Using Conversation Analysis in Data-Driven Aviation Training with Large-Scale Qualitative Datasets
CARM, Transcription, Video, Audio, Flight Instruction
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.
Exemplar Radio Trainer (online supplement)
GiveStudentAChance_backdrop_rev2.mp4 (40563 kB)
Exemplar: Give a Student a Chance (online supplement)
DontTouchMyStuff_class_mockup_rev2.mp4 (155337 kB)
Exemplar: Don't Touch My Stuff (online supplement)
Scholarly Commons Citation
Tuccio, W. A.,
& Nevile, M.
Using Conversation Analysis in Data-Driven Aviation Training with Large-Scale Qualitative Datasets.
Journal of Aviation/Aerospace Education & Research, 26(1).
Adult and Continuing Education and Teaching Commons, Applied Linguistics Commons, Aviation Safety and Security Commons, Educational Methods Commons, Instructional Media Design Commons, Organizational Communication Commons