LEANER MODEL BASED CONTEXT TO DEVELOP A CONTEXT–AWARE ADAPTIVE SYSTEM IN MOBILE LEARNING

This paper represents how to apply learner model to develop a personalized context – aware mobile learning architecture for supporting student to learn English as foreign language in order to prepare for TOEFL test as case study in Vietnam. Learner model is a key factor to determine the learning content adaptation for the needs and knowledge of individual learners. This paper improved system model CAMLES [14], allowing the learner can adjust the assessment of knowledge itself. The change in rating knowledge can always be accepted or must correctly answer the questions that the system offers. In addition, this innovative model enables learners can learn to change the contents corresponding to each unique individual, if they felt the content made the system incompatible with their requirements.