Recommendation System in an Integrated Digital Training Environment for the 5th Generation Air Force

Abstract

The Royal Netherlands Air Force (RNLAF) is currently transitioning to the 5th Generation Air Force. The transition involves changes in what is expected from personnel and will change the way of training. Therefore, the training strategy is moving towards a learning environment that is personalized, flexible and cost-efficient. Development of technology enables training organizations to gather learning data and train in various ways. However, integrating these new technologies make the future learning environment or ecosystem far more complex and introduce many other challenges. Currently, there is no framework on how to use learning analytics data to create a highly personalized learning environment. This paper describes a conceptual framework on how to create that mesh, how to determine the competency level of a learner and how to recommend the right learning tasks based on the learning needs. Next steps will include continued development and validation of the framework by application in various use cases.