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Emotional Intelligence System for Ubiquitous Smart Foreign Language Education Based on Neural Mechanism

  • Dai, Weihui (School of Management Fudan University) ;
  • Huang, Shuang (Overseas Training Center, Shanghai Foreign Language Studies) ;
  • Zhou, Xuan (Section of Social Science, Sicuan Conservatory of Music) ;
  • Yu, Xueer (Department of Psychology, College of Arts and Science, Washington University in St. Louis) ;
  • Ivanovi, Mirjana (Department of Mathematics and Informatics, University of Novi Sad) ;
  • Xu, Dongrong (Psychiatry Department, Medical Centre, Columbia University)
  • 투고 : 2014.07.08
  • 심사 : 2014.09.09
  • 발행 : 2014.09.30

초록

Ubiquitous learning has aroused great interest and is becoming a new way for foreign language education in today's society. However, how to increase the learners' initiative and their community cohesion is still an issue that deserves more profound research and studies. Emotional intelligence can help to detect the learner's emotional reactions online, and therefore stimulate his interest and the willingness to participate by adjusting teaching skills and creating fun experiences in learning. This is, actually the new concept of smart education. Based on the previous research, this paper concluded a neural mechanism model for analyzing the learners' emotional characteristics in ubiquitous environment, and discussed the intelligent monitoring and automatic recognition of emotions from the learners' speech signals as well as their behavior data by multi-agent system. Finally, a framework of emotional intelligence system was proposed concerning the smart foreign language education in ubiquitous learning.

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