Didactic Opportunities of Information-Communication Technologies in the Control of Physical Education
DOI:
https://doi.org/10.17309/tmfv.2020.2.06Keywords:
physical education, control, testing, information and communication technologies, speed and power abilities, sensor deviceAbstract
The study objective is to justify and implement information and communication technologies in the test control of the development level of the frequency of movements, as a manifestation of speed qualities in the process of physical education.
Materials and Methods. To solve the research tasks, the study used the methods of comparing and contrasting, analysis, synthesis, abstraction, formalization and technical modeling.
Results. An electronic device for the exercise controlling the movement frequency of the hands to evaluate speed qualities was developed for the research purpose. The device is designed on the basis of capacitive type proximity sensors. The signal received by the sensors is processed in the microcontroller unit during the test and transmitted to the personal computer via the communication interface. On a personal computer, using the developed software, they control the time of completion of the test task.
Conclusions. The developed information and communication technologies based on electronic monitoring device embodies a new approach to addressing the challenge of improving the performance of speed control in physical education by ensuring that objective and reliable test data are obtained promptly.
Downloads
References
Alfrey, L., & Gard, M. (2014). A crack where the light gets in: a study of Health and Physical Education teachers’ perspectives on fitness testing as a context for learning about health. Asia-Pacific Journal of Health, Sport and Physical Education, 5(1), 3-18. https://doi.org/10.1080/18377122.2014.867790
Alme, K.J., & Mylvaganam, S. (2006). Electrical Capacitance Tomography: Sensor Models, Design, Simulations, and Experimental Verification IEEE. Sensors Journal, 6(5), 1256-1266. https://doi.org/10.1109/JSEN.2006.881409
Asadi, A., Arazi, H., Young, W.B., & Saez de Villarreal, E. (2016). The effects of plyometric training on change-of-direction ability: A meta-analysis. International Journal of Sports Physiology and Performance, 11(5), 563-573. https://doi.org/10.1123/ijspp.2015-0694
Bassett, D.R. (2000). Validity and reliability issues in objective monitoring of physical activity. Research Quarterly for Exercise and Sport, 71, 30-36. https://doi.org/10.1080/02701367.2000.11082783
Bracke, W., Puers, R., & Van Hoof, C. (2007). Ultra low power capacitive sensor interfaces. Springer.
Capobianco, R.A., Almuklass, A.M. & Enoka, R.M. (2018). Manipulation of sensory input can improve stretching outcomes. European Journal of Sport Science, 18(1), 83-91. https://doi.org/10.1080/17461391.2017.1394370
CapSenseTM. Best practices notebook, Cypress (2006). http://www.cyprees.com
Chow, G.C.C., Chung, J.W.Y., Ma A.W.W, Macfarlane, D.J., & Shirley, S.M.F. (2017). Sensory organisation and reactive balance control of amateur rugby players: A cross-sectional study. European Journal of Sport Science, 17(4), 400-406. https://doi.org/10.1080/17461391.2016.1257656
Clarys, J.P., & Cabri, J. (1993). Electromyography and the study of sports movements: A review. Journal of Sports Sciences, 11(5), 379-448. https://doi.org/10.1080/02640419308730010
Crocker, L., & Algina, J. (2015). Introduction to Classical and Modern Test Theory. New-York: Harcourt Brace Jovanovich.
Di Tore, P. A., Schiavo, R., & D’isanto, T. (2016). Physical education, motor control and motor learning: theoretical paradigms and teaching practices from kindergarten to high school. Journal of Physical Education and Sport, 16(4), 1293-1297. https://doi.org/10.7752/jpes.2016.04205
Geoffrey, A., Power, G., Handrigan, A., & Basset, F.A. (2012). Ventilatory response during an incremental exercise test: A mode of testing effect. Pedagogy, 12(6): 491-498. https://doi.org/10.1080/17461391.2011.573580
Gonzalo-Skok, O., Sánchez-Sabaté, J., Izquierdo-Lupón, L. & Sáez de Villarreal, E. (2019). Influence of force-vector and force application plyometric training in young elite basketball players. European Journal of Sport Science, 19(3), 305-314.
https://doi.org/10.1080/17461391.2018.1502357
Gonzalo-Skok, O., Serna, J., Rhea, M.R., & Marin, P.J. (2015). Relationships between functional movement tests and performance tests in young elite male basketball players. International Journal of Sports Physical Therapy, 10(5), 628-638.
