Skip to main content
Log in

Development of a Skill Acquisition Periodisation Framework for High-Performance Sport

  • Review Article
  • Published:
Sports Medicine Aims and scope Submit manuscript

Abstract

Unlike physical training, skill acquisition does not currently utilise periodisation to plan, monitor and evaluate programs. Development of a skill acquisition periodisation framework would allow for systematic investigation into the acute and longitudinal effectiveness of such interventions. Using the physical training literature as a reference point, a skill-training periodisation framework was developed for use in high-performance sport. Previous research undertaken in skill acquisition was used to provide support for the framework. The specificity, progression, overload, reversibility and tedium (SPORT) acronym was adopted. Each principle was then re-conceptualised so that it related to relevant skill acquisition principles. Methods for the measurement and analysis of each principle are provided and future directions for the longitudinal assessment of skill acquisition are discussed. The skill acquisition periodisation framework proposed in this study represents an opportunity for the principles relating to skill acquisition training to be measured in a systematic and holistic manner. This can also allow for a more sophisticated evaluation of the efficacy of longitudinal training programmes and interventions designed for sustained skill enhancement.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Wattie N, Schorer J, Baker J. The relative age effect in sport: a developmental systems model. Sports Med. 2015;45:83–94.

    Article  PubMed  Google Scholar 

  2. Baker J, Farrow D. The Routledge handbook of sports expertise. London: Routledge; 2015.

    Google Scholar 

  3. Davids KW, Button C, Bennett SJ. Dynamics of skill acquisition: a constraints-led approach. Champaign: Human Kinetics; 2008.

    Google Scholar 

  4. Abernethy B. Training the visual-perceptual skills of athletes: Insights from the study of motor expertise. Am J Sports Med. 1996;24:S89–92.

    CAS  PubMed  Google Scholar 

  5. Williams AM, Ford PR. Promoting a skills-based agenda in Olympic sports: the role of skill-acquisition specialists. J Sports Sci. 2009;27:1381–92.

    Article  PubMed  Google Scholar 

  6. Wulf G, Shea CH. Principles derived from the study of simple skills do not generalize to complex skill learning. Psychon B Rev. 2002;9:185–211.

    Article  Google Scholar 

  7. Fleck SJ. Periodized strength training: a critical review. J Strength Cond Res. 1999;13:82–9.

    Google Scholar 

  8. Plisk SS, Stone MH. Periodization strategies. Strength Cond J. 2003;25:19–37.

    Article  Google Scholar 

  9. Kiely J. Periodization paradigms in the 21st century: evidence-led or tradition-driven. Int J Sports Physiol Perform. 2012;7:242–50.

    Article  PubMed  Google Scholar 

  10. Gamble P. Periodization of training for team sports athletes. Strength Cond J. 2006;28:56–66.

    Article  Google Scholar 

  11. Corcoran G, Bird S. Preseason strength training for rugby union: the general and specific preparatory phases. Strength Cond J. 2009;31:66–74.

    Article  Google Scholar 

  12. Ebben WP, Blackard DO. Developing a strength-power program for amateur boxing. Strength Cond J. 1997;19:42–51.

    Article  Google Scholar 

  13. Hodges N, Williams MA. Skill acquisition in sport: research, theory and practice. London: Routledge; 2012.

    Google Scholar 

  14. Gabbett TJ. GPS analysis of elite women’s field hockey training and competition. J Strength Cond Res. 2010;24:1321–4.

    Article  PubMed  Google Scholar 

  15. Impellizzeri FM, Rampinini E, Coutts AJ, et al. Use of RPE-based training load in soccer. Med Sci Sport Exerc. 2004;36:1042–7.

    Article  Google Scholar 

  16. Grout H, Long G. Improving teaching and learning in physical education. Maidenhead: McGraw-Hill Education; 2009.

    Google Scholar 

  17. American College of Sports Medicine. ACSM’s guidelines for exercise testing and prescription. Baltimore: Lippincott, Williams & Wilkins; 2013.

    Google Scholar 

  18. Reimer DJ. Physical Fitness Training. In: US-Army. Field Manual No 21–20, Volume 2. Washington DC: Headquarters Department of the Army; 1998. p. 241.

  19. Guadagnoli MA, Lee TD. Challenge point: a framework for conceptualizing the effects of various practice conditions in motor learning. J Motor Behav. 2004;36:212–24.

    Article  Google Scholar 

  20. Carson HJ, Collins D. Refining and regaining skills in fixation/diversification stage performers: the Five-A Model. Int Rev Sport Exerc Psychol. 2011;4:146–67.

    Article  Google Scholar 

  21. Vickers JN, Livingston LF, Umeris-Bohnert S, et al. Decision training: the effects of complex instruction, variable practice and reduced delayed feedback on the acquisition and transfer of a motor skill. J Sports Sci. 1999;17:357–67.

