Using conversation analysis in data-driven aviation training with large-scale qualitative datasets

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

Heuristics to Improve Human Factors Performance in Aviation

This paper reviews literature related to heuristic cognitive strategies as they are used by flight crews. A review of heuristic and naturalistic cognition is presented. An example set of heuristics and cognitive biases are presented and where possible exemplified by 19 airline accidents. The paper suggests two tentative research designs which could be pursued to quantitatively study heuristics and its impact on aviation decision making. The paper concludes that aviation pilot training would benefit by introducing pilots to the concepts and constructs of heuristic thinking

Collaborative Audio Transcription and Repair as a Method for Novice Pilots to Learn Approach Briefing Crew Resource Management (CRM) Skills

The growth of aviation in scope, scale, and complexity increases the demands for student learning, including crew resource management (CRM) skills. Instructor facilitated methods have proven effective for CRM skill learning. This study investigated a method of collaborative audio transcription and repair based learning (CTRBL) offering the potential for reduced demand upon instructor resources for CRM learning. The theorybased CTRBL method was used in this study as a way for novice pilots to learn the CRM skill of conducting a crew approach briefing with a focus on risk mitigation. Learning methods used to develop the CTRBL method were drawn from facilitated scenario-based training in aviation, instructional methods in language learning, and discourse analysis in aviation. The CTRBL method effectiveness was evaluated by a quasi-experimental method using 42 participants formed into 21 dyadic groups. The results suggest that CTRBL is a manageable, independent student activity that is perceived by learners to be nearly as enjoyable as comparable ground-based CRM learning methods. Participants self-rated their post-treatment crew briefings higher than their pre-treatment briefings, and subject matter experts rated post-treatment crew briefings higher than pre-treatment briefings, suggesting the CTRBL method resulted in learning. Recommendations are made for future applications and research of CTRBL

Improving Instructor Quality using the Conversation Analytic Role-play Method (CARM)

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 flight instructor teaching quality (see JAAER, 2017, 26 (1), Tuccio & Nevile). This research includes the collection and coding of over 100 hours of flight instruction video and audio by consenting pilots, and the subsequent identification of “trainable” interactional moments useful to current and prospective flight instructors. The audience will interactively participate in exemplary CARM training as it has been used at FAA Safety Team seminars. A small excerpt from one trainable follows. At line 21, a check instructor on an instrument stage check asks the student if they will get “positive sensing.” The long pause, throat clearing, and prosody of lines 22-24 make salient a misunderstanding. Through workshop role-play and discussion, instructors can identify the problem and decide how they may avoid a similar pitfall. 21 *INS: no:w are we gonna get (.) positive sensing, (.) on the CDI?22 (1.1)23 *STU: ((clears throat)) 24 *STU: positive sensing? 25 (0.5)26 *INS: yeah

Using conversation analysis in data-driven aviation training with large-scale qualitative datasets

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

Using conversation analysis in data-driven aviation training with large-scale qualitative datasets

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

Using conversation analysis in data-driven aviation training with large-scale qualitative datasets

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

Trans-heterozygosity for mutations enhances the risk of recurrent/chronic pancreatitis in patients with Cystic Fibrosis

Background: Recurrent (RP) and chronic pancreatitis (CP) may complicate Cystic Fibrosis (CF). It is still unknown if mutations in genes involved in the intrapancreatic activation of trypsin (IPAT) or in the pancreatic secretion pathway (PSP) may enhance the risk for RP/CP in patients with CF.Methods: We enrolled: 48 patients affected by CF complicated by RP/CP and, as controls 35 patients with CF without pancreatitis and 80 unrelated healthy subjects. We tested a panel of 8 genes involved in the IPAT, i.e. PRSS1, PRSS2, SPINK1, CTRC, CASR, CFTR, CTSB and KRT8 and 23 additional genes implicated in the PSP.Results: We found 14/48 patients (29.2%) with mutations in genes involved in IPAT in the group of CF patients with RP/CP, while mutations in such genes were found in 2/35 (5.7%) patients with CF without pancreatitis and in 3/80 (3.8%) healthy subjects (p < 0.001). Thus, we found mutations in 12 genes of the PSP in 11/48 (22.9%) patients with CF and RP/CP. Overall, 19/48 (39.6%) patients with CF and RP/CP showed one or more mutations in the genes involved in the IPAT and in the PSP while such figure was 4/35 (11.4%) for patients with CF without pancreatitis and 11/80 (13.7%) for healthy controls (p < 0.001).Conclusions: The trans-heterozygous association between CFTR mutations in genes involved in the pathways of pancreatic enzyme activation and the pancreatic secretion may be risk factors for the development of recurrent or chronic pancreatitis in patients with CF

Technological functionality of composite flours from sorghum, tapioca and cowpea

Composite flours from accessible raw materials may interest developing countries, cutting wheat import costs, bolstering domestic agriculture and boosting nutrition. Technological functionality (WHC and OHC, pasting, swelling and thermal properties) of composite tapioca, sprouted sorghum, cowpea and wheat flours (at 50%, 33% and 25% (w/w) flour basis) was evaluated. PCA revealed that, in a 50% w/w blend, sprouted sorghum and tapioca were technologically similar to wheat, and thus of interest when gluten's viscoelastic properties are not required (e.g. flatbread). Since cowpea flour can enhance nutrients, a flour from sprouted sorghum, tapioca and cowpea is preferable nutritionally and technologically, and potentially sustainable, its raw materials being available locally. Furthermore, PCA showed that composites of sprouted sorghum, tapioca, cowpea and wheat flours at 25% w/w offer a good compromise between technological and nutritional qualities, while reducing wheat imports and cassava post-harvest losses. These results may herald technologically satisfactory, nutritional, sustainable bakery products