Introduction to algorithms
Proposal of a Map-Making System for Mobile Learning that Uses Subjective Geographic Recognition
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
The suitability of kinesthetic learning activities for teaching distributed algorithms
Proceedings of the 38th SIGCSE technical symposium on Computer science education
Exploring the potential of mobile phones for active learning in the classroom
Proceedings of the 38th SIGCSE technical symposium on Computer science education
Point-of-capture archiving and editing of personal experiences from a mobile device
Personal and Ubiquitous Computing - Memory and Sharing of Experiences
Mobile phone programming for multimedia
Proceedings of the 15th international conference on Multimedia
Experiencing mobile learning: the MouLe project
AIC'07 Proceedings of the 7th Conference on 7th WSEAS International Conference on Applied Informatics and Communications - Volume 7
Mobile technology in education: uses and benefits
International Journal of Mobile Learning and Organisation
Mobile Python: Rapid prototyping of applications on the mobile platform
Mobile Python: Rapid prototyping of applications on the mobile platform
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Recent GPS-enabled mobile phones provide a rich and novel platform for exploring new kinds of educational software. Moreover, powerful high-level programming languages such as Python allow rapid development of learning tools that take advantage of mobile technology. This paper reports on a recent pilot study using mobile phones as situated learning tools. The study focused on expressing Dijkstra's algorithm for solving the classical graph theory problem, "single source shortest paths", in the form of problem-based learning and kinesthetic learning for non-IT university-level students. The objective of the pilot study was to find out if non-IT students could learn how to find shortest paths for simple graphs using mobile phone technology. The mobile phone's internal GPS system was used to guide how a student explored the problem, as they developed an understanding about shortest paths. The pilot study results indicate students enjoyed the experience and learned about finding shortest paths.