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Modelling learning in youth archery

Published online by Cambridge University Press:  08 October 2020

Tyler Skorczewski
Tyler Skorczewski*
Affiliation:
410 10th Avenue E. Menomonie, WI, USA 54751 e-mail: [email protected]
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Extract

The National Archery in the Schools Program (NASP) began in Kentucky, USA in 2002 and has rapidly expanded to thousands of students around the United States. The program teaches archery in physical education classes and organises tournaments for student archers in elementary school and high school. The program goals include improving student motivation, attention, behaviour, attendance and focus, as well as introducing students to an outdoor skill with the hope that this may increase attention to wildlife conservation efforts in the future.

Type
Articles
Information
The Mathematical Gazette , Volume 104 , Issue 561 , November 2020 , pp. 427 - 434
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Copyright
© Mathematical Association 2020

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References

Thurstone, L. L., The learning curve equation, Psychological Monographs 26 (1919) pp. 1–51.CrossRefGoogle Scholar
Meyer, M. F., Eppright, F. O., The equation of the learning function, The American Journal of Psychology 34(2) (1923) pp. 203–222, available at: http://www.jstor.org/stable/1413573Google Scholar
Ritter, F. E., Schooler, L. J., The learning curve, in International encyclopedia of the social and behavioural sciences. Amsterdam: Pergamon (2001) pp. 8602––8605.10.1016/B0-08-043076-7/01480-7CrossRefGoogle Scholar
Newell, K. M., Liu, Y. T., Mayer-Kress, G., Time scales in motor learning and development, Psychological Review, (2001) 108 pp. 57–82.CrossRefGoogle ScholarPubMed
Leibowitz, N., Baum, B., Enden, G., Karniel, A., The exponential learning equation as a function of successful trials results in sigmoid performance, Journal of Mathematical Psychology 54(3) (2010) pp. 338–340, available at: http://www.sciencedirect.com/science/article/pii/S0022249610000179 10.1016/j.jmp.2010.01.006CrossRefGoogle Scholar
Murre, J. M. J., S-shaped learning curves, Psychonomic Bulletin & Review 21(2) (2014) pp. 344–356, available at: http://dx.doi.org/10.3758/s13423-013-0522-0CrossRefGoogle ScholarPubMed
Delaney, P. F., Reder, L. M., Staszewski, J. J., Ritter, F. E., The strategy-specific nature of improvement: the power law applies by strategy within task, Psychological Science 9(1) (1998) pp. 1–7.10.1111/1467-9280.00001CrossRefGoogle Scholar
Gallistel, C. R., Fairhurst, S., Balsam, P., The learning curve: Implications of a quantitative analysis, Proceedings of the National Academy of Sciences of the United States of America 101(36) (2004) pp. 13124–13131 available at: http://www.pnas.org/content/101/36/13124.abstractCrossRefGoogle ScholarPubMed
Metropolis, N., Ulam, S., The Monte Carlo Method, Journal of the American Statistical Association 44(247) (1949) pp. 335–341.CrossRefGoogle ScholarPubMed
P, K. D., Tim, B., Thomas, T., I, B. Z., Why the Monte Carlo method is so important today, Wiley Interdisciplinary Reviews: Computational Statistics 6(6) (2014) pp. 386–392.Google Scholar
Love, O., Three of nation's top prep archers come from Eastern Iowa, Cedar Rapids Gazette (16 May 2016).Google Scholar
Coakley, J. J., Sports in society: issues and controversies, McGraw-Hill (2009).Google Scholar
Danish, S., Forneris, T., Hodge, K., Heke, I., Enhancing youth development through sport, World Leisure Journal 46(3) (2004) pp. 38–49.CrossRefGoogle Scholar