서지분석을 이용한 AI 리터러시, 디지털 리터러시, 데이터 리터러시, 지식정보처리역량의 연구 동향 및 관계 분석

• 영문명: Analyzing Research Trends and Relationships in AI Literacy, Digital Literacy, Data Literacy, and Knowledge Information Processing Competency through Bibliometric Analysis
• 발행기관: 한국교원대학교 뇌기반교육연구소
• 저자명: 손미현 조헌국
• 간행물 정보: 『Brain, Digital, & Learning』제14권 제3호, 385~409쪽, 전체 25쪽
• 주제분류: 사회과학 > 교육학
• 파일형태: PDF
• 발행일자: 2024.09.30

국문 초록

This study explores research trends related to artificial intelligence and digital technology by focusing on four key terms: literacy, artificial intelligence literacy, digital literacy, and knowledge information processing competency. Using the RISS database, we collected papers published over the last 20 years until September 2023 and conducted a quantitative bibliometric analysis. Semantic network analysis was applied to understand the relationships, trends, and characteristics of these concepts. The findings show that digital literacy, data literacy, AI literacy, and knowledge information processing competency all aim to foster creative thinking and are primarily taught at the basic education level, especially for elementary school students, often in convergence education formats. Digital literacy is the most widely taught, covering all age groups and overlapping with other literacies. Data literacy tends to function as a sub-element of digital literacy, while AI literacy overlaps with both digital and data literacy, with the potential for future integration. Knowledge information processing competency is researched independently from the other literacies, showing limited overlap.

목차

Introduction

Materials and Methods

Results

Discussions

Conclusions

Conflicts of Interest

Acknowledgement

References

Authors’ Information

키워드

AI Literacy digital literacy data literacy knowledge information processing competency bibliometric analysis