A Collaborative Mobile Virtual Campus System Based on Location-Based Dynamic Grouping & Multi-Object Oriented Augmented Reality for Location-based Adaptive Mobile Learning
Abstract
1) A Collaborative Mobile Virtual Campus System Based on Location-Based Dynamic Grouping
This paper presents a collaborative mobile learning system: Mobile Virtual Campus (MVC) powered by the location-based dynamic grouping algorithm. The MVC system has been developed to provide an innovative and interactive platform for online mobile learners by utilizing the location awareness and other built-in sensory components in mobile devices. On the platform, the mobile learners can learn collaboratively and interactively either at a distance or face-to-face in the mobile learning environment. Within the MVC, the mobile learners can share the learning experiences with their peers just like in a traditional classroom.
2) Multi-Object Oriented Augmented Reality for Location-based Adaptive Mobile Learning
Mobile learning can be conducted anytime and anywhere. It provides the opportunity for mobile learners to learn collaboratively while they are online and in the mobile learning environment. Utilizing a mobile device’s location awareness capability within mobile learning applications has become available. Although the GPS may not be accurate enough because in the location-based mobile learning environment, there might be a lot of learning objects in a single location, and each object has its specific learning contents belong. This research aims to bring up a strategy called Multi-Object Oriented Augmented Reality, based on the Augmented Reality technique and the location of Mobile Learning Objects, which allows learner to see the suitable learning contents superimposed upon the specific learning objects and enhance the interactive in a mobile learning environment. The three characteristics of this new approach; Learning-Object Oriented, Guidance ability and highly interactive will enhance the learners’ knowledge as more adaptable, accurate, personalized and interesting as possible.
Related items
Showing items related by title, author, creator and subject.
-
Designing a mobile device automatic detector to support mobile library systems
Yang, Guangbing; Tin, Tony; Elliott, Colin; Hutchison, Maureen; McGreal, Rory (Facet, 2010)Content providers cannot ensure that digital material will be reformatted and accessed by any mobile device correctly due to mobile device limitations. A mobile device automatic detector can provide accurate information ... -
Mobile design: interactive multimedia to support learning and teaching (Workshop)
Ally, Mohamed; Elliott, Colin; Schafer, Steve; Yang, Guangbing; Geng, Hongxing; Tin, Tony; Woodburn, Tracey (m-Libraries 2009, 2009)Aim of the workshop: The Athabasca University Library has developed many mobile friendly websites and features to help our students access resources. These include an autodetect feature which displays either mobile or ... -
Innovation in workplace and language training; the Athabasca University mobile workplace project
Ally, Mohamed; Tin, Tony; Woodburn, Tracey; Elliott, Colin (ICT2010 Singapore, 2010)The need for studies on learning via mobile device, particularly how workplace and language training might be conducted, grows in importance, as more and more people become mobile device users. The Athabasca University ...