Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Education
Testing Backward Chaining Ab-Initio Flight Instruction, Samuel M. Vance, Kat Gardner-Vandy Phd, Brendan A. Pearce
Testing Backward Chaining Ab-Initio Flight Instruction, Samuel M. Vance, Kat Gardner-Vandy Phd, Brendan A. Pearce
International Journal of Aviation, Aeronautics, and Aerospace
This conceptual/exploratory research updates that previously published in the Journal of Aviation/Aerospace Education and Research (JAAER) Vol. 30, Issue 1 (Spring 2021) which asked if backward chaining, ab-initio pilot training decrease time to first solo? The specific focus of the research was the viability of landings instruction as the first ab-initio lesson. The research compared a total of eight respondents in a backward-chained flight instruction methodology against four respondents in a forward-chained flight instruction methodology. All 12 respondents were recruited without previous flight instruction or Pilot-in-Command logged flight time. Ground instruction preceded simulator instruction which was followed by instruction in …
Using Conversation Analysis In Data-Driven Aviation Training With Large-Scale Qualitative Datasets, William A. Tuccio Ph.D., Maurice Nevile Ph.D.
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.