These findings suggest the need for a more effective use of AI, through providing a better distribution of elements or appropriate datasets for training. Educational implications of these findings were also discussed.

A Bibliometric Analysis Study of Korean Journals Covered by International Abstract and Index Databases (국제 색인.초록 데이터베이스에 등재된 한국학술지의 계량학적 분석: 1990년-1997년)

  • 박소희;이춘실
    • Proceedings of the Korean Society for Information Management Conference
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    • 1998.08a
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    • pp.101-104
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    • 1998
  • 한국학술지의 국제 색인ㆍ초록 데이터베이스 등재 여부를 추적하는 것은 한국학술지의 국제적인 위상을 파악하는데 중요하며, 학술지의 구체적인 평가자료로서도 중요한 역할을 할 것이다. 본 연구에서는 세계최대의 데이터뱅크중 하나인 DIALOG 데이터베이스에 등재되는 한국학술지와 그 학술지들이 등재되는 데이터베이스에 대해 계량학적 측정을 통하여 그 특성을 분석·규명하였다.

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