Academic and sport achievements of the physical culture and sports university students

Keywords: bachelor, education, scores, correlation, testing, model

Abstract

Background and Study Aim. It is widely used a paradigm about the interdependence between the academic and sport achievements of students. The aim of this research was to create a model for studying relationships between academic and sport achievements of the sports and physical culture university students. Material and Methods. Totally 259 (168 male and 91 female) bachelor students of 18–23 years old studied Physical Culture and Sports were involved into the investigation. All the students were good healthy, and they participated in the sport training and competitions, according the common program. Interdependence between the semester control scores and scores of the sport achievements were studied in the frames of correlation models of parameter and non-parameter statistics. Distribution of scores was studied using Kolmogorov – Smirnov method. One-way ANOVA for repeated measures was used to determine differences between students’ scores and educational disciplines’ scores. Results. Almost non-significant weak interdependence between results of the semester control and sport achievements was noticed (р>0.05, 0.174≤rs≤0.284). There were no statistically significant and tight correlation between semester control scores of educational disciplines and corresponding sport achievements scores (|rs|≤0.376). Contrary, in 73% of educational disciplines pairs the semester control scores showed significant and tight correlation (p<0.001, 0.385≤r≤0.895). Conclusions. A well-known paradigm about significant relationship between academic and sport achievements of students was not confirmed with the results of this research and should be studied more profoundly.

Downloads

Download data is not yet available.

View Counter: Abstract | 334 | times, Article PDF |

Author Biographies

Ihor Zanevskyy, Lviv State University of Physical Culture
izanevsky@ukr.net; Department of Informatics and Kinesiology, Lviv State University of Physical Culture Lviv, Ukraine.
Lyudmyla Zanevska, Lviv State University of Physical Culture
lzanevska@ukr.net; Department of Economics and Management, Lviv State University of Physical Culture; Lviv, Ukraine.

References

1. Bondarenko MP. Assessment of the motivation factors for professional sport activity. Middle-East Journal of Scientific Research, 2013; 14 (9): 1221–1225.
https://doi.org/10.5829/idosi.mejsr.2013.14.9.2227

2. Turkmen M. Investigation of the Relationship between Academic and Sport Motivation Orientations. Middle-East Journal of Scientific Research, 2013; 16 (7): 1008–1014.
https://doi.org/10.5829/idosi.mejsr.2013.16.07.765

3. Turkmen M, Bozkus T, Altintas A. The relationship between motivation orientations and competitive anxiety in Bocce players: Does gender make a difference? Psychology and Behavioral Sciences, 2013; 2 (4): 162–168.
https://doi.org/10.11648/j.pbs.20130204.12

4. Mahmoud MAAE. Preparatory school students’ attitudes towards physical education lessons and its relationship to sport achievement motivation in Al Fayoum governorate. World Journal of Sport Sciences, 2012; 6 (4): 432–440.
https://doi.org/10.5829/idosi.wjss.2012.6.4.1158

5. Sierra-Díaz MJ, González-Víllora S, Pastor-Vicedo JC, López-Sánchez GF. Can We Motivate Students to Practice Physical Activities and Sports Through Models-Based Practice? A Systematic Review and Meta-Analysis of Psychosocial Factors Related to Physical Education. Front Psychol, 2019;10:2115.
https://doi.org/10.3389/fpsyg.2019.02115

6. Aelterman N, Vansteenkiste M, Van-Keer, Van den Berghe L, De-Meyer J, Haerens L. Students’ objectively measured physical activity levels and engagement as a function of between-class and between-student differences in motivation toward physical education. J. Sport Exerc. Psychol. 2012; 34: 457–480.
https://doi.org/10.1123/jsep.34.4.457

7. Carrasco-Beltran HJ, Reigal RE, Fernandez-Uribe S, Vallejo-Reyes F, Chirosa-Rios LJ. Self-determined motivation and state of flow in an extracurricular program of Small-Sided Games. An. Psicol. 2018; 34: 391–397.
https://doi.org/10.6018/analesps.34.2.258621

8. Casey A, MacPhail A. Adopting a models-based approach to teaching physical education. Phys. Educ. Sport Pedag. 2018; 23: 294–310.
https://doi.org/10.1080/17408989.2018.1429588

9. Renshaw I, Chow JY. A constraint-led approach to sport and physical education pedagogy. Phys. Educ. Sport Pedag. 2019; 24: 103–116.
https://doi.org/10.1080/17408989.2018.1552676

10. Navarro-Paton R, Lago-Ballesteros J, Basanta-Camino S, Arufe-Giraldez V. Relation between motivation and enjoyment in physical education classes in children from 10 to 12 years old. J. Hum. Sport Exerc. 2018; 1: 1–11.
https://doi.org/10.14198/jhse.2019.143.04

11. Medina-Casaubon J, Burgueno R. Influence of a sport education season on motivational strategies in high school students: a self-determination theory-based perspective. Ebm. Recide. 2017; 13: 153–166.
https://doi.org/10.1186/1479-5868-8-78

