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Recently, adaptive course generation has been focusing by several researchers. We have built ACGs system to create adaptive courses for each learner based on evaluating demand, ability, background and learning style of them. ACGs is also separated content from model of course and extended learning objects in order to using intelligent agent to help them(More)
This paper represents a personalized context - aware mobile learning architecture for supporting student to learn English as foreign language in order to prepare for TOEFL test. It provides adaptive content for different learners based on context - awareness. In our model, the context includes location, time, manner as well as learner's knowledge. Through(More)
This research focuses on learning path selection – a part of work in my doctoral research whose goal is to develop an adaptive hypermedia. To generate adaptive learning path for each learner, we base on learner's profile in which learner's model is evaluated as well as stored. We have supplemented some attributes of learning object as well as a set of(More)
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