Accelerating skill acquisition in rowing using self-based observational learning and expert modelling during performance

Ross Anderson; Mark J. Campbell

doi:10.1260/1747-9541.10.2-3.425

Accelerating skill acquisition in rowing using self-based observational learning and expert modelling during performance

Ross Anderson, Mark J. Campbell

Department of Physical Education & Sport Sciences

Research output: Contribution to journal › Article › peer-review

Abstract

The use of real-time feedback combining concurrent self-observation with real-time expert modelling (REM) was assessed in accelerating skill acquisition in rowing. The feedback combines a live video feed (concurrent self-observation) with a pre-recorded video of an expert (REM). Sixteen volunteers participated (20.8±1.7 years; Experimental group (E; n=8); Control group (C; n=8)). Technique (stroke length &stroke rate) and rowing outcome (overall distance &average power) data were obtained pre and post a seven-week intervention. Results illustrate significant changes in all parameters for Group E. Group C demonstrated significant changes in technique and no significant differences in outcome. The results indicate combining concurrent self-observation with REM has a positive effect on accelerating skill acquisition by enhancing outcome.

Original language	English
Pages (from-to)	425-437
Number of pages	13
Journal	International Journal of Sports Science and Coaching
Volume	10
Issue number	2-3
DOIs	https://doi.org/10.1260/1747-9541.10.2-3.425
Publication status	Published - Jun 2015

Keywords

Ergometer
Real-Time Video Feedback
Rowing Technique

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1260/1747-9541.10.2-3.425

Cite this

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Accelerating skill acquisition in rowing using self-based observational learning and expert modelling during performance

Abstract

Keywords

UN SDGs

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