Gonzalo-Skok, O., Tous-Fajardo, J., Suarez-Arrones, L., Arjol-Serrano, J.L., Casajus, J.A., & Mendez-Villanueva, A. (2015). Validity of the V-cut test for young basketball players. International Journal of Sports Medicine, 36(11), 893-899. https://doi.org/10.1055/s-0035-1554635
Edwards, W.H. (2010). Motor Learning and Control From Theory to Practice. California: Wadsworth.
Estivalet, M., & Springer, P. (2009). The Engineering of Sport. Paris: Springer-Verlag.
Jrgensen, T., Andersen, L.B., Froberg, K., Maeder, U.L., Smith, von H. & Aadahl, M. (2009). Position statement: Testing physical condition in a population – how good are the methods? European Journal of Sport Science, 9(5), 257-267. https://doi.org/10.1080/17461390902862664
Haake, S. (1996). The engineering of sport. Taylor & Francis.
Hardman, K, & Green, K. (2011). Contemporari issues in phisical education. Mayer & Mayer Verlag.
Hotra, Z, Mahlovanyy, A, Mykytyuk, Z, Ivakh, M, & Politanskyi, R. (2019). Schematic Realization of Flexible Algorithm in Treatment Diagnostic Devices. IEEE XVth International Conference on the Perspective Technologies and Methods in MEMS Design. https://doi.org/10.1109/MEMSTECH.2019.8817378
Hotra, Z., Mykytyuk, Z., Sushynskyy, O., Hotra, O., Yasynovska, O., & Kisała, P. (2010). Sensor systems with optical channel of information transferring. Przeglad Elektrotechniczny, 86(10), 21-23.
Ivashchenko, O.V. (2016). Pedagogical control of motor and functional fitness of girls 15-16 years. Teorìâ ta Metodika Fìzičnogo Vihovannâ, (3), 36-50. https://doi.org/10.17309/tmfv.2016.3.1171 (in Ukrainian).
Ivashchenko, O. & Khudolii, O. (2016). Methodological approaches to pedagogical control in the process of physical education of girls 12-14 years old. Teorìâ ta Metodika Fìzičnogo Vihovannâ, (4), 13-24. https://doi.org/10.17309/tmfv.2016.4.1175 (in Ukrainian).
Kok, M., Komen, A., L. van Capelleveen, & J. van der Kamp. (2020). The effects of self-controlled video feedback on motor learning and self-efficacy in a Physical Education setting: an exploratory study on the shot-put. Physical Education and Sport Pedagogy, 25(1), 49-66. https://doi.org/10.1080/17408989.2019.1688773
Koryagin, V., & Blavt, O. (2019). Innovative test control technologies in physical education and sports: a monograph. Lviv, Ukraine: Lviv Polytechnic Publishing House, 236.
Koryahin, V., & Blavt, O. (2018). The Use of Information and Communication Technology for Determining the Level Mobility in Joint in Physical Education of Students. Teorìâ ta Metodika Fìzičnogo Vihovannâ, 18(3), 107-113.
https://doi.org/10.17309/tmfv.2018.3.01
Koryahin, V., Blavt, O., & Ponomaryov, S. (2019). Innovative Intestification of Testing of Strength Endurance in Physical Education of Students With Chronic Diseases. Teorìâ ta Metodika Fìzičnogo Vihovannâ, 19(3), 116-122. https://doi.org/10.17309/tmfv.2019.3.02
Koryahin, V., Mukan, N., Blavt, O., & Virt, V. (2019). Students’ coordination skills testing in physical education: ICT application. Information Technologies and Learning Tools, 70(2), 216-226. https://doi.org/10.33407/itlt.v70i2
Lauber, B., & Keller, M. (2014). Improving motor performance: Selected aspects of augmented feedback in exercise and health. European Journal of Sport Science, 14(1), 36-43. https://doi.org/10.1080/17461391.2012.725104
Magill, R.A. (2007). Motor learning and control: Concepts and applications (8th ed.). McGraw-Hill International Edition.
