Context-Aware Personalized Mobile Learning

Abstract

Increasing usage of mobile apps encourages the mobile application developers to add more services through specialized mobile applications. One of such service is m-leaning (mobile learning) application. Learning through mobile provides unique experience to the learners to learn course/subject at anywhere and at any time. To increase the learning interest and success of learning is relying on the learners need and the learning environment. This requirement brings new research direction called context-aware personalized learning. This paper proposes the new m-learning system which organizes the course content, accommodating the dynamic nature of learner’s preferences and state. Learners’ preferences are identified through ILS (index of learning styles) test and subsequently updated based on learners activity log using apriori algorithm. The system finally will adopt the content based on the learner’s environment context such as network and surrounding light.