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eLearning erfreut sich auch im organisationalen Kontext immer grö-ßerer Beliebtheit. Mit den Möglichkeiten mobiler Endgeräte wie Tablets erge-ben sich für professionelles Lernen und Wissensmanagement neue Perspekti-ven. Das hier vorgestellte Projekt PRiME (Professional Reflective Mobile Personal Learning Environments) vereint Lern-und Arbeitsprozesse und(More)
A key area of application for Learning Analytics (LA) and Educational Data Mining (EDM) is lifelong learner modeling. The aim is that data gathered from different learning environments would be fed into a personal lifelong learner model that can be used to foster personalized learning experiences. As learning is increasingly happening in open and networked(More)
There are many different ways and models how to characterize usage data to enable representation of user actions across learning management system, and systems in general. Based on this data, learning analytics can perform different analysis and provide personalized and meaningful information to improve the learning and teaching processes. There is a(More)
Learning analytics (LA) and Educational data mining (EDM) have emerged as promising technology-enhanced learning (TEL) research areas in recent years. Both areas deal with the development of methods that harness educational data sets to support the learning process. A key area of application for LA and EDM is learner modelling. Learner modelling enables to(More)
The demands on today’s learner havec hanged over the recent years as the understanding of his role evolved. Getting away from the traditional top-down approaches, the learner is more and more in control of selecting learning resources or choosing the right learning techniques. On the one hand, by following the idea of a learner-centric Personal Learning(More)