서지분석을 이용한 AI 리터러시, 디지털 리터러시, 데이터 리터러시, 지식정보처리역량의 연구 동향 및관계 분석
Analyzing Research Trends and Relationships in AI Literacy, Digital Literacy, Data Literacy, and Knowledge Information Processing Competency through Bibliometric Analysis
- 발행
- 2024 등록KCI API에는 발행일 항목이 없어 원문 등록일을 쓰고 있습니다. 실측으로 발행보다 최대 6년 늦습니다 — 재수집하면 발행연월로 바뀝니다.
- 소속·발행
- Seoul National University
- 출처
- 국내 KCI
- 원문
- 원문 보기 ↗
개념
키워드
AI Literacy, digital literacy, data literacy, knowledge information processing competency, bibliometric analysis, AI Literacy, digital literacy, data literacy, knowledge information processing competency, bibliometric analysis
초록
This study explores research trends related to artificial intelligence and digital technologyby focusing on four key terms: literacy, artificial intelligence literacy, digital literacy, andknowledge information processing competency. Using the RISS database, we collectedpapers published over the last 20 years until September 2023 and conducted a quantitativebibliometric analysis. Semantic network analysis was applied to understand therelationships, trends, and characteristics of these concepts.
 The findings show that digital literacy, data literacy, AI literacy, and knowledge informationprocessing competency all aim to foster creative thinking and are primarily taught at thebasic education level, especially for elementary school students, often in convergenceeducation formats. Digital literacy is the most widely taught, covering all age groups andoverlapping with other literacies. Data literacy tends to function as a sub-element of digitalliteracy, while AI literacy overlaps with both digital and data literacy, with the potentialfor future integration. Knowledge information processing competency is researchedindependently from the other literacies, showing limited overlap.