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Information Journal Paper

Title

Effect of Novice, Expert and Mixed Observational Models on Cognitive-Motor Task Learning

Pages

  35-50

Abstract

 The aim of this study was compared the effect of observation of novice, expert, and mixed models, in motor-cognitive task learning for 3-ball cascade juggle. The participants were 40 female students aged 19 to 25 who had never Juggling. They were divided in to four matched groups after pre-test: novice model observation group, expert, mixed and physical practice group. Expert model observation group watched a video executing the skill by a skilled person. Novice model observation group watched a video executing the skill by a novice and mixed model watched both videos. The research was done in six weeks. Three phases were down, pree test, Acquisition, Retention and transfer. Data were analyzed with repeated measures ANOVA (P<0. 05). There was used of mauchly's test of sphericity, Scheffe post hoc test, tukey test and greenhouse geisser test too. The result was show that novice model observation was better than other groups during the Acquisition, Retention and transfer phase but in the transfer test it was not significant. Finally, this research is show that the use of novice model is Beneficial for motor-cognitive skills learning.

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    APA: Copy

    ARABI, M., GHASEMI, A., & Kazem Vaez Mousavi, S. M.. (2018). Effect of Novice, Expert and Mixed Observational Models on Cognitive-Motor Task Learning. MOTOR BEHAVIOR (RESEARCH ON SPORT SCIENCE), 10(33 ), 35-50. SID. https://sid.ir/paper/232979/en

    Vancouver: Copy

    ARABI M., GHASEMI A., Kazem Vaez Mousavi S. M.. Effect of Novice, Expert and Mixed Observational Models on Cognitive-Motor Task Learning. MOTOR BEHAVIOR (RESEARCH ON SPORT SCIENCE)[Internet]. 2018;10(33 ):35-50. Available from: https://sid.ir/paper/232979/en

    IEEE: Copy

    M. ARABI, A. GHASEMI, and S. M. Kazem Vaez Mousavi, “Effect of Novice, Expert and Mixed Observational Models on Cognitive-Motor Task Learning,” MOTOR BEHAVIOR (RESEARCH ON SPORT SCIENCE), vol. 10, no. 33 , pp. 35–50, 2018, [Online]. Available: https://sid.ir/paper/232979/en

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