텍스트 마이닝을 활용한 AI 디지털교과서 키워드 분석

• 영문명: Analysis of AI Digital Textbook Keywords Using Text Mining
• 발행기관: 한국IT서비스학회
• 저자명: 민준홍(Junhong Min) 김미량(Mi Ryang Kim)
• 간행물 정보: 『한국IT서비스학회지』제23권 제5호, 87~105쪽, 전체 19쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2024.10.31

국문 초록

This study aims to explore the potential issues and challenges associated with the development, introduction, utilization, and stabilization of AI digital textbook, as well as to identify tasks necessary to address these challenges. We collected and analyzed data from domestic news articles and previous research literature related to “AI digital textbook” to derive key keywords using a comprehensive text analysis approach with Bigkinds and Textom. Through Bigkinds, we conducted keyword trend analysis, associated word analysis, and relationship analysis. Using Textom, we performed keyword frequency analysis, N-gram analysis, TF-IDF(Term Frequency-Inverse Document Frequency) analysis, and network analysis. This approach allowed us to identify the main issues related to the development, implementation, utilization of AI digital textbook and explore the necessary tasks to address these challenges.

목차

1. 서론

2. 이론적 배경

3. 연구 방법

4. 연구 결과

5. 결론

참고문헌

키워드

AI Digital Textbook Digital-Based Educational Innovation Text Mining Bigkinds Textom