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As the integration of community-centred teaching practices intensifies, an understanding of the types of relationships that manifest in this network and the associated impact on student learning is required. This paper explores the relationship between a student's position in a classroom social network and their reported level of sense of community. Quantitative methods, such as Rovai's (2002b) Classroom Community Scale and social network centrality measures, were incorporated to evaluate an individual's level of sense of community and their position within the classroom social network. Qualitative methods such as discussion forum content analysis and student interviews were adopted to clarify and further inform this relationship. The results demonstrate that the centrality measures of  closeness and  degrees are positive predictors of an individual's reported sense of community whereas,  betweenness indicates a negative correlation. Qualitative analyses indicate that an individual's pre-existing external social network influences the type of support and information exchanges an individual requires and therefore, the degree of sense of community ultimately experienced. The paper concludes by discussing future recommendations for teaching practices incorporating computer-mediated communications. 

"VizThink is a global community for visual thinkers and communicators who like to get beyond words and believe that visuals can be an effective tool whether you're just trying to work through your ideas or working to get your message across as simply as possible." Shared by Adam Weisblatt during Feb 18, 2011 web conference with Simon Buckingham Shum

An entity graph of people, places and things, built by a community that loves open data.

sharing and communicating

A data analysis service for the learning science community

Last week ReadWriteWeb asked: "Is Linked Data Gaining Acceptance?" Our answer: definitely yes. Projects like DBPedia, a community effort to structure the information from Wikipedia and provide it as Linked Open Data, have come a long way and work really well. For example, you can search for all scientists born in Zürich, Switzerland.

SDArch - Semantic Document Architecture is our atempt to bring the vision of the Semantic Web to desktop office-like documents. SDArch aims at enabling desktop document data to be efficiently discovered, linked and shared across application, enterprise and community boundaries. It introduces 'semantic documents' as completely open and queryable resources, containing data which is uniquely identified, semantically annotated and understandable by both humans and software agents.

Data alone isn't the answer. In fact, from a business perspective, the data is still part of problem. Insight is the answer, which is derived from the data.

How to create annotations in a Moodle discussion forum.

Can also probably use Diigo to do something similar (e.g., via public sticky notes). Always wonder if that's rude though...you don't give the Moodling person (who might not be using Diigo or the annotation tool) the oppt to respond.

DBpedia is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to ask sophisticated queries against Wikipedia, and to link other data sets on the Web to Wikipedia data.