The Effect of Feed Forward Augmented Information in Model Observation on Learning Mini Basketball Penalty Free Throw Skill in Children

• Main Authors: Mohammad Hossein Zamani (Author), Ayoub Hashemi (Author), Rasool Abedanzadeh (Author)
• Format: Book
• Published: University of Tehran, 2018-08-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.
• Notes: 2008-9333; 2676-4547; 10.22059/jmlm.2017.240447.1293
• Keywords: children; feed forward; free throw; learning; mini basketball; observational learning; Sports; GV557-1198.995
• Source: رشد و یادگیری حرکتی ورزشی, Vol 10, Iss 2, Pp 195-212 (2018)

The aim of this study was to investigate the effect of feed forward augmented information in model observation on learning mini basketball free throw skill in children. For this purpose, 45 children (10 years old) were selected as the sample by convenience sampling method and were divided into three groups: feed forward augmented information + observation, observation + KR feedback, and control (C). The research method was semi-experimental and research design was pretest-posttest and retention test. The task used in this study was mini basketball free throw skill. Firstly, the participants performed 15 trials in the pretest. The acquisition phase consisted of 6 blocks of 15 trials of observation followed by physical training. The retention test was performed 48 hours after the last training block in 15 trials. The data were analyzed by mixed analysis of variance, between-group analysis of variance and Tukey post hoc test. The results showed that both at the acquisition and retention phases, feed forward augmented information + observation group who were knowledgeable about the quality of the model prior to the observation showed better performance than the other two groups (P<0.05). Generally, these results showed that knowledge of the model performance before observation can make learning of a throwing task more significant than the time when they were knowledgeable after the observation. Therefore, it is suggested that feed forward augmented information on the quality of the model before observation should be used to improve the performance of the subjects.