20 March 2007

Call for papers: Web 2.0 for Technology Enhanced Learning Social Dynamics and Social Engineering for Learning

Call for papers: Web 2.0 for Technology Enhanced Learning Social Dynamics and Social Engineering for Learning - a New Era for Learning Content Creation and Exploitation

A special issue of International Journal of Technology Enhanced Learning

One of the most significant deficits in technology enhanced learning (TEL) or e-learning approaches has always been the capacity of systems to provide means of knowledge creation and renewal of learning content through the exploitation of social interactions and learning experiences. In a way, it seems that e-learning was incapable of exploiting and capitalising on the “knowledge and learning assets” generated in the context of the unique e-learning experience. The contribution on learning objects metadata, learning designs and adaptive hypermedia as well as semantic web in this really problematic area is significant.

However, nowadays the scientific field of TEL or advanced learning technologies has true momentum: Web 2.0 sets new milestones for the exploitation of collective intelligence, social engineering and social networks and especially for TEL.

In this special issue, we explore the potential of Web 2.0 and the synergies of Web 2.0 and Semantic Web for TEL and we provide the state of the art in theoretical foundations and technological applications. We also differentiate within the development process. We apply the collaborative community enhancement model.

The issue will also host two interviews with academics and practitioners who have produced seminal work on Web 2.0/social and learning networks.

Topics include, but are not limited to, the following:
  • Web 2.0 for Learning: theoretical foundations, practices, technologies, strategies
  • Design variables and conditions for social networks
  • New forms of interaction in social systems
  • Blogging as a social activity and approaches to semantic blogs
  • Collaborative filtering in social settings
  • Analysing social interaction for finding knowledge on Web users
  • Semantic desktops
  • Social network analysis enabled by the semantic web
  • Learning and knowledge communities
  • Analysis of large online communities web communities of practice
  • Network analysis for building social networks
  • Implicit, formal, and powerful semantics in communities
  • Semantic social networks metadata and annotation techniques
  • Metadata schema describing individuals and social ties
  • Folksonomies, tagging and other collaboration-based categorisation systems
  • Wikis, semantic Wikis and other collaborative knowledge creation systems
  • Online social networking
  • Applications of online semantic networks
  • Knowledge management with semantic networks
  • Emerging human experiences in social networks
  • Analysis of human behaviour in semantic social networks
Important Dates

4-5 Pages Extended Abstract: 30 April 2007
Notification to Authors: 15 July 2007
Final Versions Due: 30 September 2007

1 comment:

Lauraine said...

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