Adaptative training provides opportunities to administer learning or training content to the right people at the right time. This form of training has many benefits including more rapid skill mastery, optimal challenge level or engagement. An instructional designer can adapt training through the content itself - such as creating a more difficult environment -providing autonomy to the trainee, or providing interface display features or feedback to assist trainees (Zahabi et al., 2020). Adaptive training can also take place within a training instance or across trainings. This presents many opportunities to intervene and improve training but should only be implemented on elements that serve the training goals and at the right time. Considering adaptive strategies can, in some instances, increase training time (Sampayo-Vargas et al., 2013) and at times may incur higher development costs, it is important to ensure that instructional designers aim to implement adaptive capabilities where value can be gained. In addition, newer technological advances in simulation technology, physiological sensors, and integration technology allow for the assessment of trainee states live and unobtrusively. We posit that these technologies can mitigate the potential negative impacts of adaptive training and instead provide the users with real-time adaptations and in meaningful ways to serve their training goals. This paper will discuss different methods and approaches for adapting training content and provide guidance for the right implementation of various adaptive strategies. A low-cost experimental adaptive research testbed will be presented, allowing for the exploration of different strategies for measuring and adapting content utilizing game-based development technology. Discussions of the benefits and shortfalls of different adaptive decision logics, criteria, and adapted content will provide training designers with guidance on which adaptive strategies to use, under what conditions, and how to implement these strategies in modern training environments.
Keywords
ADAPTIVE,BEST PRACTICES,FEEDBACK,METRICS,TRAINING
Additional Keywords