Monitoring of school wellness based on the effect of volleyball methodology
DOI:
https://doi.org/10.58894/AR-HBg.2025.8.94-101Keywords:
Benchmarking analysis, biomechanical parameters, volleyball methodologyAbstract
Objective: The study aims to establish the effect of the innovative volleyball methodology and its influence on the motor development level of volleyball players actively practicing this approach. Methods: The research aims to establish the reasons for the change in the biomechanical motor indicators as a result of the applied volleyball methodology, based on benchmarking the biomechanical parameters to determine the effect of the volleyball methodology on the degree of development of the motor qualities. The study contingent consisted of 26 7th-grade girls aged 13-14, practicing volleyball at a metropolitan school. The present study was conducted during the 2023-24 school year. Results: The subject of research is the dynamics of biometric indicators in one school year. Discussion: Motor activity measurements were performed at the beginning of the study, before the implementation of the innovative volleyball methodology, and at the end after the implementation. Conclusion: The influence of active sports on the motor development of volleyball players has undoubtedly been established. Analyzing the research from the conducted diagnostics, during the study a comparative analysis of the biomechanical motor indicators in two cognitive stages of the studied period was carried out to establish the effect of the applied volleyball methodology.
References
Dimitrova, Bistra, Izov, Nikolay, Alexandrova, Velichka, Yosifov, Rumen, Ignatova, Darinka, Trendafilov, Dimitar, Petrov, Vasil, Vassileva, Gergana. Smart kognitiven instrumentarium. Vunshna otsenka na profesionalni kompetentsii za kadri v Nishov turizum (2021). NSA Press; p. 110. 3.
Angelova, Petya & Ignatova, Darinka. Applying the Borg’s ratings of perceived exertion scale to assess motor development in online university learning (2025). Trakia Journal of Sciences, 22(Supplement 1), 6. 248-253.
Angelova, Petya & Ignatova, Darinka. Biomechanical sustainable trends in the dynamics of speed endurance indicators (2024). Series on Biomechanics, Vol.38, No.3, 48-54, ISSN:1313-2458.
Dimitrova, Bistra. The Economic Impact of Brain Drain on the Development of Wellness and Spa Tourism in Bulgaria (2023). Trakia Journal of Sciences, Vol. 21, Suppl. 3, 21-25.
Dimitrova, Bistra. Sustainable quality of SPA programs through benchmarking the biomechanical profile of a new aqua spinning methodology (2024). Series on Biomechanics, Vol.38, No.2, 23-28.
Dimitrova, Bistra. A Wellness lifestyle enhances emotional intelligence (2025). International scientific conference. Expanding knowledge through interdisciplinary research. Sydney, Australia. 27-28.02.2025. Proceeding, 92-98.
Dimitrova, Bistra. Niche tourism – innovations and quality culture in specialised workforce development (2025a). German International Journal of Modern Science V.100, 24-30.
Ignatova, Darinka. Implementation of motor complexes based on specialized application system blazepod trainer (2023). Bulgarian Educational Journal, Strategies for Policy in Science and Education, 31(6): 653-667.
Ignatova, Darinka. Study the influence of yoga specialised practices on the Formation of correct body posture and corrections of spinal Deformities (2023a). Smart Inovattions in Recreative & Wellness Industry and Niche Tourisum – Scientific Journal, 4(1-2): 17-22.
Ignatova, Darinka. Tracking functional dynamics in motor potential for development of Wellness Culture (2023b). Trakia Journal of Sciences, Vol. 21, Suppl. 1, 583-590.
Ignatova, Darinka. Smart Educational Models of Wellness Practices, Recreation, Wellness Industry and Niche Tourism (2024). International Scientific Journal for Smart Innovations, Vol. 6, Is. 1, 15-23.
Ignatova, Darinka & Iliev, Alexander. Current methods and models combining nutritional regimes with motor activity (2023). International Scientific Journal of Innovation “Smart Innovations in the Recreational (Wellness) Industry and Niche Tourism”, 05 (1-2), 08-14.
Iliev, Alexander. Emotion Recognition Using Glottal and Prosodic Features (2009). Doctoral dissertation, University of Miami.
Iliev, Alexander. Feature vectors for emotion recognition in speech (2016). In National Informatics Conference (225-238).
Iliev, Alexander, Dimitrova, Bistra, Ignatova, Darinka, Angelova, P. Benchmarking Analysis at Establishing a Culture of Wellness (2021). Forum for Education Studies 2024, 2(3), 1418, Vol. 2 No. 3 (2024), 01-08.