TOWARDS EFFECTIVE BLENDED LEARNING WITH 3D MUVE - An Analysis of Use Case Implementations for 3D MUVE Learning

Indika Perera, Colin Allison, John McCaffery, Alan Miller

Abstract

Technology enhanced learning has been a mainstream educational process, which has introduced a variety of techniques to use in different contexts to fulfil learning objectives and goals. E-Learning has been widely used to fulfil various learning requirements from primary education to university and research based education. However, criticisms on the existing learning methods on competence to cater for societal and human needs within the context of learning are not rare, associating the constraints of behavioural, cultural, and pedagogical. 3D Multi User Virtual Environments (MUVE), in contrast, show a promising future for dynamic learning activities, complementing blended learning methods with high collaboration and user engagement, in which some of those would not have been possible with existing learning practices. This paper, nonetheless, shows that the present 3D MUVE learning use cases are not well defined, yet educationalists tend to practice and expect the conventional e-Learning use cases in 3D MUVE, creating inconsistencies and losing the significance of 3D MUVE for learning. It also proposes a novel approach to consider effective 3D MUVE learning use cases. The use case analysis has been done on a blended perspective. Moreover, the paper critically argues about the effectiveness of learning activities designed with 3D MUVE and e-Learning through selected case studies.

References

  1. Allison, C., A. Miller, et al. (2008). "Exploratory Learning for Computer Networking." Advances in Web Based Learning - ICWL 2007: 331-342.
  2. Allison, C., A. Miller, et al. (2010). Educationally Enhanced Virtual Worlds. 40th ASEE/IEEE Frontiers in Education Conference (FIE), IEEE.
  3. Boja, C. and L. Batagan (2009). "Analysis of m-Learning Applications Quality." WSEAS Transactions on Computers 8(5): 767-777.
  4. Brenton, S. (2009). E-learning - an introduction. A Handbook for Teaching and Learning in Higher Education. H. Fry, S. Ketteridge and S. Marshall: 85- 98.
  5. Crowe, M. and D. Livingstone (2009). Collaborative WebBrowsing in a Virtual World. In Proceedings of 2009 Conference in Games and Virtual Worlds for Serious Applications, VS-GAMES, IEEE.
  6. Dalgarno, B., A. G. Bishop, et al. (2009). "Effectiveness of a Virtual Laboratory as a preparatory resource for Distance Education chemistry students." Computers & Education 53(3): 863-865.
  7. Girvan, C. and T. Savage (2010). "Identifying an appropriate pedagogy for virtual worlds: A Communal Constructivism case study." Computers & Education 55: 342-349.
  8. Graf, S. and Kinshuk (2009). Advanced Adaptivity in Learning Management Systems by Considering Learning Styles. Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03, IEEE Computer Society.
  9. K. Getchell, J. Nicoll, et al. (2007). "Evaluating exploratory learning in LAVA." in Proceedings of the sixth conference on IASTED International Conference Web-Based Education 2.
  10. Kirriemuir, J. (2010). "Virtual world activity in UK universities and colleges - Virtual teaching in uncertain times, Snapshot #8 of virtual world use in UK Higher and Further Education." Virtual World Watch, Eduserv Snapshot #8(Spring 2010): 1-45.
  11. Kolb, D. A., R. E. Boyatzis, et al. (2001). Experiential Learning Theory: Previous Research and New Directions. in Perspectives on Thinking, Learning and Cognitive Styles. J. Sternberg and L. F. Zhang, Lawrence Erlbaum: Mahwah: 227.
  12. Lefrere, P. (2009). "Activity-based scenarios for and approaches to ubiquitous e-Learning." Personal and Ubiquitous Computing 13(3): 219-227.
  13. Linden_Labs. (2003). "Second Life." from www.secondlife.com [cited November 2009].
  14. McCaffery, J., A. Miller, et al. (2010). Visualising Routing Algorithms in Virtual Worlds. in Proceedings of the 11th PGNet symposium, Liverpool.
  15. McGill, T. J. and J. E. Klobas (2009). "A task-technology fit view of learning management system impact." Comput. Educ. 52(2): 496-508.
  16. Messinger, P. R., E. Stroulia, et al. (2009). "Virtual worlds - past, present, and future: New directions in social computing." Decis. Support Syst. 47(3): 204-228.
  17. Meyer, J. H. F. and R. Land (2005). "Threshold concepts and troublesome knowledge: Epistemological considerations and a conceptual framework for teaching and learning." Higher Education 49(3): 373- 388.
  18. Moodle. (2004). "Moodle." Retrieved February 2010, from http://moodle.org/.
  19. Oliver, I. A., A. H. D. Miller, et al. (2010). Virtual worlds, real traffic: interaction and adaptation. The first annual ACM SIGMM conference on Multimedia systems, MMSys'10. Phoenix, Arizona, USA, ACM: 305-316.
  20. Perera, I., C. Allison, et al. (2010). Secure Learning in 3 Dimensional Multi User Virtual Environments - Challenges to Overcome. In Proceedings of the 11th PGNet symposium, Liverpool.
  21. Perera, I., C. Allison, et al. (2009). Towards Successful 3D Virtual Learning - A Case Study on Teaching Human Computer Interaction. 4th International Conference for Internet Technology and Secured Transactions (ICITST-2009). London: 159-164.
  22. Perera, I., C. Allison, et al. (2010). "Managed Learning in 3D Multi User Virtual Environments." International Journal of Digital Society 1(4): 323-332.
  23. Sheldon, N., E. Girard, et al. (2003). The effect of latency on user performance in Warcraft III. NetGames 7803: Proceedings of the 2nd workshop on Network and system support for games.
  24. Sloodle. (2007). "Sloodle." from http://www.sloodle.org/ moodle/.
  25. Sturgeon, T., C. Allison, et al. (2009). "802.11 wireless experiments in a virtual world." SIGCSE Bull. 41(3): 85-89.
  26. Teo, C. B. and R. K. L. Gay (2006). "A knowledge-driven model to personalize e-learning." J. Educ. Resour. Comput. 6(1): 3.
  27. The_Open_Simulator_Project. (2007). "Open Simulator ".
  28. Weippl, E. R. (2005). Security in E-Learning, Springer.
  29. Wu, J., R. D. Tennyson, et al. (2010). "A study of student satisfaction in a blended e-learning system environment." Computers & Education 55(1): 155- 164.
Download


