Thursday, November 7, 2019

MASSED PRACTICE AND DICTRIBUTIVE PRACTICE1 essays

MASSED PRACTICE AND DICTRIBUTIVE PRACTICE1 essays Running head: MASSED PRACTICE AND DICTRIBUTIVE PRACTICE The Effects of Massed Practice and Distributive Practice on Motor Skill Task. Queens College/ City University of New York Over a century scientist have wonder if massed practice conditions are superior to distributive practice conditions or visa versa. According to a mete-analytic review scientists have researched this very phenomenon and have concluded that distributive practices conditions are superior to those of massed practice conditions in a variety of situations. These results are supported by Maureen Bergondys experiment on team practice schedules as well as William C. Chaseys experiment on distribution of practice on learning retention and relearning. This experiment deals with the relationship between conditions of massed practice and distributive practice with respect to task performance. The motor skill task performed by subjects in this study wrote the English alphabet upside down fifty times. One group was given the massed practice motor task; while subjects from the five other groups practiced the motor task under five different distributions of time. However, our findings do not support those of previous findings. Our mixed factorial experiment with 51 subjects indicates that neither massed practice conditions or distributive practice conditions were superior. Therefore, the subjects acquisition of the motor task did not improve as a result of massed or distributed practice, but rather as the result of practice alone. Massed Practice and Distributive Practice Massed practice conditions are those in which individuals practice a task continuously without rest. While distributive practice conditions are those in which individuals are given rest intervals within the practice session. This mixed factorial experiment with 51 subjects deals with the effects of massed practice and distributive practice with respect to acqui...

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