As militaries around the world adapt to an increasingly data-driven and interconnected digital battlespace, it is essential that training and simulation keep pace. This requires the careful and planned integration of technology, data analytics, and training pedagogy to support the ongoing development of soldiers, sailors, aircrew, trainers, and support personnel.
Beyond the intentional inclusion of emergent technology, training infrastructure, and skilled instructors, it also requires that the technological and human aspects of training be flexible enough to adapt to changes in training needs within the lifecycle of a training ecosystem. This is comprised of synthetic and physical training assets, standards, training materials, qualifications, and training infrastructure. Training should be as fluid as operations and must be rapidly adaptable and extensible in order to meet ever-evolving national and international needs.
Global events, particularly COVID-19, have changed the nature of training, accelerated the adoption of technologies such as Virtual Reality and Augmented Reality, and have clearly highlighted the benefits of distributed and remote training.
These technologies provide high levels of student engagement and retention, support distributed and remote training, greatly decrease infrastructure and travel costs, and allow for the continuance of training while deployed. Machine Learning and Artificial Intelligence will allow for the collection and analysis of student performance data and enable trainers to quickly identify student trends, stream students effectively, and identify high performing students and those who might require additional training.
Training models must be transformative, but not disruptive. Operations do not stop for training to catch up and training must accommodate current needs, while adapting quickly to accommodate new learning objectives.
Militaries know their needs and their people and industry has a responsibility to support the transition to new capabilities within the construct of in-place standards and training systems. Training must evolve from within. This model supports predictable force generation within current training constructs while also enabling the iterative insertion of enhanced training capability, engendering continual improvement, and supporting the seamless transition to new training models and technologies.
General Dynamics Mission Systems– Canada has over 70 years of experience working with militaries across all domains and has long been tracking and working with these emergent technologies.