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Addressing Emotions within E-Learning Systems

Authors
Zurloni, Valentino
Mantovani, Fabrizia
Vescovo, Antonietta
Anolli, Luigi
Published in T.T. Kidd & H. Song. Handbook of Research on Instructional Systems and Technology. Vol. 2. Hershey, PA: IGI Global. 2008
Abstract Emotions are attracting growing attention within the instructional design research community. However, clarification is still required as to how exactly to address emotions within the field of e-learning. The aim of this chapter is twofold. Firstly, we will focus on the reasons for including emotions within the instructional technology domain, and in particular, on the relevance of emotions to computer-based learning. The need for specific theory in this regard is heightened by the current drive to design instructional devices that interact with learners in a motivating, engaging, and helpful way. Secondly, within the framework affective computing paradigm, the different modalities for detecting emotions in instructional technology contexts will be systematically reviewed, and the strengths and limits of each will be discussed on the basis of the most up to date research outcomes. Finally, a tentative architecture for emotion recognition in computer-based learning will be proposed, focusing on the adoption of a multimodal approach to emotion recognition, in order to overcome the limitations and the difficulties associated with individual modalities.
Keywords Facial Action Coding SystemComputer AnxietyEmotional IntelligenceMultimodal Emotion RecognitionAppraisalAutonomic Nervous System (ANS)Modality (of emotional detection)Affective Computing
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ISBN: 978-1-59904-865-9
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ZURLONI, Valentino et al. Addressing Emotions within E-Learning Systems. In: T.T. Kidd & H. Song (Ed.). Handbook of Research on Instructional Systems and Technology. Vol. 2. Hershey, PA : IGI Global, 2008. https://archive-ouverte.unige.ch/unige:97769

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Deposited on : 2017-10-18

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