نوع مقاله : مطالعه پژوهشی اصیل

نویسندگان

1 رفتار حرکتی دانشکده تربیت بدنی و علوم ورزشی دانشگاه الزهرا تهران ایران

2 دانشگاه یزد

چکیده

هدف پژوهش حاضر بررسی تاثیر آموزش راهبردهای شناختی و فراشناختی در شرایط دشواری تصمیم بر دقت ضربة فورهند تاپ اسپین تنیس روی میز بود. شرکت کنندگان 29 بازیکن مرد ماهر با میانگین سنی 24/9±20/21 سال بودند که به صورت تصادفی به سه گروه راهبردهای فراشناختی، راهبردهای شناختی و کنترل تقسیم شدند. دشواری تصمیم با توجه به رنگ توپ و محل ضربه فورهند تاپ اسپین مشخص شد. آزمودنی­ها در مرحلة پیش­آزمون و سپس در مرحله اکتساب 15 بلوک 20 کوششی را تمرین کردند، پس از 48 ساعت در آزمون‌های یادداری و انتقال شرکت کردند. داده­ها در مرحلة اکتساب با استفاده از آزمون تحلیل واریانس یک راهه با اندازه‌ های تکراری و برای آزمون‌های یادداری و انتقال از تحلیل واریانس یک راهه استفاده شد. نتایج تفاوت معناداری را در گروه تمرینی که از راهبردهای فراشناختی بهره گرفتند نسبت به سایر گروه­ها در مراحل یادداری و انتقال نشان داد. این یافته­ها نشان می­دهد استفاده از راهبردهای فراشناختی بر پیشرفت  اجرای مهارت­هایی که از دشواری تصمیم برخوردارند، موثر است.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

The Effects of Instruction of Learning Strategies and Difficulty of Decision Making on the Accuracy of Forehand Top Spin in Table Tennis

نویسندگان [English]

  • Rosa Rahavi Ezabadi 1
  • Mohhamd reza sadeghian shahi 2
  • Elham Rezaei 2

1 Motor Behavior, Physical Education, Alzahra university, Tehran, Iran

2 yazd university

چکیده [English]

The purpose of  the present  study was to determine the effects of cognitive and meta-cognitive strategies in difficulty of decision  making on the accuracy of forehand top spin in table tennis. The 29 skilled male players with 21.20±9.24 years old were divided into 3 Meta cognitive strategies (MCS), groups cognitive strategies (CS), and control group. The level of difficulty of decision  making was determined by colour of ball and impact place during forehand top spin. Pre-test was performed and then, subjects  practiced 15 blocks of 20 trials in during the acquisition phase, after 48 hours, the retention and transfer tests were  performed. The data in acquisition phase were analyzed by ANOVA with repeated  measures, and  retention and transfer tests were analyzed by one-way ANOVA. The results showed that there is a significant difference between the meta cognitive strategies group and other groups in retention and transfer phases. The findings suggested that applying meta-cognitive strategies could help to improve skills which requires  difficulty of decision  making.

کلیدواژه‌ها [English]

