Title :
A new significant area: Emotion detection in E-learning using opinion mining techniques
Author :
Binali, Haji H. ; Wu, Chen ; Potdar, Vidyasagar
Author_Institution :
Digital Ecosyst. & Bus. Intell. Inst., Curtin Univ. of Technol., Perth, WA, Australia
Abstract :
E-learning has sprung up much interest in corporations, educational institutions and individuals alike. Recently, it has been discovered that emotion can affect the e-learning 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.
Keywords :
computer aided instruction; data mining; emotion recognition; e-learning; emotion detection; learning environment; opinion mining techniques; Australia; Collaboration; Courseware; Data mining; Ecosystems; Education; Educational institutions; Electronic learning; Face detection; Learning systems; E-learning; emotion detection; opinion mining;
Conference_Titel :
Digital Ecosystems and Technologies, 2009. DEST '09. 3rd IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-2345-3
Electronic_ISBN :
978-1-4244-2346-0
DOI :
10.1109/DEST.2009.5276726
