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Ullmann Thomas Daniel, Wild Fridolin, Scott Peter, Duval Erik, Parra G., Reinhardt W., Heinze N., Kraker Peter, Fessl Angela, Lindstaedt Stefanie , Nagel T., Gillet D.

A science 2.0 infrastructure for technology-enhanced learning

Computer Science Education, 2010

Science 2.0 is a rather young concept and despite its short historyalready induced numerous controversial positions, oscillating between newtechnologies and new practices. Even though many TEL researchers already useScience 2.0 tools, although not always labeled as such, there is no commonlyshared practice and tools in use. Within this paper, we investigate the conceptof Science 2.0 and propose an embracing definition. From there we investigateexisting practice with pilot studies and propose a framework for further indepthstudy and elicitation of Science 2.0 practices of technology-enhancedlearning researchers. Furthermore, we propose a mash-up architecture andconcrete infrastructure to leverage Science 2.0 practice and technologies in ourfield, including the proposal of a publication feed format, a retrieval API, andthe provision of an initial set of data sources and services. We illustrate the useof this infrastructure with several Science 2.0 application examples, therebydemonstrating the strength of this infrastructure and architecture.

Stern Hermann, Kaiser Rene, Hofmair P., Lindstaedt Stefanie , Scheir Peter, Kraker Peter

Content Recommendation in APOSDLE using the Associative Network

Journal of Universal Computer Science, 2010

One of the success factors of Work Integrated Learning (WIL) is to provide theappropriate content to the users, both suitable for the topics they are currently working on, andtheir experience level in these topics. Our main contributions in this paper are (i) overcomingthe problem of sparse content annotation by using a network based recommendation approachcalled Associative Network, which exploits the user context as input; (ii) using snippets for notonly highlighting relevant parts of documents, but also serving as a basic concept enabling theWIL system to handle text-based and audiovisual content the same way; and (iii) using the WebTool for Ontology Evaluation (WTE) toolkit for finding the best default semantic similaritymeasure of the Associative Network for new domains. The approach presented is employed inthe software platform APOSDLE, which is designed to enable knowledge workers to learn atwork.

Lindstaedt Stefanie , Kraker Peter, Höfler Patrick, Fessl Angela

Feeding TEL: Building an Ecosystem Around BuRST to Convey Publication Metadata

Research 2.0 Workshop EC-TEL 2010, 2010

In this paper we present an ecosystem for the lightweight exchangeof publication metadata based on the principles of Web 2.0. At the heart of thisecosystem, semantically enriched RSS feeds are used for dissemination. Thesefeeds are complemented by services for creation and aggregation, as well aswidgets for retrieval and visualization of publication metadata. In twoscenarios, we show how these publication feeds can benefit institutions,researchers, and the TEL community. We then present the formats, services,and widgets developed for the bootstrapping of the ecosystem. We concludewith an outline of the integration of publication feeds with the STELLARNetwork of Excellence1 and an outlook on future developments.

Kraker Peter, Fessl Angela, Lindstaedt Stefanie , Ullmann T.D., Wild F., Scott P., Duval E., Vandeputte B., Parra G., Reinhardt W., Heinze N., Nagel T., Gillet D.

Components of a Research 2.0 Infrastructure

EC-TEL 2010: Fifth European Conference on Technology Enhanced Learning, Wolpers, M., Kirschner, P. A., Scheffel, M., Lindstaedt, S. N., Dimitrova, V., Springer, 2010

In this paper, we investigate the components of a Research 2.0infrastructure. We propose building blocks and their concrete implementationto leverage Research 2.0 practice and technologies in our field, including apublication feed format for exchanging publication data, a RESTful API toretrieve publication and Web 2.0 data, and a publisher suit for refining andaggregating data. We illustrate the use of this infrastructure with Research 2.0application examples ranging from a Mash-Up environment, a mobile andmultitouch application, thereby demonstrating the strength of thisinfrastructure.
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