%0 Journal Article %T The Effect of Errorless, Errorful and Random Practices on Learning of the Relative Timing of a Selected Motor Task: An Emphasis on Implicit and Explicit Learning Approaches %J Journal of Sports and Motor Development and Learning %I University of Tehran %Z 2008-9333 %A Nazari Kakavandi, Saeed %A Saberi Kakhki, Alireza %A Taheri Torbati, Hamidreza %A Rohbanfard, Hassan %D 2019 %\ 11/22/2019 %V 11 %N 3 %P 321-342 %! The Effect of Errorless, Errorful and Random Practices on Learning of the Relative Timing of a Selected Motor Task: An Emphasis on Implicit and Explicit Learning Approaches %K Errorless and errorful practice %K implicit and explicit learning %K random practice %K relative timing %R 10.22059/jmlm.2019.254917.1366 %X The aim of this study was to investigate the role of the errorless, errorful and random practice schedules on the acquisition and learning of relative timing in a motor task. 51 male students (age: 22±4 years old) were selected and randomly assigned to four groups (control, errorful, errorless, and random). This study was carried out in five phases: pretest (PRT), acquisition (ACQ), 10-min retention and transfer and 24-hour retention and transfer. In the acquisition phase, a timing task with three different difficulty levels (simple, moderate, and difficult) was practiced in three sessions of 45 trials with feedback by experimental groups. In order to analyze the data, a mixed-design analysis of variance model with repeated measures on each variable was used in the acquisition and retention phases. The one-way analysis of variance (ANOVA) was used in the other phases. The findings of relative timing showed no significant differences among the groups in the pretest (P˃0.05). Additionally, in retention and transfer tests, errorless group had better performance than errorful, random and control groups (P≤0.05). Errorless group performed better than the random and errorful groups in 24-hour transfer test of the secondary task (P≤0.05). These results showed that practice in errorless conditions leads to a better learning of the task and its generalization to new conditions that are consistent with the implicit learning and reinvestment theories %U https://jsmdl.ut.ac.ir/article_74328_db05bf86219fe5d849732bd79f95dd45.pdf