Forecasting the number of physical education teachers to graduate in Türkiye by 2030 utilizing artificial neural networks and time series analysis

Authors

  • Halil ÇOLAK

Keywords:

Machine learning, sensitivity analysis, forecasting, physical education

Abstract

Türkiye possesses a rather substantial youth population, rendering sports infrastructure essential. Physical education instructors are critical in advocating for fitness, imparting knowledge of physical activities, and identifying athletic potential in school-aged children and adolescents who allocate a significant amount of time to activities outside of school hours. The evolution of technology has integrated artificial intelligence into our daily lives, with one of its advantages being the ability to forecast future results. This study seeks to quantify the anticipated number of physical education instructors graduating from 2023 to 2030 via diverse methodologies. The 0, 0, 1 model predicts a 1.66-fold increase in the number of physical education instructors graduating in 2030 compared to 2022. The Bayesian regularization technique forecasts a 1.20-fold increase. The projected range for the number of physical education instructors graduating in 2030 is between 5030 and 6979.

Published

2025-03-20

How to Cite

Halil ÇOLAK. (2025). Forecasting the number of physical education teachers to graduate in Türkiye by 2030 utilizing artificial neural networks and time series analysis. Beden Eğitimi Spor Sağlık Ve Efor Dergisi, 4(1), 24–40. Retrieved from https://bessedjournal.com/index.php/pub/article/view/127

Issue

Section

Articles

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