Paper Citation


in Harvard Style

Perera I., Allison C., McCaffery J. and Miller A. (2011). TOWARDS EFFECTIVE BLENDED LEARNING WITH 3D MUVE - An Analysis of Use Case Implementations for 3D MUVE Learning . In Proceedings of the 3rd International Conference on Computer Supported Education - Volume 2: CSEDU, ISBN 978-989-8425-50-8, pages 46-55. DOI: 10.5220/0003339500460055


in Bibtex Style

@conference{csedu11,
author={Indika Perera and Colin Allison and John McCaffery and Alan Miller},
title={TOWARDS EFFECTIVE BLENDED LEARNING WITH 3D MUVE - An Analysis of Use Case Implementations for 3D MUVE Learning},
booktitle={Proceedings of the 3rd International Conference on Computer Supported Education - Volume 2: CSEDU,},
year={2011},
pages={46-55},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003339500460055},
isbn={978-989-8425-50-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Computer Supported Education - Volume 2: CSEDU,
TI - TOWARDS EFFECTIVE BLENDED LEARNING WITH 3D MUVE - An Analysis of Use Case Implementations for 3D MUVE Learning
SN - 978-989-8425-50-8
AU - Perera I.
AU - Allison C.
AU - McCaffery J.
AU - Miller A.
PY - 2011
SP - 46
EP - 55
DO - 10.5220/0003339500460055