Armin Ulbrich

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Purpose – The purpose of this paper is to suggest a way to support work-integrated learning for knowledge work, which poses a great challenge for current research and practice. Design/methodology/approach – The authors first suggest a workplace learning context model, which has been derived by analyzing knowledge work and the knowledge sources used by(More)
This work introduces an approach to discover collaboration partners and adequate advising experts in a workplace-embedded collab-orative e-learning environment. Based on existing papers dealing with work task and user context modeling, we propose the following steps towards a sucessful collaboration initiation. In the beginning, the user's current process(More)
This contribution introduces the so-called Workplace Learning Context as essential conceptualisation supporting self-directed learning experiences directly at the workplace. The Workplace Learning Context is to be analysed and exploited for retrieving 'learning' material that best-possibly matches with a knowledge worker's current learning needs. In doing(More)
After years of constant progress in developing software tools to support education and training, the focus in eLearning has recently been shifted from the supporting tools towards the learning person. It has turned out that the learning success can significantly be improved if the learning content is specifically adapted to individual learners' preferences,(More)
Diese Arbeit präsentiert die Ergebnisse einer Untersuchung von Such-maschinen-Technologien. Der Untersuchung liegt eine Befragung kommerzieller Suchmaschinen-Anbieter zugrunde, die in einem mehrstufigen Prozess durchge-führt wurden. Die Arbeit stellt Features von Suchmaschinen dar und arbeitet her-aus, welche Features durchwegs unterstützt werden und damit(More)
The goal of the APOSDLE (Advanced Process-Oriented Self-Directed Learning environment) project is to support work-integrated learning of knowledge workers. We argue that work-integrated learning requires extreme flexibility on a variety of aspects from supportive learning systems. This flexibility can not be achieved by typical (neat) eLearning systems. In(More)