Richard A.W. Tortorella

Work place: School of Computing, University of Eastern Finland, Joensuu, FIN-80101, Finland



Research Interests: Artificial Intelligence, Swarm Intelligence


Richard A. W. Tortorella received his MSc degree from Athabasca University, Canada in 2013. He is currently a PhD candidate at the University of Eastern Finland. He is a member of the IEEE Society and an Assistant Editor for the Smart Learning Environments journal. His current research interests include: context-aware learning systems, m-Learning, and artificial intelligence.

Author Articles
A Classification Framework for Context-aware Mobile Learning Systems

By Richard A.W. Tortorella Kinshuk Nian-Shing Chen Sabine Graf

DOI:, Pub. Date: 8 Jul. 2017

The field of context awareness is ever increasing due to the proliferation and omnipresent nature of mobile computing devices. Not only is learning becoming ubiquitous, but the sensors in mobile devices are permitting learning systems to adapt to the context of the learners. This paper provides a classification framework for the field of context-aware mobile learning, which is applied to papers published within selected journals from January 2009 to December 2015 inclusive. Obtained from the combined fields of context awareness and educational technology, a total of 2,968 papers are reviewed, resulting in 41 papers being selected for inclusion in this study. The classification framework consists of three layers: hardware architecture layer, context architecture layer and an evaluation layer. The framework will allow researchers and practitioners to quickly and accurately summarize the status of the current field of context-aware mobile learning. Furthermore, it has the potential to aid in future system development and decision making processes by showing the direction of the field as well as viable existing methods of system design and implementation.

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