The purpose of this study was to examine the effectiveness of a video-self modelling intervention on the cycling standing start performance and selfefficacy beliefs of novice track cyclists. Nineteen participants from a Talent Identification Program were randomly assigned to one of two groups (Traditional and Intervention group). The traditional group received verbal augmented feedback, whereas the intervention group received a selfmodelling video intervention in addition to verbal augmented feedback.Analysis of post-test and retention test scores revealed that both groups improved their performances and self-efficacy beliefs over time, but no significant interaction or difference existed between the groups. Future research is recommended with longer interventions and an emphasis on the editing of technique errors from the self-modelling video.Key words: Augmented Feedback, Cycling, Observational Learning,
Self-Efficacy, Video Technology
INTRODUCTIONA powerful start from a stationary position is a critical skill in a number of track cycling events [1]. The majority of timed individual and team events on the track require the cyclist to start their race from a standing, stationary start. These timed events range in distance from 500 to 4000 m with maximum speeds of 65 km/hr and winning margins as small as 0.001 of a second (s). An efficient and powerful standing start has been shown to optimise the contribution of kinetic energy to overall race velocity and lead to an improvement in race performance [2], and is an essential skill that all track cyclists need to develop.Learning a new closed motor skill involves the development of coordination and control of both limb and body movements. The co-ordination and control needs to be developed in response to constraints of the particular task [3]. Previous research has shown that