Affective Computing: A Closer View of Self-Reported Instruments in Education

Elaheh Yadegaridehkordi, Nurul Fazmidar Mohd Noor, Mohamad Nizam Ayub, Hannyzzura Affal, Nornazlita Hussin

Abstract


The trends of affective computing have rapidly become an issue in educational settings. Even self-reported instruments have been the most popular class of instruments for emotional experience assessment over the past years, there are deficiencies in the in-depth literature review and classification of research based on these affective recognition instruments. For that reason, this study focused on the self-reported instruments and reviewed 18 related studies from IEEE Xplore, ScienceDirect, and Springer link databases published from 2010 to 2015, and categorized them based on affective recognition instrument, affective classification, and learning domain. Finally, this study provides insight and future direction on self-reported affective computing instruments for both researchers and practitioners. 


Keywords


Self-reported instruments, Affective computing, Educational settings

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References


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