year 9, Issue 3 (Autumn 2021)                   Ann Appl Sport Sci 2021, 9(3): 0-0 | Back to browse issues page


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Salih M M M, Hashim R S, Kasim M A. Forecasting Achievement Sports through Cooperative Learning in Handball Training in Physical Education. Ann Appl Sport Sci. 2021; 9 (3)
URL: http://aassjournal.com/article-1-953-en.html
1- College of Physical Education and Sport Sciences, University of Misan, Maysan, Iraq , dr.mohmmed@uomisan.edu.iq
2- College of Physical Education and Sport Sciences, University of Misan, Maysan, Iraq
3- Directorate of Misan Education, Ministry of Education, Iraq
Abstract:   (833 Views)
Background. This work studied 60 university students who were registered in two handball training classes in the second year of Physical Education and Sports Science throughout the academic year 2017 to 2018.
Objectives. It aims to identify the impact of two different training styles (cooperative and traditional) on players’ achievements and basic techniques in a handball learning unit.
Methods. Hence, the sample was divided into the control and experiment groups. The experiment group was subjected to the cooperative training technique, whereas the control group was subjected to the traditional training (teacher-cantered) technique. The complying instruments were used to collect learning design inventory, handball achievement tests, handball techniques, and assessment forms.
Results. The handball attitude scale revealed that cooperative training during a handball training class has a stronger link to students’ sporting activities achievements, class attitude, and exercise skills compared to traditional training. Results of players’ test range suggest that they prefer cooperative training.
Conclusions. This study can help researchers and practitioners conduct Cooperative Learning intervention programs Physical Education in Schools and Universities.
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APPLICABLE REMARKS
• Cooperative training provides our students with many meaningful learning opportunities, and the use of both models offers many advantages.
• We strongly believe that these models provide many advantages that a conventional method of training cannot offer.
• The repercussive is that student motivation can be enhanced and student conduct can be strengthened by the proper use of these models!
• Teachers must be prepared to make deliberate improvements to enhance the teaching and experience of their students. Teachers must also be encouraged and compensated for using these models.
• It is important to adapt and adjust our pedagogical approach where appropriate, and by adopting the cooperative training model in sports games, we can give our students many advantages that can have a positive effect on basic game skills.

Type of Study: Original Article | Subject: Physical Education Learning
Received: 2020/11/20 | Accepted: 2021/01/23 | Published: 2021/08/20 | ePublished: 2021/08/20

References
1. Wunderlich F, Memmert D. The Betting Odds Rating System: Using soccer forecasts to forecast soccer. PLoS One. 2018;13(6):e0198668. [DOI:10.1371/journal.pone.0198668] [PMID] [PMCID]
2. Stein M, Janetzko H, Seebacher D, Jäger A, Nagel M, Hölsch J, et al. How to Make Sense of Team Sport Data: From Acquisition to Data Modeling and Research Aspects. Data. 2017;2(1). [DOI:10.3390/data2010002]
3. Spann M, Skiera B. Sports forecasting: a comparison of the forecast accuracy of prediction markets, betting odds and tipsters. J Forecast. 2009;28(1):55-72. [DOI:10.1002/for.1091]
4. Razali N, Mustapha A, Utama S, Din R. A Review on Football Match Outcome Prediction using Bayesian Networks. J Physic Conf Series. 2018;1020(2). [DOI:10.1088/1742-6596/1020/1/012004]
5. Serrano J, Shahidian S, Sampaio J, Leite N. The importance of sports performance factors and training contents from the perspective of futsal coaches. J Hum Kinet. 2013;38:151-60. [DOI:10.2478/hukin-2013-0055] [PMID] [PMCID]
6. Ortega-Becerra M, Sigüenza-Iglesias JA, Asián-Clemente JA. Effects of 4-week training with balls of different weights on throwing velocity in handball players. J Physic Edu Sport. 2019;19(1):344-9.
7. Graham SR, Cormack S, Parfitt G, Eston R. Relationships Between Model Estimates and Actual Match-Performance Indices in Professional Australian Footballers During an In-Season Macrocycle. Int J Sports Physiol Perform. 2018;13(3):339-46. [DOI:10.1123/ijspp.2017-0026] [PMID]
8. Felsen P, Agrawal P, Malik J. What will Happen Next? Forecasting Player Moves in Sports Videos. 2017 IEEE International Conference on Computer Vision (ICCV)2017. p. 3362-71. [DOI:10.1109/ICCV.2017.362]
9. Soyiri IN, Reidpath DD. Evolving forecasting classifications and applications in health forecasting. Int J Gen Med. 2012;5:381-9. [DOI:10.2147/IJGM.S31079] [PMID] [PMCID]
10. Stekler HO, Sendor D, Verlander R. Issues in sports forecasting. Int J Forecast. 2010;26(3):606-21. [DOI:10.1016/j.ijforecast.2010.01.003]
11. Yang YS. Predicting Regular Season Results of NBA Teams Based on Regression Analysis of Common Basketball Statistics: University of California at Berkeley; 2015.
