Using Conversation Analysis in Data-Driven Aviation Training with Large-Scale Qualitative Datasets

Author(s)

William A. Tuccio Ph.D., National Transportation Safety BoardFollow
Maurice Nevile Ph.D., University of Southern DenmarkFollow

Volume

26

Issue

1

Key words

CARM, Transcription, Video, Audio, Flight Instruction

Abstract

This paper contributes to a growing body of work related to the Conversation Analytic Role-play Method (CARM) by studying the primary flight instruction environment to create training interventions related to radio communications and flight instruction practices. Framed in the context of conversation analysis, an approach to the detailed analysis of naturally occurring interaction, the large-scale, long-duration qualitative audio/video data collection and coding methodology is discussed, followed by trends identified in the ongoing study. The concept of CARM “trainables” are discussed with examples. The study shows that large-scale qualitative datasets may be leveraged to produce valuable data-driven training interventions.

First Page

1

Last Page

47

Scholarly Commons Citation

Tuccio, W. A., & Nevile, M. (2017). Using Conversation Analysis in Data-Driven Aviation Training with Large-Scale Qualitative Datasets. Journal of Aviation/Aerospace Education & Research, 26(1). DOI: https://doi.org/10.15394/jaaer.2017.1706