RE-Tutor: An Augmented Reality Based Platform for Distributed Collaborative Learning
Many ICT technologies have been used to develop systems to support collaborative learning. These systems are mainly developed to support interaction between users when they collaborate with each other to learn knowledge and solve a problem. However, there are many situations for collaborative learning in which geographically distributed participants play distinct roles and work together to produce or manipulate physical objects. For example, a teacher in a major city teaches a disabled child at a remote area; a remote tutor provides a tutoring service to a local student at home to finish an art or handcraft assignment; or more often, a teacher guides a class of students online through a series of activities in which physical objects are involved such as drawing a picture using different pens. In these scenarios, traditional learning systems may be limited since students not only need to see and hear their teacher, but also need to interact with their teacher to use or manipulate physical objects. In this paper, we introduce a novel system platform called RE-Tutor that is proposed to support this category of collaborative learning scenarios. In this system, while physically distributed, a teacher is enabled to talk to his students, see what the students are working on, and provide guidance information using hand gestures or annotations which are often needed for physical tasks.
Keywordsremote guidance collaborative learning augmented reality hand gestures
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- 1.Purdie, N., Buckley, S.: School attendance and retention of Indigenous Australian students. AIHW Publication (September 2010)Google Scholar
- 2.Beavis, A.: Addressing educational disadvantage. Research Developments 26, Art. 4 (2011)Google Scholar
- 3.McIntosh, G., Phillips, J.: Disability Support and Services in Australia. E-Brief: Online Only issued March 2001, http://www.aph.gov.au/About_Parliament/Parliamentary_Departments/Parliamentary_Library/Publications_Archive/archive/disability (updated October 16, 2002)
- 4.Action Plan for Rural and Remote Education for 2011-2015: Department of Education, Training and Employment, http://education.qld.gov.au/ruralandremote/index.html
- 5.Ou, J., Fussell, S.R., Chen, X., Setlock, L.D., Yang, J.: Gestural communication over video stream: supporting multimodal interaction for remote collaborative physical tasks. In: Proceedings of the 5th Conference on Multimodal Interfaces, pp. 242–249 (2003)Google Scholar
- 7.Huang, W., Alem, L.: HandsInAir: A Wearable System for Remote Collaboration on Physical Tasks. In: The 16th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2013), San Antonio, Texas, USA, February 23-27 (2013)Google Scholar
- 8.Tecchia, F., Alem, L., Huang, W.: 3D Helping Hands: a gesture based MR system for remote collaboration. In: The 11th International Conference on Virtual Reality Continuum and Its Applications in Industry (VRCAI 2012), Singapore, December 2-4 (2012)Google Scholar
- 9.Lipponen, L.: Exploring foundations for computer-supported collaborative learning. In: CSCL 2002 (2002), http://newmedia.colorado.edu/cscl/31.html
- 10.Ludvigsen, S., Møørch, A.I.: Computer-supported collaborative learning: Basic concepts, multiple perspectives, and emerging trends. In: International Encyclopedia of Education. Elsevier, Amsterdam (2010), doi:10.1016/B978-0-08-044894-7.00493-0Google Scholar
- 12.Kumar, V.S.: CSCL environments for distributed peer collaboration, http://www.gerrystahl.net/cscl/cscl97/consort/Kumar.html (accessed on April 27, 2014)
- 13.Greer, J.E., McCalla, G.I., Kumar, V.S., Collins, J.A., Meagher, P.: Facilitating Collaborative Learning in Distributed Organizations. In: International Conference on Computer Support for Collaborative Learning (CSCL 1997), Toronto, Canada, December 10-14 (1997)Google Scholar
- 14.Al-Qaraghuli, A., Zaman, H.B., Olivier, P., Kharrufa, A., Ahmad, A.: Analysing tabletop based computer supported collaborative learning data through visualization. In: Badioze Zaman, H., Robinson, P., Petrou, M., Olivier, P., Shih, T.K., Velastin, S., Nyström, I. (eds.) IVIC 2011, Part I. LNCS, vol. 7066, pp. 329–340. Springer, Heidelberg (2011)Google Scholar