Within the health sector, the effectiveness is a key factor for the deployment of Serious Games for training purposes. Engagement is central factor relating games and learning. Therefore, identifying player’s level of engagement is an important aspect to consider when assessing Serious Games effectiveness. This paper describes an approach to identify player’s engaged-behaviours based on users interaction traces. A trace is a history of users’ actions collected in real-time during their inter- action with a computer system. The process of identifying the level of engagement consists in transforming low-level behaviours (e.g. clicks) in contextualized high-level behaviours. The proposed approach is exempli- fied by applying it to the identification of engaged-behaviours in a serious game for training clinical procedures on sepsis treatment protocol.