A Model Driven Infrastructure for Context-Awareness Mobile Assessment Personalization

Providing personalized and context-aware assessment contents to learners in mobile environment require to consider and to represent the term context in such environments. Context-awareness means being able to collect environment and assessment resources information from the learner and surrounding equipment to provide learners with the context-related assessment activities and content. In this paper, we aim to provide learners with personalized assessment content. To serve this purpose, we first define the concept of MAO (Mobile Assessment Object) and we consider various parameters allowing mobile assessment personalization. Similarly, we detail models used to implement the semantics of our framework. Models are described through ontologies. Ontologies are one of the most functional means for representing data and allow a semantic information representation and interchange between different tools. Finally, we introduce a formal description for assessment personalization in a mobile learning environment.