Figures & data
Figure 1. Based on teachers’ and students’ acceptance of taekwondo in schools.
Figure 2. The basic flow of the teaching-learning optimization algorithm.
Figure 3. Basic steps of the optimization algorithm of gray wolf.
Figure 4. Basic steps for introducing an adaptive teaching-learning optimization algorithm.
Figure 5. Comparison of the adaptivity values of TLBO, DSLTLBO and GWO algorithms in 60 dimensions.
Figure 6. Comparison of the adaptivity values of TLBO, DSLTLBO and GWO algorithms in 80 dimensions.
Figure 7. Comparison of class performance for exercise programs developed under different optimization algorithms.
Figure 8. Class satisfaction survey under different optimization algorithms.
Data Availability Statement
The labeled dataset used to support the findings of this study are available from the corresponding author upon request.