Zinayida Petrushyna

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—When Internet users search for information, surf on websites or discuss with others, their actions are driven by certain goals. Extraction of users' goals can enable higher effectiveness and accuracy of web services. Supporting users in based on their goals can be highly beneficial, especially supporting of learners in the preparation for an exam as a(More)
Competence management in collaborative networks depends on the identification of gaps between the actual performance and the desired behavior. Therefore, collaborative networks need means to express their goals and intentions as well as to measure this against their own performance. In this paper, we present the i*-based modeling framework for(More)
This paper describes an experiment investigating interactions in a big forum in order to support students in learning English. Groups of collaborating users form communities that generate a lot of data that can be analyzed. We distinguish different phases of the self-regulated learning process and aim to identify them in learners' activities. Then we(More)
Environmental changes drive the evolution of organizational software systems. i* allows to model continuous requirements on social and intentional aspects of organizational software systems. However, partially computer-enacted workflows are not well supported by current tools. In this paper, we propose i*-REST, an Open Source collection of RESTful Web(More)
Personal learning environments (PLEs) comprise a new kind of learning technology which aims at putting learners into centre stage, i.e. by empowering them to design and use environments for their learning needs and purposes. Setting a PLE approach into practice, however, is not trivial at all, as the prospective end-users have varying attitudes and(More)