Personalized Knowledge-Aware Framework for Language Learning in Pervasive Learning Environment

Providing learners with different educational material is one of the major goals of E-learning. This paper presents a personalized knowledge-aware framework (PKA Framework) for language learning in pervasive computing environment. The framework makes use of context objects database (COD) and knowledge processing engine (KPE), together with sensors, actuators, etc to assign students into virtual classes and provide them with personalized learning means. The paper describes the architecture of the framework, an example and the evaluation.