본문 바로가기
KERD
논문KCI 등재

데이터 시각화를 통한 체육교육방안 탐구

Exploring of Teaching Physical Education through Data Visualization

0

조회

0

다운로드

0

인용

0

참고문헌

키워드

초록

Collecting and reporting sports data have been a long history since ancient olympic games. Individuals involved in the field of sports and physical education have collected athletes or teams’ performance data to communicate with others or to improve athletes’ performance. For example, a journalist collect sport data to communicate with public. Scouter and coach collect game or athletes’ performance data for scouting or better performance. Beyond individuals involved in the sports field, people actively participating in a recreational sports collect their performance data to track, maintain, and improve their performance. Like this, sports data has been used for various purpose. Thesedays, a variety of technologies have introduced that can visualize sport data. Visualized sport data offers new ways of exploring, making sense of, and communicating sports data to individuals who do not have background knowledge about statistic. Thus, the purpose of this study was to explore type of sport data visualization and its possibility to implement in teaching physical education.

Abstract

Collecting and reporting sports data have been a long history since ancient olympic games. Individuals involved in the field of sports and physical education have collected athletes or teams’ performance data to communicate with others or to improve athletes’ performance. For example, a journalist collect sport data to communicate with public. Scouter and coach collect game or athletes’ performance data for scouting or better performance. Beyond individuals involved in the sports field, people actively participating in a recreational sports collect their performance data to track, maintain, and improve their performance. Like this, sports data has been used for various purpose. Thesedays, a variety of technologies have introduced that can visualize sport data. Visualized sport data offers new ways of exploring, making sense of, and communicating sports data to individuals who do not have background knowledge about statistic. Thus, the purpose of this study was to explore type of sport data visualization and its possibility to implement in teaching physical education.

참고문헌 (15)

  1. 김지응, "머신러닝을 활용한 핸드볼 경기결과 시각화 및 예측력 비교", 박사, pp.2020
  2. "Dartfish 소개서" (2021), 디에프코리아[URL]
  3. 민대기, "축구경기에서 그래픽을 이용한 정보제공", Journal of The Korean Data Analysis Society, 6(3), pp.717~726 (2004), 한국자료분석학회
  4. 변경석, "모션 캡쳐(motion capture)기술의 발전과 스포츠과학 적용", 한국스포츠정책과학원, 153, pp.28~35 (2020)
  5. 이영석, "Teachable Machine을활용한 인공지능 교육 방안", 한국정보과학회학술발표논문집, 5, pp.913~915 (2020)
  6. 최영화, "소셜 네트워크 이론을 통한 스포츠 정보시각화에 관한 연구", Journal of Integrated Design Research, 15(2), pp.111~122 (2016), 디자인연구소
  7. Burch, M., "Visual Analysis of FIFA World Cup Data", International Conference Information Visualisation (2020), IEEE Computer Society
  8. Dietrich, C., "Baseball4d: A tool baseball game reconstruction & visualization", 2014IEEE Conference on Visual Analytics Sciences and Technology (VAST), pp.23~32 (2014)
  9. "Stephen Curry Stats, News, Bio" (2021)[URL]
  10. Goldsberry, K., "CourtVision : New visual and spatial analytic for the NBA", MIT Sloan Sports Analytics Conference, 9, pp.12~15 (2012)
  11. "Jrob1564, Is Stephen Curry the NBA’s best shooter? steph, shooting and some stats" (2013)[URL]
  12. Perin, C., "State of the art of sports data visualization", Computer Graphics Forum, 37(3), pp.663~686 (2018)
  13. "Teachable machine tutorial: Head tilt" (2019)[URL]

관련 논문AI추천

이 간행물의 다른 논문 (15건)