Location-aware mobile learning of spatial algorithms

Proceedings of the IADIS International Conference Mobile Learning 2013, ML 2013

Volumn , Issue , 2013, Pages 158-162

  Karavirta, Ville ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

Algorithm visualization; Location aware learning; Spatial algorithms

Indexed keywords

ALGORITHMS; DATA VISUALIZATION; E-LEARNING; LOCATION; MOBILE DEVICES; STUDENTS; VISUALIZATION;

ALGORITHM VISUALIZATION; COMPUTING EDUCATION; LEARNING EXPERIENCES; LEARNING MATERIALS; LOCATION-AWARE; LOCATION-AWARE LEARNING; MOBILE LEARNING; SPATIAL ALGORITHMS;

LEARNING ALGORITHMS;

EID: 84881181763     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Auer, S., C. Bizer, G. Kobilarov, J. Lehmann, R. Cyganiak, and Z. Ives, 2008. DBPedia: A Nucleus for a Web of Open Data. Proceedings of 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference (ISWC+ASWC 2007), pp. 722-735.
2. Chu, H.-C., G.-J. Hwang, C.-C. Tsai, and J. C. Tseng, 2010. A two-tier test approach to developing location-aware mobile learning systems for natural science courses. Computers & Education, 55(4):1618 - 1627.
3. Fisher, J., 2004. Visualizing the connection among convex hull, voronoi diagram and delaunay triangulation. In 37th Midwest Instruction and Computing Symposium.
4. Guo, P. J., 2013. Online python tutor: Embeddable web-based program visualization for cs education. In Proceedings of the 44th SIGCSE Technical Symposium on Computer Science Education. To Appear.
5. Hundhausen, C. D., S. A. Douglas, and J. T. Stasko, 2002. A meta-study of algorithm visualization effectiveness. Journal of Visual Languages and Computing, 13(3):259-290.
6. Karavirta, V., J. Helminen, and P. Ihantola, 2012. A Mobile Learning Application for Parsons Problems with Automatic Feedback. In Proceedings of the 12th Koli Calling International Conference on Computing Education Research, pages 11-18. ACM.
7. Karavirta, V. and A. Korhonen, 2012. Visual algorithm simulation exercises with authentic data sets. In Towards Learning and Instruction in Web 3.0: Advances in Cognitive and Educational Psychology, pages 123-137. Springer Verlag, New York, NY, USA.
8. Kasaki, N., S. Kurabayashi, and Y. Kiyoki, 2012. A geo-location context-aware mobile learning system with adaptive correlation computing methods. Procedia Computer Science, 10:593-600. The 9th International Conference on Mobile Web Information Systems (MobiWIS).
9. Malmi, L., V. Karavirta, A. Korhonen, J. Nikander, O. Seppälä, and P. Silvasti, 2004. Visual algorithm simulation exercise system with automatic assessment: TRAKLA2. Informatics in Education, 3(2):267-288.
10. Naps, T. L., G. Rößling, V. Almstrum, W. Dann, R. Fleischer, C. Hundhausen, A. Korhonen, L. Malmi, M. Mc- Nally, S. Rodger, and Ángel J. Velázquez-Iturbide, 2003. Exploring the role of visualization and engagement in computer science education. SIGCSE Bulletin, 35(2):131-152.
11. Nikander, J., J. Helminen, and A. Korhonen, 2010. Algorithm visualization system for teaching spatial data algorithms. Journal of Information Technology Education, 9:201-225.
12. Orkelbog, V. F., 2010. Situated simulation as a learning tool - experiencing forum iulium with the iphone. In Proceedings of the IADIS International Conference Cognition and Exploratory Learning in Digital Age, pages 268- 272, Timisoara, Romania.
13. Rößling, G. and B. Freisleben, 2002. ANIMAL: A system for supporting multiple roles in algorithm animation. Journal of Visual Languages and Computing, 13(3):341-354.
14. Shaffer, C. A., V. Karavirta, A. Korhonen, and T. L. Naps, 2011. OpenDSA: Beginning a community active-ebook project. In Proceedings of the 11th Koli Calling International Conference on Computing Education Research, pages 112-117.
15. Wang, Y.-K., 2004. Context awareness and adaptation in mobile learning. In Wireless and Mobile Technologies in Education, 2004. Proceedings. The 2nd IEEE International Workshop on, pages 154 - 158.