Coaching knowledge, learning and mentoring in the Australian Football League

Understanding the work of Senior and Assistant Coaches in the AFL is important to better develop the next generation of performance coaches. Hence the focus of this research was to examine the knowledge, competences and learning of senior and assistant coaches in the Australian Football League. Specifically, the research sought to understand the ways in which Senior and Assistant Coaches in the AFL have come to know their “craft” with the particular aim of enhancing future coaching practice. Performance coaching is generally regarded as a cognitive activity and therefore “getting inside the heads” of AFL coaches will assist in our understanding of the complex coaching work in which they are engaged. In-depth interviews provided coaches an opportunity to reflect on their practices and how they learned their craft. Fundamental to this research was an understanding that the AFL and each club within the league be regarded as learning organizations and workplaces where learning takes place. Moreover the process of mentoring is regarded as a central learning process and a significant factor contributing to improved professional coaching practice. This applied research aims to inform coach development in Australian football, the annual review process (quality of performance) of employed coaches, and the recruitment of coaches in the AFL. Improving the quality of coaching in the AFL will, in turn, improve the performance of the players and teams, and subsequently enhance the continued development and sustainability of the game.

New directions in coach education research

There has been substantial growth in the provision of, and importance attached to, coach education in many Western countries in particular, but there is also an emerging interest in the developing world (Gilbert & Trudel, 1999; Lyle, 2002). Yet this growth in interest has not resulted in a corresponding increase in research activity. Much of the focus of the existing coach education literature has been on coach development and learning (Cushion, Armour,& Jones, 2003; Malete et al, 2000; Sage, 1989; Weiss et al, 1991), coaching behavior and coach effectiveness training in the context of youth sports (Smith & Smoll, 1990; Smith, Smoll, & Barnett, 1995; Smoll et al.,1993) and the problems associated with the privileging of technical, tactical, and bio-scientific knowledges that have been characteristic features of much coach education provision (Abraham & Collins, 1998; Campbell, 1993; Potrac et al, 2000; Schempp, 2000). While this scholarship has provided valuable insights into some aspects of coach education, it underlines the absence of research addressing a range of topics such as the development of coach education curricula, the structures for coach learning, coaches’ learning processes and coach certification (Gilbert & Trudel, 2000). In this paper we discuss a new theoretical frame for coach education research centered on the idea of communities of practice.

Bayesian estimation of small effects in exercise and sports science

The aim of this paper is to provide a Bayesian formulation of the so-called magnitude-based inference approach to quantifying and interpreting effects, and in a case study example provide accurate probabilistic statements that correspond to the intended magnitude-based inferences. The model is described in the context of a published small-scale athlete study which employed a magnitude-based inference approach to compare the effect of two altitude training regimens (live high-train low (LHTL), and intermittent hypoxic exposure (IHE)) on running performance and blood measurements of elite triathletes. The posterior distributions, and corresponding point and interval estimates, for the parameters and associated effects and comparisons of interest, were estimated using Markov chain Monte Carlo simulations. The Bayesian analysis was shown to provide more direct probabilistic comparisons of treatments and able to identify small effects of interest. The approach avoided asymptotic assumptions and overcame issues such as multiple testing. Bayesian analysis of unscaled effects showed a probability of 0.96 that LHTL yields a substantially greater increase in hemoglobin mass than IHE, a 0.93 probability of a substantially greater improvement in running economy and a greater than 0.96 probability that both IHE and LHTL yield a substantially greater improvement in maximum blood lactate concentration compared to a Placebo. The conclusions are consistent with those obtained using a ‘magnitude-based inference’ approach that has been promoted in the field. The paper demonstrates that a fully Bayesian analysis is a simple and effective way of analysing small effects, providing a rich set of results that are straightforward to interpret in terms of probabilistic statements.