Malaric, R. (2011). Instrumentation and Measurement in Electrical Engineering. BrownWalker Press. Boca Raton, Florida. USA.
Matiegka, J. (1991). The testing of physical efficiency. Amer. Journal of Physical Anthropology, 4(3), 125-134.
https://doi.org/10.1002/ajpa.1330040302
Mitchell, L.J.G., Pyne, D.B., Saunders, P.U. & Rattray, B. (2018). Reliability and validity of a modified 3-minute all-out swimming test in elite swimmers. European Journal of Sport Science, 18(3). https://doi.org/10.1080/17461391.2017.1413138
Mykytyuk, Z., Fechan, A., Shymchyshyn, O., Rudyi, A., Nazarenko, V., & Petryshak, V. (2012). Sensor network based on gas smart sensors for environmental monitoring. In Modern Problems of Radio Engineering, Telecommunications and Computer Science – Proceedings of the 11th International Conference, TCSET’2012, 503-504.
Reiman, M.P., & Manske, R.C. (2009). Functional testing in human performance. Champaign IL : Human Kinetics.
Preatoni, E., Hamill, J., Harrison, A.J., Hayes, K., Van Emmerik, R., Wilson, C. & Rodano, R. (2013). Movementvariability and skills monitoring in sports. Sports Biomechanics, 12(2), 69-92. https://doi.org/10.1080/14763141.2012.738700
Power, G.A., Handrigan, G.A. & Basset, F.A. (2012). Ventilatory response during an incremental exercise test: A mode of testing effect. European Journal of Sport Science, 12(6), 491-498. https://doi.org/10.1080/17461391.2011.573580
Schmidt, R.A., & Wrisberg, C.A. (2008). Motor Learning and Performance: A Situation-based Learning Approach. (I. Champaign, Ed.). Human Kinetics.
Silverman, S., Keating, X.D., & Phillips, S.R. (2008). A lasting impression: A pedagogical perspective on youth fitness testing. Measurement in Physical Education and Exercise Science, 12, 146-166.
https://doi.org/10.1080/10913670802216122
Shepard, N.T., & Janky, K. (2008). Background and technique of computerized dynamic posturography. San Diego, CA: Plural.
Starling, L.T., Nellemann, S., Parkes, A. & Lambert, M.І. (2020). The Fatigue and Fitness Test for Teams (FFITT): A practical option for monitoring athletes in a team as individuals. European Journal of Sport Science, 20(1), 106-114. https://doi.org/10.1080/17461391.2019.1612951
Stroot, S.A. (2014). Case Studies in Physical Education: Real World Preparation for Teaching. Routledge, 156.
Strohrmann, C., Harms, H., Kappeler-Setz, C., & Troster, G. (2012). Monitoring kinematic changes with fatigue in running using body-worn sensors. IEEE Transactions on Information Technology in Biomedicine, 16(5), 983-990. https://doi.org/10.1109 / TITB.2012.2201950
Olmos, A. M., Primicia, A. J., & Fernandez Marron, J. L. (2007) Simulation design of electrical capacitance tomography sensors. IET Science, Measurement & Technology, 1(4), 216-223. https://doi.org/10.1049/iet-smt:20060108
Thomas, J.R, Nelson, J.K, & Silverman, S.J. (2015). Research methods in physical activity, 7th ed. Champaign: Human Kinetics.
Wulf, G. & Lewthwaite, R. (2009). Conceptions of Ability Affect Motor Learning. Journal of Motor Behavior, 41(5), 461-467. https://doi.org/10.3200/35-08-083
Downloads
Published
How to Cite
Issue
Section
License
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).