A new significant area: emotion detection in e-learning using opinion mining techniques
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E-learning has sprung up much interest in corporations, educational institutions and individuals alike. Recently, it has been discovered that emotion can affect the elearning experience. However, understanding the emotional reaction of a student in a complicated learning environment is a mind boggling task. By detecting intense emotional experiences being exhibited by students, we intend to detect fluctuations in emotion as learning progresses. To achieve this, we present a conceptual emotion detection and analysis system for e-learning using opinion mining techniques.
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Thompson, Nik; McGill, T. (2012)This paper introduces the field of affective computing, and the benefits that can be realized by enhancing e-learning applications with the ability to detect and respond to emotions experienced by the learner. Affective ...
Thompson, Nik; McGill, T. (2013)© 2014, IGI Global. All right reserved. This chapter discusses the domain of affective computing and reviews the area of affective tutoring systems: e-learning applications that possess the ability to detect and appropriately ...
Thompson, Nik; McGill, T. (2016)© 2016 Association for Educational Communications and Technology. This paper details the design, development and evaluation of an affective tutoring system (ATS)—an e-learning system that detects and responds to the ...