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Educational Methods

Embry-Riddle Aeronautical University

CARM

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Full-Text Articles in Education

Improving Instructor Quality Using The Conversation Analytic Role-Play Method (Carm), William A. Tuccio Ph.D. Aug 2017

Improving Instructor Quality Using The Conversation Analytic Role-Play Method (Carm), William A. Tuccio Ph.D.

National Training Aircraft Symposium (NTAS)

The audience will learn about Stokoe’s Conversation Analytic Role-play Method (CARM) (http://www.carmtraining.org) and how it has been used to study and improve talk-in-interaction in professional settings. CARM is a proven, research-based methodology which collects large volumes of recorded audio and/or video particular to a professional setting and then uses detailed transcription and conversation analysis to identify systematic patterns of interaction and problems thereof. Actual excerpts from the dataset are appropriately anonymized and used by facilitators in a workshop setting to create authentic role-play.

The presentation will explain how CARM has been applied to help improve ...


Using Conversation Analysis In Data-Driven Aviation Training With Large-Scale Qualitative Datasets, William A. Tuccio Ph.D., Maurice Nevile Ph.D. Jan 2017

Using Conversation Analysis In Data-Driven Aviation Training With Large-Scale Qualitative Datasets, William A. Tuccio Ph.D., Maurice Nevile Ph.D.

Journal of Aviation/Aerospace Education & Research

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.