Exploiting Context Information for Identification of Relevant Experts in Collaborative Workplace-Embedded E-Learning Environments

Lokaiczyk, Robert; Godehardt, Eicke; Faatz, Andreas; Goertz, Manuel; Kienle, Andrea; Wessner, Martin; Ulbrich, Armin

doi:10.1007/978-3-540-75195-3_16

Cited by 9 publications

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From the educational perspective, the major benefit of the proposed integration is the increased student-student and student-teacher interactivity stemming from the provision of the advanced peer, expert, and teacher finding services. Unlike other reported approaches to context-aware discovery and recommendation of collaboration partners and experts (e.g., the work described in [7]), our approach, demonstrated in the DEPTHS learning environment, allows for the integration of users' online presence data from diverse sources (i.e., systems and tools) and the compilation of recommendations based on this ubiquitous online presence awareness. Thanks to the shared understanding of the online presence, learning systems can adapt their feedback as per factors such as who is online, who to contact, who is nearby, and how to contact.…”

Section: Discussionmentioning

confidence: 96%

Online Presence in Adaptive Learning on the Social Semantic Web

Jovanović

Gašević

Stanković

et al. 2009

2009 International Conference on Computational Science and Engineering

View full text Add to dashboard Cite

In adaptive learning environments, this exchange of online presence data cannot be considered isolated from the overall learning context. However, there is yet no systematic solution to exchanging and integrating online presence data from diverse instant messaging and social networking applications. To address this issue, we propose an ontology-based approach to sharing online presence data in adaptive learning environments through the use of the Online Presence Ontology. This ontology is integrated into the Learning Object Context Ontology framework, which allows for capturing and unambiguous representation of all relevant data about students online presence, their mutual interactions, as well as their interactions with learning resources. On top of this ontology framework, we have developed innovative, contextaware learning services presented in this paper. The use of these services is demonstrated in a learning environment for studying software patterns.

show abstract

Section: Discussionmentioning

confidence: 96%