Students’ emotions have been proven to play a fundamental role in the teaching/learning process. As educational content can modify the emotional state, emotions are crucial information to be considered at the time of making suggestions of contents to students in a learning environment. Additionally, in recent years, the research interest in emotion recognition is increasing. Some investigations in affective recommender systems for recommending products on e-commerce have been developed during recent years, but just a little investigation regarding these types of recommender systems in the educational field exists. In this work, a systematic literature review of affective recommender systems in learning environments is performed to explore the state of the art of the influence of emotions in the educational field, especially in content recommender systems. The absence of research work that implements hybridization was identified through the fusion of techniques that can help improve results in emotion recommendation systems in an educational setting.

事实证明，学生的情绪在教学过程中起着至关重要的作用。由于教育内容可以改变情绪状态，因此情绪是在学习环境中向学生提出内容建议时要考虑的重要信息。另外，近年来，对情绪识别的研究兴趣正在增加。近年来，已经对情感推荐系统进行了一些研究，以推荐电子商务上的产品，但是在教育领域中，对于这些类型的推荐系统只有很少的研究。在这项工作中，对学习环境中的情感推荐系统进行了系统的文献综述，以探索情感在教育领域中的影响的最新技术水平，特别是在内容推荐系统中。通过融合可以帮助改善教育环境中的情绪推荐系统的结果的技术，可以确定缺乏实现杂交的研究工作。