Adaptive e-learning for image analysts: an xAPI-driven performance framework

This paper explores the integration of Artificial Intelligence (AI) into adaptive assistance systems, focusing on e-learning applications for military image interpretation within the German Armed Forces. We propose a framework leveraging the Experience API (xAPI) to derive meaningful performance metrics by distinguishing between result performance and progress performance. The study addresses the implementation of Dynamic Difficulty Adjustment (DDA) in the serious game Spot-X, with the aim of enhancing engagement and training effectiveness. By introducing a multidimensional performance metric and modeling activity events as graphs, we provide a pathway for operationalizing adaptivity in military learning environments.