State of the art of frameworks and middleware for facilitating mobile and ubiquitous learning development

Authors:
Sergio Martin;Gabriel Diaz;Inmaculada Plaza;Elena Ruiz;Manuel Castro;Juan Peire
Affiliations:
Electrical and Computer Engineering Dep., Spanish University for Distance Education (UNED), Juan del Rosal 12, 28040 Madrid, Spain;Electrical and Computer Engineering Dep., Spanish University for Distance Education (UNED), Juan del Rosal 12, 28040 Madrid, Spain;Electrical and Computer Engineering Dep., Spanish University for Distance Education (UNED), Juan del Rosal 12, 28040 Madrid, Spain;Electrical and Computer Engineering Dep., Spanish University for Distance Education (UNED), Juan del Rosal 12, 28040 Madrid, Spain;Electrical and Computer Engineering Dep., Spanish University for Distance Education (UNED), Juan del Rosal 12, 28040 Madrid, Spain;Electrical and Computer Engineering Dep., Spanish University for Distance Education (UNED), Juan del Rosal 12, 28040 Madrid, Spain
Venue:
Journal of Systems and Software
Year:
2011

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Abstract

The emergence of mobile and ubiquitous technologies as important tools to complement formal learning has been accompanied by a growing interest in their educational benefits and applications. Mobile devices can be used to promote learning anywhere and anytime, to foster social learning and knowledge sharing, or to visualize augmented reality applications for learning purposes. However, the development of these applications is difficult for many researchers because it requires understanding many different protocols; dealing with distributed schemas, processes, platforms, and services; learning new programming languages; and interacting with different hardware sensors and drivers. For that reason, the use of frameworks and middleware that encapsulate part of this complexity appears to be fundamental to the further development of mobile learning projects. This study analyzes the state of the art of frameworks and middleware devoted to simplifying the development of mobile and ubiquitous learning applications. The results can be useful to many researchers involved in the development of projects using these technologies by providing an overview of the features implemented in each of these frameworks.