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Karin Schöfegger

Karin Schöfegger
Organization: TU Graz
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2010

Weber, Nicolas, Nelkner, Tobias, Schoefegger, Karin, Lindstaedt, Stefanie N.
SIMPLE - a social interactive mashup PLE
In: Wild, Fridolin and Kalz, Marco and Palmér, Matthias and Müller, Daniel (eds.): Proceedings of the Third International Workshop on Mashup Personal Learning Environments (MUPPLE09), in conjunction with the 5th European Conference on Technology Enhanced Learning (EC-TEL2010), 2010

Schoefegger, Karin, Seitlinger, Paul, Ley, Tobias
Towards a user model for personalized recommendations in work-integrated learning: A report on an experimental study with a collaborative tagging system
In: Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010), Procedia Computer Science, 2010, pp. 2829-2838

Abstract The informal setting of learning at work give rise for unique challenges to the field of technology enhanced learning systems. Personalized recommendations taking into account the current context of the individual knowledge worker are a powerful approach to overcome those challenges and effectively support the knowledge workers to meet their individual information needs. Basis for these recommendations to adopt to the current context of a knowledge worker can be provided by user models which reflects the topics knowledge workers are dealing with and their corresponding knowledge levels, but research has only focused on user modeling in settings with a static underlying domain model so far. We suggest to model the users’ context based on the emergent topics they are dealing with and their individual current knowledge levels within these topics by extracting the necessary information from the user’s past activities within the system. Based on data from an experiment with students learning a new topic with the help of a collaborative tagging system, we started to evaluate this approach and report on first results.

2009

Schoefegger, Karin, Weber, Nicolas, Lindstaedt, Stefanie, Ley, Tobias
Knowledge Maturing Services: Supporting Knowledge Maturing in Organisational Environments
In: Knowledge Science, Engineering and Management, Lecture Notes in Computer Science vol. 5914, Springer, 2009, pp. 370-381

Abstract The changes in the dynamics of the economy and the corresponding mobility and fluctuations of knowledge workers within organizations make continuous social learning an essential factor for an organization. Within the underlying organizational processes, Knowledge Maturing refers to the the corresponding evolutionary process in which knowledge objects are transformed from informal and highly contextualized artifacts into explicitly linked and formalized learning objects. In this work, we will introduce a definition of Knowledge (Maturing) Services and will present a collection of sample services that can be divided into service functionality classes supporting Knowledge Maturing in content networks. Furthermore, we developed an application of these sample services, a demonstrator which supports quality assurance within a highly content based organisational context.

Schöfegger, Karin, Seitlinger, Paul, Ley, Tobias
Temporal Patterns in Collaborative Tagging: Analyzing Maturing of Semantic Knowledge Structures
In: Svihla, Vanessa (eds.): It’s about time: Exploring temporality in group learning. Alpine Rendez-Vous, Garmisch-Partenkirchen, December 2009, 2009

Schoefegger, Karin, Weber, Nicolas, Lindstaedt, Stefanie N., Ley, Tobiay
Knowledge Maturing Services: Supporting Knowledge Maturing in Organisational Environments
In: Proceedings of Knowledge Science, Engineering and Management (KSEM), 2009

Weber, Nicolas, Schoefegger, Karin, Bimrose, Jenny, Ley, Tobias, Lindstaedt, Stefanie, Brown, Alan, Barnes, Sally-Anne
Knowledge Maturing in the Semantic MediaWiki: A design study in career guidance
In: Learning in the Synergy of Multiple Disciplines. Fourth European Conference on Technology Enhanced Learning (EC-TEL 2009), Nice, France, 2009