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RE-Tutor: an augmented reality based platform for distributed collaborative learning


Huang, W and Huang, X and Lai, W, RE-Tutor: an augmented reality based platform for distributed collaborative learning, Lecture Notes in Computer Science 8683: Proceedings of the 11th International Conference on Cooperative Design, Visualization, and Engineering 2014, 14-17 September 2014, Seattle, USA, pp. 111-117. ISBN 978-3-319-10830-8 (2014) [Refereed Conference Paper]

Copyright Statement

Copyright 2014 Springer International Publishing Switzerland

DOI: doi:10.1007/978-3-319-10831-5_16


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.

Item Details

Item Type:Refereed Conference Paper
Keywords:remote guidance, collaborative learning, augmented reality, hand gestures
Research Division:Information and Computing Sciences
Research Group:Library and information studies
Research Field:Human information interaction and retrieval
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the information and computing sciences
UTAS Author:Huang, W (Dr Tony Huang)
ID Code:95157
Year Published:2014
Deposited By:Information and Communication Technology
Deposited On:2014-09-25
Last Modified:2018-01-16

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