This paper represents a preliminary model of practiced stackable competencies to support the definition of a journeyman and master craftsman in real time.  Numerous competency models exist and are relatively static.  Our proposal is to inject real time proficiency data “sets and reps”, of the craftsperson into the competency model and provide a better representation of the skill level of the individual.

Most competency models rely on a one time proficiency demonstration. While this may be effective for a baseline of the journeyman or master craftsman this falls short in defining the true skill level of the individual.  Including documented sets and reps along with frequency of proficiency demonstration provides a more true analysis of the individual.  Consider a master craftsman who’s only qualification is a one time demonstration of the competency several years prior. We must consider the atrophy of a competency gained as time between mastery and repetition increases.  When was the last time the individual practiced the competency and have there been changes in the competency that makes the years old qualification out dated and potentially null and void? When should a master craftsman be down graded to journeyman? 

These questions can be answered through the use of artificial intelligence. The workforce data that is now available and easily obtainable can provide the necessary analytical data to gain a deeper definition of when proficiency of an individual competency is earned or, when it is lost.  Our proposed model and associated rubrics will inform on the number of sets and reps required to determine mastery of a competency.  The model will also determine a potential degradation cycle of competency proficiency. We will also recommend other competencies that are relatable and stackable to create a more realistic definition of a journeyman or master craftsman. 

 

Keywords
AI,ANALYTICS,COMPETENCY BASED TRAINING,HUMAN PERFORMANCE,LEARNER ANALYTICS,MODELING

Additional Keywords
Journeyman, Master Craftsman, Proficiency, proficiency degradation