Advancing training and transfer research through the application of nonlinear dynamics

ABSTRACT

The study of training transfer as something that occurs over time with its own underlying process has been very limited in the training literature to date. This paper argues that we can better understand how transfer unfolds over time, and why it unfolds in any particular way, by considering important theoretical and mathematical concepts from nonlinear dynamics. We draw on nonlinear concepts, such as attractors, to describe how and when training interventions are likely to succeed and how subsequent transfer may unfold in relation to those concepts. We then explicate how taking a dynamic view of transfer forces us to change how our field currently studies transfer methodologically, and then give an extended example of how such an advancement may provide for richer theories regarding the process of transfer by focusing on the effects of supervisor support over time. We close with some practical recommendations informed by our view.