Emotions and Personality in Adaptive e-Learning Systems: An Affective Computing Perspective
نویسنده
چکیده
This chapter reports how affective computing (in terms of detection methods and intervention approaches) is considered in e-learning systems. The goal behind is to enrich the personalized support provided in online educational settings by taking into account the influence that emotions and personality have in the learning process. The main contents of the chapter consist in the review of 26 works that present current research trends regarding the detection of the learners’ affective states and the delivery of the appropriate affective support in diverse educational settings. In addition, the chapter discusses open issues regarding affective computing in the educational domain.
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