12. Kolovelonis A, Goudas M. The relation of physical self-perceptions of competence, goal orientation, and optimism with students’ performance calibration in physical education. Learn. Individ. Differ. 2018; 61: 77–86.
https://doi.org/10.1016/j.lindif.2017.11.013

13. Gonzalez-Víllora S, Sierra-Diaz MJ, Pastor-Vicedo JC, Contreras-Jordán OR. The way to increase the motor and sport competence among children: the Contextualized Sport Alphabetization model. Front. Physiol. 2019; 10: 569.
https://doi.org/10.3389/fphys.2019.00569

14. Gonzalez-Villora S, Evangelio C, Sierra-Diaz J, Fernandez-Rio J. Hybridizing Pedagogical models: a systematic review. Eur. Phys. Educ. Rev. 2018; 20: 1–19.
https://doi.org/10.1177/1356336X18797363

15. Huhtiniemi M, Saakslahti A, Watt A, Jaakkola T. Associations among basic psychological needs, motivation and enjoyment within finnish physical education students. J. Sport Sci. Med. 2019; 18: 239–247.

16. Hartwig TB, Pozo-Cruz B, White RL, Sanders T, Kirwan M, Parker PD, et al. A monitoring system to provide feedback on student physical activity during physical education lessons. Scand. J. Med. Sci. Sports. 2019; 29: 1305–1312.
https://doi.org/10.1111/sms.13438

17. Bachelor Educational Program. Speciality 017 “Physical Culture and Sports”. [document on the Internet]. Accepted by Academic Board of Lviv State University of Physical Culture. 2016. [cited 2021 Jan 12]. Available from: https://www.ldufk.edu.ua/files/Navchal'na%20robota/Akredytacia/osv.%20progr.%20fizk.%20bakf.pdf (in Ukrainian)

18. Regulations on organization and conduct of current and final control and mechanism of appealing against the results of students. [document on the Internet]. Accepted by Academic Board of Lviv State University of Physical Culture. 2019. [cited 2021 Jan 12]. [cited 2021 Jan 12]. Available from: https://www.ldufk.edu.ua/files/tekst_fail/dokumenty%20LDUFK/oskarzhennja%20rezultativ%20navchannja%2004%2020.pdf (in Ukrainian)

19. Provisions on scholarship support for students, postgraduates, doctoral students. [document on the Internet]. Accepted by Academic Board of Lviv State University of Physical Culture. [cited 2021 Jan 12]. Available from: https://www.ldufk.edu.ua/files/Nauka/Studentska%20nauka/polozhennia%20kinc.pdf (in Ukrainian)

20. Soper HE, Young AW, Cave BM, Lee A, Pearson K. On the distribution of the correlation coefficient in small samples. Appendix II to the papers of "Student" and R. A. Fisher. A co-operative study. Biometrika, 1917; 11 (4): 328–413.
https://doi.org/10.1093/biomet/11.4.328

21. Bonett DG, Wright TA. Sample size requirements for Pearson, Kendall, and Spearman correlations. Psychometrika, 2000; 65: 23–28.
https://doi.org/10.1007/bf02294183

22. Walsh JE. Bounded Probability Properties of Kolmogorov–Smirnov and Similar Statistics for Discrete Data. Annals of the Institute of Statistical Mathematics, 1963; 15 (1): 153–158.
https://doi.org/10.1007/bf02865912

23. Social Science Statistics. [document on the Internet]. [cited 2021 Jan 12]. Available from: https://www.socscistatistics.com/

24. Excel help & learning. [document on the Internet]. [cited 2021 Jan 12]. Available from: https://support.microsoft.com/en-us/excel

25. Zanevskyy I, Zanevska L. Models of intra- and interclass correlation test mean-score reliability. Journal of Testing and Evaluation, 2017; 45 (6): 1853–1861.
https://doi.org/10.1520/JTE20140363

26. Aghdasi MT, Nasiri M. Motivations and to notify its relationship with socioeconomic conditions of male and female participants in public exercises in the city of Tabriz. World Applied Sciences Journal, 2012;17 (1): 109-112.

27. Chan YK, Chen S, Tu KW, Chi LK. Effect of autonomy support on self-determined motivation in elementary physical education. J. Sport Sci. Med. 2016; 15: 460–466.

28. Arias-Estero JL, Castejon FJ, Yuste JL. Psychometric properties of the intention to be physically active scale in primary education. Rev. Educ. 2013; 362: 485–505.
https://doi.org/10.4438/1988-592X-RE-2013-362-239

29. Gillison FB, Rouse P, Standage M, Sebire SJ, Ryan RM. A meta-analysis of techniques to promote motivation for health behaviour change from a Self-Determination Theory perspective. Health Psychol. Rev. 2019; 13: 110–130.
https://doi.org/10.1080/17437199.2018.1534071
Published
2021-06-30
How to Cite
1.
Zanevskyy I, Zanevska L. Academic and sport achievements of the physical culture and sports university students. Pedagogy of Physical Culture and Sports. 2021;25(3):165-71. https://doi.org/10.15561/26649837.2021.0304
Section
Articles