For several years, there has been growing interest in the development and use of serious games to improve individuals' quality of life and behavior. In particular, Crisis Management Serious Games (CMSG) have shown their potential for teaching people both technical and soft skills related to managing crises in a safe environment while reducing training costs. To improve their effectiveness, several evaluation approaches of CMSGs have been proposed. However, despite its interest, the learner's emotional state is often neglected. As a result, learners may end up with a deep frustration or boredom. Therefore, we propose an Educational Data Mining (EDM) approach to evaluate learners' affective states in collaborative CMSGs. This approach is applied to assess learners' engagement during a game-based evacuation scenario aiming to train and to raise awareness among students of a university on evacuating the present persons during a fire emergency situation. The experimental results confirm the major predictions of learners' affective dynamics and uncover novel findings namely the presence of transitions from boredom to frustration and from frustration to confusion. Our study shows that combining gaming and emotion aspects under an EDM approach to evaluate CMSGs is interesting since it gives reliable results in a less invasive way.

几年来，人们对开发和使用严肃游戏以提高个人生活质量和行为的兴趣日益浓厚。特别是，危机管理严肃游戏（CMSG）展示了其在教导人们与安全环境中管理危机相关的技术和软技能的同时降低培训成本的潜力。为了提高其有效性，已经提出了几种CMSG的评估方法。但是，尽管有兴趣，但学习者的情绪状态经常被忽略。结果，学习者可能最终会感到沮丧或无聊。因此，我们提出了一种教育数据挖掘（EDM）方法，以评估协作式CMSG中学习者的情感状态。该方法适用于评估学习者的 在以游戏为基础的疏散方案中参与，旨在培训和提高大学学生在发生火灾紧急情况时疏散现役人员的意识。实验结果证实了学习者情感动力的主要预测，并发现了新颖的发现，即从无聊到沮丧和从沮丧到困惑的过渡。我们的研究表明，在EDM方法下结合游戏和情感方面来评估CMSG是有趣的，因为它以侵入性较小的方式提供了可靠的结果。情感动力学并发现新颖的发现，即存在从无聊到沮丧和从沮丧到困惑的转变。我们的研究表明，在EDM方法下结合游戏和情感方面来评估CMSG是有趣的，因为它以侵入性较小的方式提供了可靠的结果。情感动力学并发现新颖的发现，即存在从无聊到沮丧和从沮丧到困惑的转变。我们的研究表明，在EDM方法下结合游戏和情感方面来评估CMSG是有趣的，因为它以侵入性较小的方式提供了可靠的结果。