  • Meta-Cognitive Strategies
  • Cognitive Strategies
  • Difficulty of Decision Making
  • Table Tennis
  1. Agustiani, H., Cahyad, S., & Musa, M. (2016). Self-efficacy and Self-Regulated learning as Predictors of Students Academic Performance. The Open Psychology Journal, 9 (1), 1-6.
  2. Baker, L., & Brown, A. L. (1984). Metacognitive skills and reading. Handbook of reading research, 1 (353), V394.
  3. Bandura, A. (2006). Guide for constructing self-efficacy scales. Self-efficacy beliefs of adolescents, 5 (307-337).
  4. Bhattacharya, S., Neelam, N., & Tanksale, D. (2016). Relationship between self-regulated learning strategy and motivation of management students. International Journal of Innovation and Learning, 19 (2), 125-149.
  5. Cohen, A. (2003). strategy training for second language  earners. Center for Advanced Research on Language  Acquisition. University of Minnesota: Eric Digest
  6. Coutinho, S., Hastings, K., Skowronski, J. and Britt, M. (2005). Metacognition, need for cognition and use of explanations during ongoing learning and problem solving. Learning and Individual Differences, 15: 321 – 337.Cleary, T. J., Zimmerman, B. J., & Keating, T. (2006). "Training physical education students to self-regulate during basketball free throw practice. Research quarterly for exercise and sport, 77 (2), 251-262.Dabbagh, N., Kitsantas, A., Al-Freih, M., & Fake, H. (2015). Using social media to develop personal learning environments and self-regulated learning skills: a case study. International Journal of Social Media and Interactive Learning Environments, 3 (3), 163-183.
  7. DiBenedetto, M. K., & Zimmerman, B. J. (2013). Construct and predictive validity of micro analytic measures of students' self-regulation of science learning. Learning and Individual Differences, 26, 30-41.
  8. Flavell, J. H. (1976). Metacognitive aspects of problem solving. The nature of intelligence, 12, 231-235.
  9. Guadagnoli MA, Lee TD. (2004). Challenge point: a framework for conceptualizing the effects of various practice conditions in motor learning. Journal of motor behavior
  10. ; 36 (2):212-24.
  11. Kazemi, F., Yektayar, M., & Abad, A. M. B. (2012). Investigation the impact of chess play on developing meta-cognitive ability and math problem-solving power of students at different levels of education. Procedia-Social and Behavioral Sciences, 32, 372-379.
  12. Kolovelonis, A., Goudas, M., & Dermitzaki, I. (2011). The effect of different goals and self-recording on self-regulation of learning a motor skill in a physical education setting. Learning and Instruction, 21 (3), 355-364.
  13. Lau, C., Kitsantas, A., & Miller, A. (2015). Using Microanalysis to Examine how Elementary Students Self-regulate in Math: A Case Study. Procedia-Social and Behavioral Sciences, 174, 2226-2233.
  14. Leins, J. E. (2011). Self- regulated strategy instruction with the self- regulation micro- analytic assessment and attribution training in high school students with learning disabilities. (Unpublished master's thesis). George mason university, Fairfax, us.
  15. Magill RA., (2017). Motor learning and control. Concepts and Applications. 11th Edition, New York, McGraw - Hill.
  16. Marofi Y,Kord noghaei R,Saed Mocheshi L, (2014).The effectiveness of instructing cognitive and metacognitive strategies on academic achievement in experimental science lesson.Biquarterly Journal of cognitive Strategies In learning;2 (2):83-96. In Persian
  17. Masters R, Poolton JM, Maxwell JP, Raab M. (2008). Implicit motor learning and complex decision making in time-constrained environments. Journal of motor behavior, 40 (1), pp: 71-79.
  18. Matuga, M. J. (2009). Self- regulation, goal orientation, and academic achievement of secondary students in online university courses. Educational Technology & Society, 12 (3), 4- 11.
  19. Moghadam, M. G., & Zadkhosh, S. M. (2016). The effect of competitive anxiety and complexity of task on the processing efficiency and performance effectiveness of table-tennis players. Research Quarterly for Exercise and Sport, 87 (S1), S100.
  20. Niemi, H. & Launonen, A. (2010). Towards self-regulation and social navigation in virtual learning spaces. European Conference on Educational Research, University of Lisbon. 11-14 Sep. 2002
  21. Padulo, J., Pizzolato, F., Tosi Rodrigues, S., Migliaccio, G. M., Attene, G., Curcio, R., & Zagatto, A. M. (2016). Task complexity reveals expertise of table tennis players. The Journal of sports medicine and physical fitness, 56 (1-2), 149-156.
  22. Parviz K, Sharifi M. (2011). Relationship between cognitive and metacognitive strategies and educational success in urban and rural high school students. Iranian Quarterly of Education Strategies; 4 (1):1-6. In Persian
  23. Pintrich, P.R., & DeGroot, E.V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82, 33-40.
  24. Rahavi R, Aslankhani M, Abdoli B, Vahabzade A. (2009). The Effects of Scheduled Practices (Self-Regulated and Non-Self-Regulated) on Learning of Simple and Complex Tracking Tasks. Journal of Development and Motor Learning 1 (2):65-85. In Persian
  25. Rahavi R, Shojaei M, Estiri Z, Naghizadeh H. (2013).The effect of two types of interference before performance and during performance on learning of generalized motor program and parameter in basketball fundamental skills. Development and Motor Learning; 5 (2):107-124. In Persian
  26. Rahavi Ezabadi R, fallah Yakhdani h, Moshiri P. (2017) Comparing of Self-Regulated Learning Strategies on the Learning of Volleyball Service. Motor Behavior. 9 (28):155-72. In Persian
  27. Rahmanian z, Vaez Mousavi M. (2014). Psychometric Properties of the Metacognition Applied to Physical Activity Scale. Journal of Sport Psychology Studies; 9 (3):11-26. In Persian
  28. Sadeghian shahi M, Rahavi R, Abootalebi N, Moshiri P, editors. (2017). The Effects of the Self-Talk Types and Task Complexity on the ". 15th ITTF Sports Science Congress Düsseldorf; Germany.
  29. Seif, A, A. (2015).Modern educational Psychology. “Psychology of learning and Instruction, 7 th Edition, Doran Tehran. In Persian
  30. Settanni, M., Magistro, D., & Rabaglietti, E. (2012)." Development and preliminary validation of an instrument to measure metacognition applied to physical activity during early adolescence". Cognition, Brain, Behavior. An Interdisciplinary Journal, 16 (1), 67-87.
  31. Simon, D.A., & Bjork, R.A (2001) Meta cognition in motor learning. Journal of experimental psychology: Learning memory cognition, 27, PP: 907-912.
  32. Shannon, S. V. (2008); Using Metacognitive Strategies and Learning Styles to Create Self- Directed Learners. Journal of Institute for Learning Styles.1: 14-28
  33. Temur, T., Kargin, T., Bayar, A, S. & Bayar, V. (2010); Metacognitive awareness of grades 6, 7 and 8 students in reading process. Procardia Social and Behavioral Sciences 2: 4193–4199
  34. Tepper,G.,Olvech,l.(2013); ITTF-IPTTC Level 1 Coaching Manual (Table Tennis Coaching), International table tennis &para table tennis press,1th edition
  35. Todd, T. (1988). A Comparison of Metacognitive and Procedural Knowledge of Ball Catching by Physically Awkward and Non-Awkward Children. a Thesis Submitted to The Faculty of Graduate Studies in Partial Fulfillment of The Requirements for The Degree of Master of Arts (Education), Mcgill University,40-75.
  36. Veenman, M, V, J. & Spaans. M. A. (2005); Relation between intellectual and metacognitive skills: Age and task differences. Learning and Individual Differences. 15: 159–176.
  37. Zimmerman, B. J. (1996). Enhancing student academic and health functioning: A self-regulatory perspective. School Psychology Quarterly, 11 (1), 47.
  38. Zimmerman, B. J. (2008). Investigating self-regulation and motivation: Historical background, methodological developments, and future prospects. American Educational Research Journal, 45 (1), 166-183.
  39. Zimmerman, B. J. (2013). From Cognitive Modeling to Self-Regulation: A Social Cognitive Career Path. Educational Psychologist, 48 (3), 135-147.
  40. Zimmerman, BJ. (2015). Self- regulated learning: Theories, Measures, and outcomes, University of New York, NY, USA.