The effects of different levels of difficulty on learning the task of throwing in elderly: emphasis on machine learning methods

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ESMAEELI ABDAR MOJTABA; TAHERI HAMID REZA; SOHRABI MAHDI; Ghanei Ali

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Journal: JOURNAL OF PSYCHOLOGICAL SCIENCE Year:2021 | Volume:20 | Issue:97 Page(s): 39-46

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Title

The effects of different levels of difficulty on learning the task of throwing in elderly: emphasis on machine learning methods

Author(s)

ESMAEELI ABDAR MOJTABA | TAHERI HAMID REZA | SOHRABI MAHDI | Ghanei Ali | Issue Writer Certificate

Keywords

Task difficultyQ1

elderlyQ1

machine learningQ1

Abstract

Background: Numerous studies have examined the difficulty levels of homework and homework learning. But research that uses machine learning approaches, and in particular neural-fuzzy inference systems, to model the difficulty of throwing a task with different difficulty conditions among the elderly has been overlooked. Aims: The aim of the present study was to investigate the effects of different levels of difficulty on learning the task of throwing in the elderly: Emphasis on machine learning methods. Method: The research was quasi-experimental with pre-test and post-test design with 4 control groups. The statistical population of the study included all righthanded elderly men in 1397 with an age range of 70-60 years in Mashhad. 120 elderly people were selected by available sampling method and randomly divided into 8 groups of 15 people (4 experimental groups and 4 control groups). The instrument of the present study was the task of discus throwing participants derived from the research of Sanli and Lee (Sanli and Lee, 2015). Data analysis was performed using encryption using an sophisticated system. Results: Individuals in the experimental group were better off than the control group in terms of learning conditions. Also, the best scenario of the adaptive fuzzy-neural inference system in the learning phase was selected in the experimental group No. 1 with the lowest error RMSE= 0/73 for the survey data. Conclusions: The use of fuzzy neural inference system and the creation of neural-fuzzy networks has been successful and significantly reduced the prediction error, which has a significant feature of rapid convergence and high accuracy.

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APA: Copy

ESMAEELI ABDAR, MOJTABA, TAHERI, HAMID REZA, SOHRABI, MAHDI, & Ghanei, Ali. (2021). The effects of different levels of difficulty on learning the task of throwing in elderly: emphasis on machine learning methods. JOURNAL OF PSYCHOLOGICAL SCIENCE, 20(97 ), 39-46. SID. https://sid.ir/paper/368438/en

Vancouver: Copy

ESMAEELI ABDAR MOJTABA, TAHERI HAMID REZA, SOHRABI MAHDI, Ghanei Ali. The effects of different levels of difficulty on learning the task of throwing in elderly: emphasis on machine learning methods. JOURNAL OF PSYCHOLOGICAL SCIENCE[Internet]. 2021;20(97 ):39-46. Available from: https://sid.ir/paper/368438/en

IEEE: Copy

MOJTABA ESMAEELI ABDAR, HAMID REZA TAHERI, MAHDI SOHRABI, and Ali Ghanei, “The effects of different levels of difficulty on learning the task of throwing in elderly: emphasis on machine learning methods,” JOURNAL OF PSYCHOLOGICAL SCIENCE, vol. 20, no. 97 , pp. 39–46, 2021, [Online]. Available: https://sid.ir/paper/368438/en

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