12. Garfield J. Teaching Statistics Using Small-Group Cooperative Learning. J Stat Edu. 2017;1(1):12-28. [DOI:10.1080/10691898.1993.11910455]
13. Hammar Chiriac E. Group work as an incentive for learning - students' experiences of group work. Front Psychol. 2014;5:558. [DOI:10.3389/fpsyg.2014.00558] [PMID] [PMCID]
14. Hammouri W, Ay K, Al-Dababseh M. Impact of mastery cooperative learning strategy and individual inquiry on attaining the technical aspects of the stages of shot put and digital achievement using the linear method among the students of the University of Jordan. J Physic Edu Sport. 2016;16(1):50.
15. Simsek A, Balaban J. Learning Strategies of Successful and Unsuccessful University Students. Contemporary Edu Tech. 2010;1(1):294-310. [DOI:10.30935/cedtech/5960]
16. Huang C-Y. The effects of cooperative learning and model demonstration strategies on motor skill performance during video instruction. Proceed Nat Sci Council. 2000;2:255-68.
17. Casey A, MacPhail A. Adopting a models-based approach to teaching physical education. Physic Edu Sport Pedagogy. 2018;23(3):294-310. [DOI:10.1080/17408989.2018.1429588]
18. Antonis M, Dimitris H, Zacharoula P, Vasilis S, Ioannis VS. Analyses of technical and tactical data in attack and defense at high level handball teams. Journal of Physical Education and Sport. 2019;19(1):193-200.
19. Evhen P, Valeria T. Peculiar properties and dynamics of physiological indicators in Handball team. J Physic Edu Sport. 2017;17(1):335.
20. Nouatin BK, Gouthon P, Messan F, Dansou PH, Amoussou-Guénou D, Nigan IB, et al. Context of handball practice and level of integration of fitness capacities to training schedules among players in southern Benin. J Physic Edu Sport. 2014;14(3):371.
21. Broch TB. Norwegian handball and gender: Towards a cultural sociology of sport: Norwegian School of Sport Sciences; 2014.
22. Madalina-Gabriela P, Ion M. Study on the improvement of coordinating capabilities at the level of handball teams (junior III), with the optimization of the technical-tactical potential. J Physic Edu Sport. 2018;18:2106.
23. Wihlborg M, Robson S. Internationalisation of higher education: drivers, rationales, priorities, values and impacts. Europ J Higher Edu. 2017;8(1):8-18. [DOI:10.1080/21568235.2017.1376696]
24. Fyall G, Metzler MW. Aligning Critical Physical Education Teacher Education and Models-Based Practice. Physic Edu. 2019;76(1):24-56. [DOI:10.18666/TPE-2019-V76-I1-8370]
25. Jung H, Choi E. The importance of indirect teaching behaviour and its educational effects in physical education. Physic Edu Sport Pedagogy. 2014;21(2):121-36. [DOI:10.1080/17408989.2014.923990]
26. Cecchini Estrada JA, Gonzalez Gonzalez-Mesa C, Llamedo R, Sanchez Martinez B, Rodriguez Perez C. The impact of cooperative learning on peer relationships, intrinsic motivation and future intentions to do sport. Psicothema. 2019;31(2):163-9.
27. Walker E, Johnson IL. Using Best Practices when Implementing the Cooperative-Learning Theory in Secondary Physical Education Programs. Strategies. 2018;31(4):5-11. [DOI:10.1080/08924562.2018.1465870]
28. Ruiz-Montero PJ, Chiva-Bartoll O, Salvador-García C, González-García C. Learning with Older Adults through Intergenerational Service Learning in Physical Education Teacher Education. Sustainability. 2020;12(3). [DOI:10.3390/su12031127]
29. Invernizzi P, Crotti M, Bosio A, Cavaggioni L, Alberti G, Scurati R. Multi-Teaching Styles Approach and Active Reflection: Effectiveness in Improving Fitness Level, Motor Competence, Enjoyment, Amount of Physical Activity, and Effects on the Perception of Physical Education Lessons in Primary School Children. Sustainability. 2019;11(2):405-20. [DOI:10.3390/su11020405]
30. Bores-Garcia D, Hortiguela-Alcala D, Fernandez-Rio FJ, Gonzalez-Calvo G, Barba-Martin R. Research on Cooperative Learning in Physical Education. Systematic Review of the Last Five Years. Res Q Exerc Sport. 2020:1-10. [DOI:10.1080/02701367.2020.1719276] [PMID]
31. Erdogan F. Effect of Cooperative Learning Supported by Reflective Thinking Activities on Students' Critical Thinking Skills. Eurasian J Edu Res. 2019;19(80):1-24. [DOI:10.14689/ejer.2019.80.5]
32. Gambari AI, Yusuf MO. Relative effectiveness of computer-supported Jigsaw II, STAD and TAI cooperative learning strategies on performance, attitude, and retention of secondary school students in physics. J Peer Learn. 2017;10(1):76-94.