    Article  CAS  PubMed  Google Scholar 

  22. Stagno KM, Thatcher R, Van Someren KA. A modified TRIMP to quantify the in-season training load of team sport players. J Sports Sci. 2007;25:629–34.

    Article  PubMed  Google Scholar 

  23. Phillips E, Farrow D, Ball K, et al. Harnessing and understanding feedback technology in applied settings. Sports Med. 2013;43:919–25.

    Article  PubMed  Google Scholar 

  24. Abernethy B, Thomas KT, Thomas JT. Strategies for improving understanding of motor expertise (or mistakes we have made and things we have learned!!) In: Starkes JL, Allard F, editors. Cognitive issues in motor expertise. Amsterdam: Elsevier Publishers; 1993. p. 317–56.

  25. Henry FM. Specificity vs. generality in learning motor skill. In: Brown Jr, RC, Kenyon GS, editors. Classical studies in physical activity. Englewood Cliffs: Prentice-Hall; 1968. p. 328–31.

  26. Proteau L. On the specificity of learning and the role of visual information for movement control. In: Proteau L, Elliott D, editors. Vision and motor control. Amsterdam: Elsevier Science; 1992. p. 67–102.

    Chapter  Google Scholar 

  27. Proteau L, Marteniuk RG, Lévesque L. A sensorimotor basis for motor learning: evidence indicating specificity of practice. Q J Exp Psychol. 1992;44:557–75.

    Article  CAS  Google Scholar 

  28. Tremblay L. Visual information in the acquisition of goal-directed action. In: Elliott D, Khan M, editors. Vision and goal-directed movement neurobehavioral perspectives. Champaign: Human Kinetics; 2010. p. 281–91.

    Google Scholar 

  29. Pinder RA, Davids KW, Renshaw I, et al. Representative learning design and functionality of research and practice in sport. J Sport Exercise Psychol. 2011;33:146–55.

    Article  Google Scholar 

  30. Brunswik E. Perception and the representative design of psychological experiments. Los Angeles: University of California Press; 1956.

    Google Scholar 

  31. Davids K, Araújo D, Vilar L, et al. An ecological dynamics approach to skill acquisition: implications for development of talent in sport. Talent Dev Excell. 2013;5(1):21–34.

    Google Scholar 

  32. Newell KM. Constraints on the development of coordination. In: Wade MG, Whiting HTA, editors. Motor development in children: aspects of coordination and control. Boston: Martinus Nijhoff; 1986. p. 341–60.

    Chapter  Google Scholar 

  33. Davids K, Araújo D, Hristovski R, et al. Ecological dynamics and motor learning design in sport. In: Hodges NJ, Williams AM, editors. Skill acquisition in sport: research, theory & practice. London: Routledge; 2012. p. 112–30.

    Google Scholar 

  34. Barris S, Farrow D, Davids K. Representative learning design in springboard diving: is dry-land training representative of a pool dive? Eur J Sport Sci. 2013;13(6):638–45.

    Article  PubMed  Google Scholar 

  35. Casamichana D, Castellano J. Time–motion, heart rate, perceptual and motor behaviour demands in small-sides soccer games: effects of pitch size. J Sports Sci. 2010;28:1615–23.

    Article  PubMed  Google Scholar 

  36. Farrow D, Pyne D, Gabbett T. Skill and physiological demands of open and closed training drills in Australian football. Int J Sports Sci Coach. 2008;3:489–99.

    Article  Google Scholar 

  37. Pijpers JR, Oudejans RR, Bakker FC, et al. The role of anxiety in perceiving and realizing affordances. Ecol Psychol. 2006;18:131–61.

    Article  Google Scholar 

  38. Ericsson KA, Krampe RT, Tesch-Römer C. The role of deliberate practice in the acquisition of expert performance. Psychol Rev. 1993;100:363.

    Article  Google Scholar 

  39. Hambrick DZ, Oswald FL, Altmann EM, et al. Deliberate practice: is that all it takes to become an expert? Intelligence. 2014;45:34–45.

    Article  Google Scholar 

  40. Pollock CL, Boyd LA, Hunt MA, et al. Use of the challenge point framework to guide motor learning of stepping reactions for improved balance control in people with stroke: a case series. Phys Ther. 2014;94:562–70.

    Article  PubMed  Google Scholar 

  41. Coutts AJ, Reaburn PR, Murphy AJ, et al. Validity of the session-RPE method for determining training load in team sport athletes. J Sci Med Sport. 2003;6:525.

    Google Scholar 

  42. Foster C, Florhaug JA, Franklin J, et al. A new approach to monitoring exercise training. J Strength Cond Res. 2001;15:109–15.

