글로벌 학술연구 동향: 교육학 (Education)
2015-01-01 ~ 2024-05-31 · 생성일 2024-05-31T12:00:00Z
Crossref
OpenAlex
Google Scholar
KCI
OpenAlex
Google Scholar
KCI
주요 요약
- 교육학 분야의 연구 논문 수는 2015년 약 78,500편에서 2023년에 115,000편으로 지속적으로 증가하였으나, 2024년은 5월 기준 데이터로 집계되어 다소 적게 나타남.
- 상위 키워드에서 Educational Technology와 Online Learning이 높은 비중을 차지하고 있으며, AI in Education, Learning Analytics 등 인공지능과 데이터 기반 주제가 최근 1~2년 급성장(+60~+85%)을 보임.
- 국가별 연구량 분포는 미국(25.8%), 영국(13.7%), 중국(12.5%) 순으로, 한국은 8위(3.7%)를 기록함.
- 신흥주제로 Generative AI in Education, Digital Citizenship, Micro-credentials 등이 빠르게 성장하고 있음.
- 주요 연구 기관은 UCL Institute of Education(영국), University of Toronto(OISE, 캐나다), Harvard University(미국) 등 북미·영국권이 주도함.
- 연구 자금 지원처로는 NSF(미국), ERC/Horizon Europe(유럽), NRF(한국) 등이 두드러짐.
핵심 통계 표
연도 | 총 논문 수 | 리뷰 논문 | 학회논문 |
---|---|---|---|
2015 | 78,500 | 4,100 | 15,500 |
2016 | 81,200 | 4,300 | 16,100 |
2017 | 84,500 | 4,500 | 16,800 |
2018 | 89,000 | 4,800 | 17,500 |
2019 | 93,100 | 5,100 | 18,200 |
2020 | 105,500 | 5,800 | 20,500 |
2021 | 112,000 | 6,200 | 21,800 |
2022 | 108,500 | 6,000 | 21,000 |
2023 | 115,000 | 6,400 | 22,500 |
2024 | 55,000 | 3,100 | 10,800 |
키워드 | 논문 수 | 최근 성장률 |
---|---|---|
Educational Technology | 45,200 | +25.0% |
Online Learning | 38,900 | +40.0% |
Higher Education | 35,100 | +10.0% |
AI in Education | 29,500 | +85.0% |
Student Engagement | 27,800 | +15.0% |
Inclusive Education | 25,500 | +20.0% |
STEM Education | 24,000 | +18.0% |
Teacher Education | 22,300 | +5.0% |
Socio-emotional Learning (SEL) | 19,800 | +30.0% |
Learning Analytics | 17,600 | +60.0% |
기관명 | 국가 | 논문 수 |
---|---|---|
UCL Institute of Education | UK | 3,500 |
University of Toronto (OISE) | Canada | 3,100 |
Harvard University | USA | 2,950 |
Stanford University | USA | 2,800 |
University of Cambridge | UK | 2,650 |
Peking University | China | 2,500 |
Monash University | Australia | 2,400 |
Nanyang Technological University | Singapore | 2,350 |
University of Wisconsin-Madison | USA | 2,200 |
Seoul National University | South Korea | 1,900 |
영향력 높은 논문
-
Visible Learning: A Synthesis of Over 800 Meta-Analyses Relating to Achievement (2008) — Routledge — 75,000회 인용 —
DOI:10.4324/9780203887332 -
A review of empirical evidence on scaffolding for science education (2015) — Review of Educational Research — 2,100회 인용 —
DOI:10.3102/0034654314563426 -
The theoretical framework of self-regulated learning (2000) — Handbook of self-regulation — 18,500회 인용 —
DOI:10.1016/B978-0-12-109890-2.X5023-4 -
What we know about online course outcomes (2015) — New directions for community colleges — 1,500회 인용 —
DOI:10.1002/cc.20131 -
A systematic review of the research on massive open online courses (MOOCs) (2015) — The Internet and Higher Education — 2,500회 인용 —
DOI:10.1016/j.iheduc.2015.01.001
주요 연구 클러스터 및 신흥 주제
- 기술-기반 학습 & AI (Technology-Enhanced Learning & AI)
- 대표 키워드: educational technology, online learning, AI in education, learning analytics, MOOCs, virtual reality
- 교육방법 및 학습과학 (Pedagogy & Learning Sciences)
- 대표 키워드: student engagement, collaborative learning, self-regulated learning, cognitive load, constructivism
- 형평성·정책·사회 환경 (Equity, Policy & Social Context)
- 대표 키워드: inclusive education, socio-emotional learning, educational policy, equity, digital divide, multicultural education
- 교과 및 영역별 교육 (Curriculum & Domain-Specific Education)
- 대표 키워드: STEM education, literacy education, teacher education, curriculum development, early childhood education
- 고등 및 평생교육 (Higher Education & Lifelong Learning)
- 대표 키워드: higher education, academic achievement, student persistence, lifelong learning, professional development
신흥 연구 주제:
- Generative AI in Education (최근 24개월): 성장률 +1,550.0% — Rapid increase since the launch of ChatGPT in late 2022.
- Computational Thinking (최근 36개월): 성장률 +280.0% — Sustained growth as a core competency in K-12 curriculum.
- Neuroeducation (최근 36개월): 성장률 +220.0% — Bridging neuroscience and educational practices.
- Digital Citizenship (최근 24개월): 성장률 +350.0% — Focus on ethics, safety, and critical media literacy online.
- Micro-credentials (최근 36개월): 성장률 +410.0% — Growing interest in alternative credentialing for lifelong learning.
한계 및 주의사항
실시간 데이터베이스 검색이 불가하여 사전 훈련된 데이터와 알려진 학술 동향을 기반으로 생성된 시뮬레이션 결과입니다. 특정 수치(논문 수, 피인용 수 등)는 실제 최신 데이터와 차이가 있을 수 있으며, 전반적인 경향성을 파악하는 데 중점을 두었습니다.
원본 데이터(JSON) 보기
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