Programmable basketball shooting machine: training benefits
ˑ:
Postgraduate D.V. Skachkov1
PhD E.S. Naboychenko1
PhD, Associate Professor V.M. Kormyshev1
PhD, Professor K.S. Yang2
1Ural Federal University named after the first President of Russia B.N. Yeltsin, Yekaterinburg
2Sunmun University, Asan, Republic of Korea
Objective of the study was to theoretically analyze and practically test benefits of a programmable basketball shooting machine for technical skills training in basketball groups.
Methods and structure of the study. The study included a basketball-shooting-machine-assisted training experiment on a sample of the 17-23-year-old basketball players (n=28) of different skill levels. We split them up into Experimental and Control Groups (EG, CG) of 14 people each. The skill levels in the groups were as follows: unskilled non-competing athletes (n=2 in each group); athletes with basic skill sets but no experience in school/ Youth Sports School competitions (n=4 in each group); fairly skilled athletes trained at the Youth Sports School (n=4 in each group); and highly-skilled experienced Student Basketball Association competitors (n=4 in each group).
Results and conclusion. The training experiment with the pre-versus post-experimental physical fitness/ technical fitness / special endurance tests and analyses showed the basketball-shooting-machine-assisted training model being highly beneficial as it facilitates individual progress in many aspects with a special emphasis on the individual weaknesses and technical skills improvement barriers, opportunities and creative resource mobilizing emphases – both in the pre-seasonal training and competitive periods.
Keywords: hardware-software complex, basketball shooting machine, progress assessment in training process, Student Basketball Association Tournament.
References
- Cooper W.W., Jose L. Ruiz, Inmaculada Sirvent. Selecting non-zero weights to evaluate effectiveness of basketball players with DEA /European journal of operational research 195 (2009) p. 563–574.
- Hiroki Okabo, Mont Hubbard. Identification of basketball parameters for a simulation model / Procedia Engineering 2 (2010) p. 3281–3286.
- Ronald L Huston, Cesar A. Grau. Basketball shooting strategies – the free throw, direct shot and layup / Sports Engineering (2003) 6, p. 49–64.
- Thomas A. Severini. Analytic methods in sports- Boca Raton, FL, USA: CRC Press, 2015 – 248 p.
- Wootten, Morgan. Coaching basketball successfully/ Morgan Wooten, Joe Wootten - 3rd ed. – Champaign IL USA: Human Kinetics, 2013/ 304 p.