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A mobile learning environment provides students with a teaching method that would be not possible to be performed in a conventional web-based course. The use of Learning Objects (LOs) in a standard way consists of an effective way to allow, among other features, content reuse and interoperability among different Learning Management Systems. However, a problem that occurs frequently is the unsuitability of the content being learned to the context in which the student is inserted. A context-aware mobile learning environment allows to solve this problem. Thus, this paper presents an agent-based approach to context-aware recommendation of LOs in order to enhance the teaching process in mobile learning.

MobiLE: Um Ambiente Multiagente de Aprendizagem Móvel Baseado em Algoritmo Genético para Apoiar a Aprendizagem Ubíqua