Incorporating Lessons Learned into the Army Competency Assessment Prototype
Karen O. Moriarty, Deirdre J. Knapp, Roy C. Campbell
Abstract
Karen O. Moriarty, Deirdre J. Knapp, Roy C. Campbell
Abstract
The PerformM21 research project addressed the Army's need to adapt to the requirements of operations in the 21st century. The Incorporting Lessons Learned into The Army Competency Assessment Prototype (Lessons Learned) analyses is a subpart of the PerformM21 work and is discussed in this report. Specifically, Lessons Learned is concerned with incorporating tasks and knowledges that emerged from recent deployments into the standard Army-wide Common Tasks hierarchy. To this end, a prototype job analysis survey and test blueprint were developed, resulting in a process that is transportable to an operational program. Lessons learned sources were located, and challenges noted with them were discussed (e.g., locating Army-approved doctrine). Finally, new items were developed based on this lessons learned content. These items, with further review and modification, could be used in an operational assessment.
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The PerformM21 research project addressed the Army's need to adapt to the requirements of operations in the 21st century. The Incorporting Lessons Learned into The Army Competency Assessment Prototype (Lessons Learned) analyses is a subpart of the PerformM21 work and is discussed in this report. Specifically, Lessons Learned is concerned with incorporating tasks and knowledges that emerged from recent deployments into the standard Army-wide Common Tasks hierarchy. To this end, a prototype job analysis survey and test blueprint were developed, resulting in a process that is transportable to an operational program. Lessons learned sources were located, and challenges noted with them were discussed (e.g., locating Army-approved doctrine). Finally, new items were developed based on this lessons learned content. These items, with further review and modification, could be used in an operational assessment.
Key concepts: Engineering, Engineering management, Computer science, Data science