GM1 ORO.FC.231(c) Evidence-based
training
TRAINING
SYSTEM PERFORMANCE — FEEDBACK PROCESS — METRICS
(a) Training metrics within the feedback
process are a valuable source of data. Typical metrics may include but are not
limited to:
(1) differences in success rates between
training topics;
(2) the trainees’ feedback (e.g. surveys),
which provides a different perspective as to the quality and effectiveness of
the training;
(3) instructor concordance assurance: this
system is important to measure the effectiveness of the instructor calibration
process. It is important to remind that the purpose of this system is not to
spy on instructors or to pressure individuals to change their grading;
(4) level 0 grading metrics (competent
metrics): Metrics examples: distribution of pilots not competent after the
SBT, distribution of pilots not competent in the EVAL and competent after the
SBT;
(5) level 1 grading metrics (competency
metrics): Metrics examples:
(i) distribution of level of performance
within the range of competencies;
(ii) differences in grades between aircraft
types;
(6) level 2 grading metrics (observable
behaviour metrics): e.g. in specific example scenario elements. Metrics
example: differences in displaying OBs between ranks of pilots;
(7) level 3 grading metrics (other metrics
such as data based on tasks): for instance, did the pilot calculate the
landing distance? Or, did the pilots make a call-out in a specific manoeuvre?
This level is usually linked to data collection of the SMS or EBT feedback
loop (e.g. was the call-out of the TCAS manoeuvre correct? ‘TCAS I have
control’). Metrics example: distribution of errors for various training
scenarios and aircraft types.
(8) during the simulator session, the operator
may consider the level of grading metrics that the instructor needs to
collect, taking into consideration the workload of the instructor.
(b) Training metrics are an invaluable
component in supporting an EBT programme, but they must be placed in the
context of operational data because only the latter can justify the importance
of specific training. For this purpose, data from the line evaluation of
competence is important to measure the effectiveness of the EBT programme in
operations. It may include data from the process for the monitoring of line
operations.
(c) Complex operators may, in the context of their safety management system, establish a safety action group dedicated to training: ‘training safety action group’. This may be a best practice to meet the implementing rule.
EASA aviation regulations emphasize using training metrics for evidence-based training (EBT). Performance data, trainee feedback, and instructor consistency are crucial. Grading metrics across competency levels, linked to operational data and safety management, improve training effectiveness and identify areas needing improvement.
* Summary by Aviation.Bot - Always consult the original document for the most accurate information.
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