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Korean Journal of Leisure, Recreation & Park - Vol. 50, No. 1
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Korean Journal of Leisure, Recreation & Park - Vol. 49, No. 4, pp. 71-84
Abbreviation: KSLRP
ISSN: 1598-0413 (Print)
Print publication date 31 Dec 2025
Received 27 Oct 2025 Revised 27 Nov 2025 Accepted 19 Dec 2025
DOI: https://doi.org/10.26446/kjlrp.2025.12.49.4.71

빅데이터 분석을 활용한 스포츠 AI 코칭 현황 및 전망 분석 연구
이재문1 ; 이용건2
1충북대학교 사회과학연구소 전임연구원
2서울대학교 강사

An Analysis of the Current Status and Future Prospects of Sports AI Coaching Using Big Data Analytics
Lee, Jae-Moon1 ; Lee, Yong-Gun2
1Chungbuk National University
2Seoul National University
Correspondence to : Lee, Yong-Gun E-mail: xfdancer@snu.ac.kr

Abstract

This study aimed to identify the current status and development directions of sports AI coaching technologies through big data analysis. To this end, a total of 33,083 unstructured online data entries (11.95MB) related to “sports AI coaching” were collected between January 1, 2020, and September 5, 2025, and analyzed using text mining, TF-IDF, semantic network analysis, and CONCOR analysis.

The analysis revealed three major categories of discourse related to sports AI coaching. First, “Technology-Converged AI Coaching” refers to an area that supports personalized feedback and real-time training through the integration of various AI technologies. Second, “Field-Centered AI Coaching” represents a hybrid coaching model combining AI with human expertise, demonstrating its applicability in actual training and educational settings. Third, “Culture and Education” emphasizes that AI coaching goes beyond mere technological innovation, playing a key role in improving accessibility to sports and learning environments while promoting the diffusion of socio-cultural values.

In conclusion, this study presents an integrated framework of technology (convergence)–field (empirical application)–culture (acceptance) and provides foundational insights for establishing a systematic and sustainable ecosystem for sports AI coaching.

Keywords: Sports AI Coaching, Big Data, Semantic Network Analysis
키워드: 스포츠 AI 코칭, 빅데이터, 의미연결망 분석
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