    CAS  PubMed  Google Scholar 

  43. Lambert MI, Borresen J. Measuring training load in sports. Int J Sports Physiol Perform. 2010;5:406–11.

    Article  PubMed  Google Scholar 

  44. Lee TD, Swinnen SP, Serrien DJ. Cognitive effort and motor learning. Quest. 1994;46:328–44.

    Article  Google Scholar 

  45. Marcora SM, Staiano W, Manning V. Mental fatigue impairs physical performance in humans. J Appl Phys. 2009;106:857–64.

    Google Scholar 

  46. Nederhof E, Lemmink KA, Visscher C, et al. Psychomotor speed. Sports Med. 2006;36:817–28.

    Article  PubMed  Google Scholar 

  47. Magill RA, Hall KG. A review of the contextual interference effect in motor skill acquisition. Hum Mov Sci. 1990;9:241–89.

    Article  Google Scholar 

  48. Brady F. A theoretical and empirical review of the contextual interference effect and the learning of motor skills. Quest. 1998;50:266–93.

    Article  Google Scholar 

  49. Barreiros J, Figueiredo T, Godinho M. The contextual interference effect in applied settings. Eur Phys Educ Rev. 2007;13:195–208.

    Article  Google Scholar 

  50. Bryan WL, Harter N. Studies in the physiology and psychology of the telegraphic language. Psychol Rev. 1897;4:27–53. doi:10.1037/h0073806.

    Article  Google Scholar 

  51. Welford AT. Fundamentals of skill. London: Methuen; 1968.

    Google Scholar 

  52. Baker J, Young B. 20 years later: deliberate practice and the development of expertise in sport. Int Rev Sport Exerc Psychol. 2014;7:135–57.

    Article  Google Scholar 

  53. Kraemer WJ, Ratamess NA. Fundamentals of resistance training: progression and exercise prescription. Med Sci Sport Exerc. 2004;36:674–88.

    Article  Google Scholar 

  54. Magill R. Motor learning: concepts and applications, 8th ed. New York: McGraw Hill; 2006.

    Google Scholar 

  55. Doyon J, Korman M, Morin A, et al. Contribution of night and day sleep vs. simple passage of time to the consolidation of motor sequence and visuomotor adaptation learning. Exp Brain Res. 2009;195:15–26.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Walker MP, Brakefield T, Seidman J, et al. Sleep and the time course of motor skill learning. Learn Memory. 2003;10:275–84.

    Article  Google Scholar 

  57. Brawn TP, Fenn KM, Nusbaum HC, et al. Consolidating the effects of waking and sleep on motor-sequence learning. J Neurosci. 2010;30:13977–82.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Stone MH, O’Bryant H, Garhammer J. A hypothetical model for strength training. J Sport Med Phys Fit. 1981;21:342.

    CAS  Google Scholar 

  59. Bernstein N. The co-ordination and regulations of movements. Oxford: Pergamon Press; 1967.

    Google Scholar 

  60. Reed ES, Bril B. The primacy of action in development. In: Latash ML, Turvey MJ, editors. Dexterity and its development. Mahwah: Erlbaum; 1996. p. 431–51.

    Google Scholar 

  61. Glazier PS. Augmenting golf practice through the manipulation of physical and informational constraints. In: Renshaw I, Davids K, Savelsbergh G, editors. Motor learning in practice: a constraints-led approach. London: Routledge; 2010. p. 187.

    Google Scholar 

  62. Schmidt RA. A schema theory of discrete motor skill learning. Psychol Rev. 1975;82:225.

    Article  Google Scholar 

  63. Schollhorn WI, Beckmann H, Michelbrink M, et al. Does noise provide a basis for the unification of motor learning theories? Int J Sport Psychol. 2006;37:186.

    Google Scholar 

  64. Savelsbergh GJ, Kamper WJ, Rabius J, et al. A new method to learn to start in speed skating: a differential learning approach. Int J Sport Psychol. 2010;41:415.

    Google Scholar 

  65. Sanli EA, Patterson JT, Bray SR, et al. Understanding self-controlled motor learning protocols through self-determination theory. Front Psychol. 2013;3:611. doi:10.3389/fpsyg.2012.00611.

    Article  PubMed  PubMed Central  Google Scholar 

  66. Deci EL, Ryan RM. Intrinsic motivation and self-determination in human behavior. New York: Plenum; 1985.

    Book  Google Scholar 

  67. Gabbett TJ, Domrow N. Relationships between training load, injury, and fitness in sub-elite collision sport athletes. J Sports Sci. 2007;25:1507–19.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Damian Farrow.

Ethics declarations

Funding

No funding sources were used to assist in the preparation of this article.

Conflict of interest

Damian Farrow and Sam Robertson declare that they have no conflict of interest relevant to the content of this review.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Farrow, D., Robertson, S. Development of a Skill Acquisition Periodisation Framework for High-Performance Sport. Sports Med 47, 1043–1054 (2017). https://doi.org/10.1007/s40279-016-0646-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40279-016-0646-2

Keywords

Navigation