Towards Effective Blended Learning with 3D MUVE - An Analysis of Use Case Implementations for 3D MUVE Learning.

Galhenage Indika Udaya Shantha Perera, Colin Allison, John Philip McCaffery, Alan Henry David Miller

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationCSEDU 2011 - Proceedings of the 3rd International Conference on Computer Supported Education
Place of PublicationNoordwijkerhout, Netherlands
Pages46-55
Volume2
Publication statusPublished - 28 May 2011

Fingerprint

Dive into the research topics of 'Towards Effective Blended Learning with 3D MUVE - An Analysis of Use Case Implementations for 3D MUVE Learning.'. Together they form a unique fingerprint.

Cite this