Development of a higher-order instruction coding taxonomy for observational data: Initial application to professional driving instruction

Natalie Watson-Brown; Bridie Scott-Parker; T Senserrick

doi:10.1016/j.apergo.2018.02.016

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Development of a higher-order instruction coding taxonomy for observational data: Initial application to professional driving instruction

Journal article

Open access

Peer reviewed

Development of a higher-order instruction coding taxonomy for observational data: Initial application to professional driving instruction

Natalie Watson-Brown, Bridie Scott-Parker and T Senserrick

Applied Ergonomics, Vol.70, pp.88-97

2018

DOI: https://doi.org/10.1016/j.apergo.2018.02.016

PMID: 29866330

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Published Version

Abstract

coding reliability

driving instruction

higher order skills

driver training

reliability

safety engineering

taxonomies

driving instructors

higher-order

instruction coding

observational data

reliability assessments

self-determination theories

Development of a higher-order instruction taxonomy, informed by best practice in driver education (Goals for Driver Education) and self-determination theory (guiding teaching strategies), was tested. Inter-coder reliability was assessed by coding 93 data elements from 5-min clips from three driving instructors. Seventy-three instruction and 32 teaching approach codes were selected. Reliability between two independent coders was high (IOC = 94.6%). Application to data from 17 randomly-selected, 1-h lessons (n = 3 driving instructors) in a pilot study of professional learner driver lessons assessed taxonomy validity. Missed, taken, and untaken opportunities for higher-order instruction via 9 instruction and 19 teaching-approach categories were identified. Reliability assessment and taxonomy application demonstrates evidence to facilitate a comprehensive understanding of driving instruction content and quality, with implications for assessing and evaluating the impact of higher-order instruction in relation to driving and other safety-critical sectors requiring higher-order skills. © 2018 Elsevier Ltd

Details

Title: Development of a higher-order instruction coding taxonomy for observational data: Initial application to professional driving instruction
Authors: Natalie Watson-Brown (Author) - University of the Sunshine Coast - Faculty of Arts, Business and Law
Bridie Scott-Parker (Author) - University of the Sunshine Coast - Faculty of Arts, Business and Law
T Senserrick (Author) - UNSW Sydney
Publication details: Applied Ergonomics, Vol.70, pp.88-97
Publisher: Pergamon
Date published: 2018
DOI: 10.1016/j.apergo.2018.02.016
ISSN: 0003-6870
PMID: 29866330
Grants: Establishing safe driving practice: Improving young learner driver training, LP150100829, Australian Research Council (Australia, Canberra) - ARC
Organisation Unit: School of Social Sciences - Legacy; School of Law and Society; Sustainability Research Cluster
Language: English
Record Identifier: 99451364602621
Output Type: Journal article

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