In the learning analytics track we had a paper on "Learning Analytics for Learning Blogospheres" . It combines research from the TELMAP as well from the TELLNET project.
Manh Pham, Michael Derntl, Yiwei Cao, Ralf Klamma: Learning Analytics for Learning Blogospheres, in E. Popescu et al. (Eds.): ICWL 2012, LNCS 7558, pp. 255–264, 2012. Springer-Verlag Berlin Heidelberg 2012
Abstract. In blogospheres the learning process is characterized by evolving roles of bloggers and dynamic change of content. Existing approaches for learning blogospheres do not provide a comprehensive solution to dealing with these dynamics. In this paper, we propose a learning analytics approach for learning blogospheres unifying two complementary perspectives: (1) structural analysis of the blogosphere to identify learners' social capital; and (2) content analysis to capture dynamics in blog content over time. To support both types of analysis, social network analysis methods are applied as a fundamental approach to analyzing and visualizing knowledge sharing on learning blogospheres. We exemplify the learning analytics approach using two real-world learning blogospheres: the Mediabase - a large blog collection for technology enhanced learning, and the European eTwinning Network - a lifelong learning blogsphere. Results show that both analytics perspectives in combination advocate an advanced learning analytics approach to understanding and assessing learning processes in learning blogospheres.
In the personal learning environments track we had a paper on "A Mashup Recommender for Creating Personal Learning Environments". It presents research from the ROLE project. This paper won the ICWL 2012 best paper award!
Alexander Nussbaumer, Marcel Berthold, Daniel Dahrendorf, Hans-Christian Schmitz, Milos Kravcik, Dietrich Albert: A Mashup Recommender for Creating Personal Learning Environments, in E. Popescu et al. (Eds.): ICWL 2012, LNCS 7558, pp. 79–88, 2012. Springer-Verlag Berlin Heidelberg 2012 (Best Paper Award)Abstract. This paper presents an approach and an integrated tool that supports the creation of personal learning environments suitable for self-regulated learning. The rationale behind this approach is an ontology of cognitive and meta-cognitive learning activities that are related to widgets from a Widget Store. Patterns of such learning activities allow for providing the user with appropriate recommendations of widgets for each learning activity. The system architecture follows a Web-based approach and includes the Mashup Recommender widget and its backend service, the ontology available through a Web service, the Widget Store with its interface to retrieve widgets, and the integration into the learning environment framework. The pedagogical approach regarding the usage of this technology is based on self-regulated learning taking into account different levels between guidance and freedom. A quantitative and qualitative evaluation with teachers describes advantages and ideas for improvement.
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