A Model of a Case-based Approach to Context-aware Content Sequencing in Mobile Learning Environments

The continually changing learner's mobile environment gives rise to many learning context. This paper describes a model of a case-based approach to context-aware content sequencing in mobile learning environments. The design of mobile learning teaching systems with adaptive content sequencing requires significant effort, since dependencies between educational characteristics of learning resources, learning context and learner characteristics are too complex. According to the proposed approach, an prototype of Mobile Finite Automata Tutoring (MoFAT) system using a context-aware case-based content sequencing is presented. The MoFAT's learning material organization has a hierarchical structure with four levels. A new content sequencing problem (a new case) is solved by finding a similar past case, and reusing it in the new content sequencing problem context.