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Record W2051680610 · doi:10.1108/jwl-07-2014-0055

Optimizing a workplace learning pattern: a case study from aviation

2015· article· en· W2051680610 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Workplace Learning · 2015
Typearticle
Languageen
FieldPsychology
TopicHuman-Automation Interaction and Safety
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsDebriefingSession (web analytics)WorkloadAviationFlight simulatorApplied psychologyComputer scienceVariety (cybernetics)FidelityPsychologySimulationEngineeringSocial psychology

Abstract

fetched live from OpenAlex

Purpose – This study aims to contribute to current research on team learning patterns. It specifically addresses some negative perceptions of the job performance learning pattern. Design/methodology/approach – Over a period of three years, qualitative and quantitative data were gathered on pilot learning in the workplace. The instructional modes included face-to-face classroom-based training; pilots assessing pre-recorded videos in classroom-based training; pilots assessing videos with fellow pilot of similar rank (paired training); pilots undertaking traditional 4-hour simulator session with 1-hour debriefing using a variety of technologies for replaying the simulator session; and pilots undertaking 2-hour simulator sessions with extended 3-hour debriefing utilizing simulator replay video. Findings – Although traditional classroom-based, face-to-face instruction was viewed as acceptable, pilots who critically assessed the practice of other pilots in pre-recorded videos felt empowered by transferring classroom instruction to the workplace. The study also establishes a need to determine the correct balance between high-workload simulator training and low-workload debriefing. Research limitations/implications – A move towards developing a typology for workplace learning patterns was viewed negatively if job performance was the focus. However, pilot practitioners felt empowered when provided with the right mix of performance-oriented learning opportunities, especially when these provided an appropriate mix of high-fidelity simulations with time for reflection on practice. Practical implications – By focusing on one learning pattern – job performance – the paper demonstrates the benefits of learning via a variety of instructional modes. Whereas aviation has a unique workplace environment, many other high- and low-risk industries are acknowledging the impact of technical and non-technical skills on job performance. This may suggest that findings from this study are transferable across a broader range of workplace settings. Originality/value – The findings demonstrate that broadening research across many professional workplace settings may assist in developing a more robust framework for the micro-organization of each workplace learning pattern.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.544
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.364
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it