Just as existing infrastructure is maintained and enhanced, training programs can be revitalized by incorporating advanced capabilities for the future while preserving and leveraging past successes and investments. These legacy training programs have demonstrated intrinsic value over time and should not be discarded and replaced haphazardly in pursuit of developing new systems with advanced technologies and training methodologies. Instead by thoroughly understanding legacy systems and their implementation, developers can successfully adapt these systems and incorporate them using modern developmental frameworks. In general, these systems can be viewed from two perspectives: (1) an educational and (2) an implementation perspective. The former includes the content (and its delivery), assessments, feedback, and other learning artifacts. The latter includes the software systems and their implementations which store and allow users to access and interact with the aforementioned educational elements. This paper presents a novel training system framework designed to leverage legacy components as critical elements in support of accomplishing the following objectives: (1) enhance learning and assessment of demonstrable proficiencies through incorporation of a competency model and associated rubrics and protocols and (2) introduce a feedback loop that uses increasingly intelligent, actionable analytics to continuously support evolving program goals. Both of these goals are supported by balancing the educational and implementation perspectives while integrating a feedback loop with an adaptive inference engine which provides increasingly intelligent and relevant feedback and output. An example of the framework implementation will be presented by showing the evolution from the Navy Afloat Maintenance Training Strategy (NAMTS) program to the initial iteration of the Operationally Directed Instructional Network - Engineering Library (ODIN-EL). The paper will conclude with conclusions drawn from the framework development and implementation and directions for future work.