33. Kasim MA, Abed AZ, Sameer SA, Othman AT. Predicting Effect Implementing the Jigsaw Strategy on the Academic Achievement of Students in Mathematics Classes. Intl Electronic J Math Edu. 2019;15(1). [DOI:10.29333/iejme/5940]
34. Tarp J, Domazet SL, Froberg K, Hillman CH, Andersen LB, Bugge A. Effectiveness of a School-Based Physical Activity Intervention on Cognitive Performance in Danish Adolescents: LCoMotion-Learning, Cognition and Motion - A Cluster Randomized Controlled Trial. PLoS One. 2016;11(6):e0158087. [DOI:10.1371/journal.pone.0158087] [PMID] [PMCID]
35. Barrett T. Effects of Cooperative Learning on Performance of Sixth-Grade Physical Education Students. J Teachn Physic Edu. 2005;24(1):88-102. [DOI:10.1123/jtpe.24.1.88]
36. Castillo AV, Bartoll OC, Peris CC. Aprendizaje comprensivo-cooperativo en la enseñanza del balonmano: Efectos sobre el clima motivacional. e-balonmano com: Revista de Ciencias del Deporte. 2017;13(1):53-66.
37. Lafont L. Cooperative learning and tutoring in sports and physical activities. Cooperative learning in physical education: A research based approach: Routledge; 2012. p. 136-49.
38. Oliveira LS, De Oliveira WRF, De Carvalho Filho JJ, Borges CJ, De Oliveira GL, De Oliveira TAP, et al. Cooperative games as a pedagogical strategy for decreasing bullying in physical education: notable changes in behavior. J Physic Edu Sport. 2017;17(3):1054-60.
39. Huang M-Y, Tu H-Y, Wang W-Y, Chen J-F, Yu Y-T, Chou C-C. Effects of cooperative learning and concept mapping intervention on critical thinking and basketball skills in elementary school. Think Skills Creativity. 2017;23:207-16. [DOI:10.1016/j.tsc.2017.01.002]
40. Legrain P, Escalié G, Lafont L, Chaliès S. Cooperative learning: a relevant instructional model for physical education pre-service teacher training? Physic Edu Sport Pedagogy. 2018;24(1):73-86. [DOI:10.1080/17408989.2018.1561838]
41. Shang Y, editor Analysis of Athletes' Physiological Arousal Stimulation Strategies in Sports Competition Based on Cooperative Learning Theory. International Workshop on Advances in Social Sciences; 2019; China.
42. Wallhead T, Dyson B. A didactic analysis of content development during Cooperative Learning in primary physical education. Europ Physic Edu Rev. 2016;23(3):311-26. [DOI:10.1177/1356336X16630221]
43. Cañabate D, Garcia-Romeu ML, Menció A, Nogué L, Planas M, Solé-Pla J. Cross-Disciplinary Analysis of Cooperative Learning Dimensions Based on Higher Education Students' Perceptions. Sustainability. 2020;12(19). [DOI:10.3390/su12198156]
44. Gillies R. Cooperative Learning: Review of Research and Practice. Australian J Teach Edu. 2016;41(3):39-54. [DOI:10.14221/ajte.2016v41n3.3]
45. Hojo M, Fujii K, Inaba Y, Motoyasu Y, Kawahara Y. Automatically recognizing strategic cooperative behaviors in various situations of a team sport. PLoS One. 2018;13(12):e0209247. [DOI:10.1371/journal.pone.0209247] [PMID] [PMCID]
46. Bodsworth H, Goodyear VA. Barriers and facilitators to using digital technologies in the Cooperative Learning model in physical education. Physic Edu Sport Pedagogy. 2017;22(6):563-79. [DOI:10.1080/17408989.2017.1294672]
47. Dyson B, Strachan K. The ecology of cooperative learning in a high school physical education Pprogramme. Waikato J Edu. 2016;10(1). [DOI:10.15663/wje.v10i1.335]
48. McMaster KL, Lembke ES, Shin J, Poch AL, Smith RA, Jung P-G, et al. Supporting teachers' use of data-based instruction to improve students' early writing skills. J Edu Psychol. 2020;112(1):1. [DOI:10.1037/edu0000358]

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