Forecasting the number of physical education teachers to graduate in Türkiye by 2030 utilizing artificial neural networks and time series analysis
Keywords:
Machine learning, sensitivity analysis, forecasting, physical educationAbstract
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.
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Copyright (c) 2025 Halil ÇOLAK

This work is licensed under a Creative Commons Attribution 4.0 International License.

