Humanized Mandarin E-Learning Based on Pervasive Computing
نویسندگان
چکیده
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 elearning system is designed and implemented. Its design and implementation issues are discussed in details.
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تاریخ انتشار 2007