Humanized Mandarin E-Learning Based on Pervasive Computing

  • Yue Ming
  • Zhenjiang Miao
Conference paper
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 252)


E-Learning environments designated to facilitate long-distance learning are gaining popularity. Pervasive computing has a great potential for many next-generation IT applications. This paper describes pervasive computing system design and implementation for Mandarin e-learning. We propose a Human-centered Pervasive Computing System Model (HPC) and Layered Architecture Analysis and Design Method (LAAD). Based on the HPC model and LAAD method, a pervasive computing based Mandarin e-learning system is designed and implemented. Its design and implementation issues are discussed in details.


Speech Recognition Pervasive Computing Personalized Learning Foreign Learner Speech Synthesizer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© IFIP International Federation for Information Processing 2007

Authors and Affiliations

  • Yue Ming
    • 1
  • Zhenjiang Miao
    • 1
  1. 1.Institute of Information ScienceBeijing JiaoTong UniversityBeijingP.R. China

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