Abstract
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. We consider how to apply open learner modeling techniques to adapt contents for different learners based on context, which includes location, amount of time to learn, the manner as well as learner's knowledge in learning progress. Through negotiation with system, the editable learner model will be updated to support adaptive engine to select adaptive contents meeting learner's demands. Empirical testing results for students who used application prototype indicate that interaction user modeling is helpful in supporting learner to learn adaptive materials.
Highlights
Because of it s portability, mobile technology is a growing trend in a wide range of activities in modern life such as: co mmunication, entertainment, banking and education
Adaptive Hypermedia (AH) syste ms have been developed to provide the learners with adaptive learning materials based o n their demands through evaluating learner model
Our research addresses the context-awareness adaptation in mobile learning that aims to support Vietnamese students to use the mobile devices such as mobile phone, Personal Digital Assistant (PDA) to learn English in order to prepare for TOEFL test
Summary
Because of it s portability, mobile technology is a growing trend in a wide range of activities in modern life such as: co mmunication, entertainment, banking and education. Our research addresses the context-awareness adaptation in mobile learning that aims to support Vietnamese students to use the mobile devices such as mobile phone, Personal Digital Assistant (PDA) to learn English in order to prepare for TOEFL test. We are interested in the learner modeling as well as th e context factors that affect the students. The main contribution of our work is personalized learning materials by using open learner modelling to support the learners can edit their model through negotiation with the system. The context factors using in our model to adapt course content for each student is introduced. As for the fourth section, we represent our c ontext-aware mobile learning, the CAMLES system that focuses on representing how to manage editable learner model and content model as wel l as t he system design and architecture.
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