인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Artificial intelligence applications have revolutionized business, industry, and education. Applications developed for other sectors are being adapted for education. The amount of data being generated by educational institutions is used to make recommendations for a wide range of areas. The study uses bibliometric analysis to evaluate the development and growth of recommender systems in higher education. Two hundred seventy-two (272) articles published between 2007 and 2021 in the Scopus database were utilized to collect data. The study examines the different patterns such as publication trends, the relative growth rate (RGR) and doubling time (DT) for publications. Results show a steady increase in publications, with 2017 recording the highest number of publications. China, Spain and the United States have the highest publications. The mean RGR decreased, and the mean doubling time increased in the three-five-year periods. The study identified sixteen themes covered by the research articles analyzed. Most articles focused on e-learning, followed by classroom activities and, thirdly, those focusing on course selection. The study provides essential insights into current and future research on recommender systems in higher education. This analysis helps researchers, policymakers, and practitioners better understand the development of recommender systems in higher education and possible practice implications.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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