An Approach to Context-Aware Mobile Chinese Language Learning for Foreign Students

Abstract

In recent years, there are a large number of foreign students coming to learn Chinese language. However due to the characters of Chinese language, it is usually difficult for them to learn. In order to provide a suitable mobile environment to learn Chinese language for foreign students, this paper presents an approach to Context-aware Mobile Chinese Language Learning (CAMCLL) for foreign students. The idea of CAMCLL approach is, to provide service guide for foreign students when they are out of school, and moreover the form of service will be provided as suitable sentences towards achieving the real world Chinese language practice. The architecture of CAMCLL is introduced. A context model including four contexts (time, location, activity, and learner level) is proposed. The ontology-based matching with the combination of rule-based matching is a special feature in building matching mechanism. The approach discussed will enhance the Chinese language learning efficiency and effects for foreign students.