Context-Aware and Adaptive Units of Learning in mLearning

In technology-enhanced learning, the use of mobile applications is increasing, which improves students' learning experiences, allowing them to carry out daily activities anytime, anywhere. However, the majority of the available learning contents have been designed for desktop computers; thus, accessing that information is limited by the technical capabilities of mobile devices. As a result, students might lose interest and motivation to learn using their mobile devices if content adaptation and learning personalization processes are not appropriately designed. In this paper, the authors present a context-aware adaptation architecture for mobile learning. In the architecture, two mechanisms based on conditional statements from the IMS Learning Design specification and a transcoding mechanism are presented. Moreover, which learner's contextual information can be represented to design the learning process and retrieved to adapt activities and resources is explained by the description of a context-aware mobile-assisted second language learning scenario.