THE IMPACT OF VARIABILITY IN OBSERVATIONAL PRACTICE ON SKILL LEARNING: THEORETICAL AND APPLIED CONSIDERATIONS

Abstract

There is strong evidence that certain neurophysiological processes link action and observation (Higuchi et al., 2012), which supports the idea that learning a motor skill is enhanced via skill observation (Hayes et al., 2010). Skill learning through observation is optimized when the observation includes a combination of expert and novice models (Rohbanfard and Proteau, 2011). The purported advantage lies in the two types of models’ dissimilar ability (Andrieux & Proteau, 2013). The novice model is characterized by larger margins of error that manifest as variable attempts. Increased variability has been shown to be beneficial in physical practice (Moxley, 1979). The purpose of the first study was to examine the observation of novice variability effect to explore whether it is Schmidt’s (1975) generalized motor programs or schema parameterization representations that is acquired when observing modeled performances. Participants engaged in an observational period in which they observed a criterion model with no variability, a model demonstrating absolute timing variability, a model demonstrating relative timing variability, or a model demonstrating variability in both relative and absolute timing. The results indicate that variability in relative timing information contributes to observational learning, which suggests that generalized motor programs are acquired through observation but not schematic parameterizations. The purpose of the second study was to apply the Rohbanfard and Proteau (2011) paradigm in the medical education context by exploring the impact of video-based observational practice on the clinical learning. First year medical students learned a common surgical skill by observing expert demonstrations of the skill, novice demonstrations, or demonstrations by both an expert and novice model. The study demonstrated a robust effect of observational learning in that all groups improved over time regardless of the type of model they observed. Both studies highlight that an expert model may be the most beneficial when engaging in observational practice.