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Mannheim, Germany

Hernandez Rizzardini R.,Galileo University | Linares B.H.,Galileo University | Mikroyannidis A.,Open University Milton Keynes | Schmitz H.-C.,Institute For Deutsche Sprache
Journal of Universal Computer Science | Year: 2013

The ROLE project (Responsive Open Learning Environments, EU 7th Framework Programme, grant agreement no.: 231396, 2009-2013) was focused on the next generation of Personal Learning Environments (PLEs). A ROLE PLE is a bundle of interoperating widgets -often realised as cloud services - used for teaching and learning. In this paper, we first describe the creation of new ROLE widgets and widget bundles at Galileo University, Guatemala, within a cloud-based infrastructure. We introduce an initial architecture for cloud interoperability services including the means for collecting interaction data as needed for learning analytics. Furthermore, we describe the newly implemented widgets, namely a social networking tool, a mind-mapping tool and an online document editor, as well as the modification of existing widgets. The newly created and modified widgets have been combined in two different bundles that have been evaluated in two web-based courses at Galileo University, with participants from three different Latin-American countries. We measured emotional aspects, motivation, usability and attitudes towards the environment. The results demonstrated the readiness of cloud-based education solutions, and how ROLE can bring together such an environment from a PLE perspective. © J.UCS.

Prevot L.,Aix - Marseille University | Gorisch J.,Institute For Deutsche Sprache | Mukherjee S.,Italian Institute of Technology
29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015 | Year: 2015

Feedback utterances are among the most frequent in dialogue. Feedback is also a crucial aspect of all linguistic theories that take social interaction involving language into account. However, determining communicative functions is a notoriously difficult task both for human interpreters and systems. It involves an interpretative process that integrates various sources of information. Existing work on communicative function classification comes from either dialogue act tagging where it is generally coarse grained concerning the feedback phenomena or it is token-based and does not address the variety of forms that feedback utterances can take. This paper introduces an annotation framework, the dataset and the related annotation campaign (involving 7 raters to annotate nearly 6000 utterances). We present its evaluation not merely in terms of inter-rater agreement but also in terms of usability of the resulting reference dataset both from a linguistic research perspective and from a more applicative viewpoint.

The public accessibility and comprehension of scientific aims and results fundamentally influences the social acceptability and receptiveness of research. The contents of up-to-date research in the (natural) sciences are, however, not easily accessible to a lay audience because of many interfering factors. Aiming at the optimization of scientific publications in German print and online media, we investigate and validate present-day popular science discourse within our project PopSci-Understanding Science. For this purpose, stylistic features of German popular-science writing are identified through corpus-based research and their effects on the lay reader's processing of these texts are measured experimentally. The resulting recommendations will improve the linguistic style and knowledge representation of written and web-based publications. © 2015 by Walter de Gruyter Berlin Boston 2015.

Schnober C.,Institute For Deutsche Sprache
11th Conference on Natural Language Processing, KONVENS 2012: Empirical Methods in Natural Language Processing - Proceedings of the Conference on Natural Language Processing 2012 | Year: 2012

This paper describes a practical approach to use the information retrieval engine Lucene for the corpus analysis platform KorAP, currently being developed at the Institut für Deutsche Sprache (IDS Mannheim). It presents a method to use Lucene's indexing technique and to exploit it for linguistically annotated data, allowing full flexibility to handle multiple annotation layers. It uses multiple indexes and MapReduce techniques in order to keep KorAP scalable.

Nussbaumer A.,University of Graz | Dahrendorf D.,Multimedia University | Schmitz H.-C.,Institute For Deutsche Sprache | Kravcik M.,RWTH Aachen | And 2 more authors.
Computer Science and Information Systems | Year: 2014

This article presents an approach that supports the creation of personal learning environments (PLE) suitable for self-regulated learning (SRL). PLEs became very popular in recent years offering more personal freedom to learners than traditional learning environments. However, creating and configuring PLEs demand specific meta-skills that not all learners have. This situation leads to the challenge how learners can be supported to create PLEs that are useful to achieve their intended learning outcomes. The theory of SRL describes learners as self-regulated if they are capable of taking over control of the own learning process. Grounding on that theory, a model has been elaborated that offers guidance for the creation of PLEs containing tools for cognitive and meta-cognitive learning activities. The implementation of this approach has been done in the context of the ROLE infrastructure. A quantitative and qualitative evaluation with teachers describes advantages and ideas for improvement.

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