Hendrik Thüs

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The personal learning environment (PLE) concept offers a learner-centric view of learning and suggests a shift from knowledge-push to knowledge-pull approach to learning. One concern with a PLE-driven knowledge-pull approach to learning, however, is information overload. Recommender systems can provide an effective mechanism to deal with the information(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)
eLearning erfreut sich auch im organisationalen Kontext immer größerer Beliebtheit. Mit den Möglichkeiten mobiler Endgeräte wie Tablets ergeben sich für professionelles Lernen und Wissensmanagement neue Perspektiven. Das hier vorgestellte Projekt PRiME (Professional Reflective Mobile Personal Learning Environments) vereint Lernund 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)
The Personal Learning Environment (PLE) driven approach to learning suggests a shift in emphasis from a teacher driven knowledge-push to a learner driven knowledgepull learning model. One concern with knowledge-pull approaches is knowledge overload. Thus, there is a crucial need for knowledge filters to help learners cope with the problem of knowledge(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)