LAUSR

Context Aware Mobile Learning Applications (CAMLA) are an emerging field of research, they provide educational resources tailored to educational needs and particular circumstances of the learner. Despite the increase in the number of applications being developed, there is a lack of study that provides comprehensive knowledge on the development of CAMLA. Motivated by this shortcoming, Systematic Literature Review (SLR) was conducted to establish a body of knowledge that describes the key components of CAMLA that includes; context information extraction and representation, context adaptation and different types of applications developed. SLR was conducted on 24 papers retrieved from seven databases. The results identified different types of context amongst which learner, location and time are the most widely used in the development of CAMLA. The context data is collected using virtual and physical sensors and mostly represented as relational or ontology data. CAMLA provides different types of adaptation where adaptation to learning resource and location are very common. The results are useful to position future research activities to scientifically strengthen this field.