Fraunhofer-Institut für Angewandte Informationstechnik FIT

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  • Publication
    Early results of experiments with responsive open learning environments
    ( 2011)
    Friedrich, M.
    ;
    Wolpers, M.
    ;
    Shen, R.
    ;
    Ullrich, C.
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    Klamma, R.
    ;
    Renzel, D.
    ;
    Richert, A.
    ;
    Heiden, B. von der
    Responsive open learning environments (ROLEs) are the next generation of personal learning environments (PLEs). While PLEs rely on the simple aggregation of existing content and services mainly using Web 2.0 technologies, ROLEs are transforming lifelong learning by introducing a new infrastructure on a global scale while dealing with existing learning management systems, institutions, and technologies. The requirements engineering process in highly populated test-beds is as important as the technology development. In this paper, we will describe first experiences deploying ROLEs at two higher learning institutions in very different cultural settings. The Shanghai Jiao Tong University in China and at the "Center for Learning and Knowledge Management and Department of Information Management in Mechanical Engineering" (ZLW/IMA) at RWTH Aachen University have exposed ROLEs to theirs students in already established courses. The results demonstrated to readiness of the technology for large-scale trials and the benefits for the students leading to new insights in the design of ROLEs also for more informal learning situations.
  • Publication
    A clustering approach for collaborative filtering recommendation using social network analysis
    ( 2011)
    Pham, M.C.
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    Cao, Y.
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    Klamma, R.
    ;
    Jarke, M.
    Collaborative Filtering(CF) is a well-known technique in recommender systems. CF exploits relationships between users and recommends items to the active user according to the ratings of his/her neighbors. CF suffers from the data sparsity problem, where users only rate a small set of items. That makes the computation of similarity between users imprecise and consequently reduces the accuracy of CF algorithms. In this article, we propose a clustering approach based on the social information of users to derive the recommendations. We study the application of this approach in two application scenarios: academic venue recommendation based on collaboration information and trust-based recommendation. Using the data from DBLP digital library and Epinion, the evaluation shows that our clustering technique based CF performs better than traditional CF algorithms.
  • Publication
    Early experiences with responsive open learning environments
    ( 2010)
    Wolpers, M.
    ;
    Ullrich, C.
    ;
    Renzel, D.
    ;
    Friedrich, M.
    ;
    Klamma, R.
  • Publication
    Requirements engineering in complex domains
    ( 2010)
    Jarke, M.
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    Klamma, R.
    ;
    Sikora, E.
  • Publication
    A Web 2.0 personal learning environment for classical Chinese poetry
    ( 2009)
    Cao, Y.
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    Klamma, R.
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    Gao, Y.
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    Lau, R.W.H.
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    Jarke, M.
  • Publication
    Getting to "know" people on the web 2.0
    ( 2008)
    Cao, Y.
    ;
    Glukhova, A.
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    Klamma, R.
    ;
    Petrushyna, Z.
  • Publication
  • Publication
    Non-linear story-telling in a mobile world
    ( 2008)
    Klamma, R.
    ;
    Cao, Y.
    ;
    Glukhova, A.
    ;
    Hahne, A.
    ;
    Renzel, D.
  • Publication
    Aphasics' communities learning on the Web
    ( 2004)
    Spaniol, M.
    ;
    Klamma, R.
    ;
    Springer, L.
    ;
    Jarke, M.
    Barrier free learning on the web is one of the greatest, challenges for computer science in the future. While the growth of the internet was exponential in the last years, still many communities don't benefit from web technology for their learning issues due to improper tools and constricted communication processes. These problems increase when developing applications for communities of people with special needs. In this paper we present the case study of a cooperative web-learning environment called SOCRATES to overcome difficulties in new media usage. It supports a learning community comprising patients suffering from aphasia (aphasics), therapists, researchers on linguistics, and system developers. Aphasics using SOCRATES are now able to communicate freely among others without having to be afraid that they might get lost in rapid conversation and are now able to meet others over spatial distances while protecting their privacy in an insular virtual community.
  • Publication
    SOCRATES: Barrier free communities of aphasics on the internet
    ( 2004)
    Spaniol, M.
    ;
    Springer, L.
    ;
    Klamma, R.
    ;
    Jarke, M.
    The barrier free internet is one of the greatest challenges for computer science in the future. While in the last years the growth of the internet was exponential, still many potential user communities can not use internet technology for their communication needs because of inappropriate tools and narrowly designed communication processes. These problems become obvious when transferring applications to communities of people with special needs. Many people suffering from aphasia are not able to interact with current chat tools while need for money for therapists could be eased by such virtual self-help groups in a geographically distributed setting. This is because massive word finding problems can sum up typing a simple sentence up to several minutes. We have designed, implemented and preliminary evaluated a new chat tool for such groups. By using the tool aphasics can constantly monitor their communication behavior and in case of difficulties switch to a synchronous talk mode where up to four people can monitor typing letter by letter. Proposal for phrases can be generated by the community to help their member. Therapists and linguistic researchers can also monitor online and offline conversations from automatically generated transcripts.