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Auflistung nach Autor:in "Greven, Christoph"

1 - 4 von 4
  • Konferenzbeitrag
    Graph Complexity in visual recommender systems for scientific literature
    (Mensch und Computer 2016 – Workshopband, 2016) Abels, Stephan; Greven, Christoph; Valdez, André Calero; Schroeder, Ulrik; Ziefle, Martina
    Digital libraries are becoming larger, while suffering from inefficient interfaces and search patterns. Recommender Systems are a sensible and important service for users of digital libraries. The aim of recommender systems is to reduce cognitive effort, simplify search and to embed results in a larger context. In this article we compare to recommender systems – the Action Science Explorer and Papercube. Both systems are used to recommend scientific literature and use graph-based approaches. From user studies we derive the need for research to understand complexity of graphs.
  • Konferenzbeitrag
    Kontexterfassung, -modellierung und -auswertung in Lernumgebungen
    (DeLFI 2014 - Die 12. e-Learning Fachtagung Informatik, 2014) Thüs, Hendrik; Chatti, Mohamed Amine; Greven, Christoph; Schroeder, Ulrik
    Bei der Generierung von personalisierten Empfehlungen und Feedback sowie bei Visualisierungen zur Selbstreflexion sind Informationen über den Kontext eines Lernenden unverzichtbar. Durch die immer weiter fortschreitende Digitalisierung in der heutigen Zeit und der zunehmenden Verbreitung mobiler Endgeräte erstreckt sich der Kontext, in dem sich ein Lernender bewegt, über immer mehr Geräte. Neben dem Desktop-PC kommen meist noch ein Smartphone und ein Tablet zum Einsatz. Mit Hilfe von zentralisiert gespeicherten Kontextmodellen, die durch die Nutzung verteilter Geräte gespeist werden, können Lernumgebungen in der Generierung von personalisierten Rückmeldungen unterstützt werden, ohne dass jede einzelne die benötigten Informationen redundant selbst generieren muss. In diesem Beitrag wird ein Projekt vorgestellt, welches eine Möglichkeit bietet, verteilt erfasste Kontextinformationen zentral abzulegen und in Form eines Kontextmodells abrufbar vorzuhalten.
  • Konferenzbeitrag
    Seamless application ecologies as mobile personal learning environments
    (DeLFI 2015 -- Die 13. E-Learning Fachtagung Informatik, 2015) Greven, Christoph; Gooranourimi, Navid; Sharifi, Shima Amin; Thüs, Hendrik; Chatti, Mohamed Amine; Schroeder, Ulrik
    The demands on today's learner have changed 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 Environment it is now possible to freely design an own learning environment with all required tools to improve the learning process. On the other hand, the ubiquitous usage of mobile devices such as smart phones or tablet computers creates the basis for new modern learning scenarios. While different applications for the devices already allow an individual aggregation of tools they are still highly separated and cannot interact beyond the borders of one application. In this paper, we present a new approach realizing application ecologies on mobile devices which allow integrating services and functionalities of one application into another one. This may happen ad-hoc without involvement of application developers resulting in high extensibility. Furthermore, it allows the user to adjust the app system according to his needs and creates the impression of one seamless mobile PLE consisting of an adjustable set of applications.
  • Konferenzbeitrag
    Supporting Novice Researchers in Domain Familiarization – A Question-Guided Research Community Map Creation and Reflection Tool
    (DeLFI 2018 - Die 16. E-Learning Fachtagung Informatik, 2018) Hardat, Shruti; Greven, Christoph; Schroeder, Ulrik
    The first step to starting research is to familiarize with the research field, which is a difficult task for non-experts. They usually do not know which exact information to gather or which strategy to follow. There exists some literature on supporting them by means of guidelines, visualizations and critical thinking. However, they must be supported such that they can form their own strategies to objectively evaluate the research field. Therefore, a tool was developed to help non-experts identify which information to gather, structure the gathered information by means of a visualization and perform the task in a time-efficient manner. Finally, a user study was conducted to investigate the validity of the proposed approach. Results show that the developed software tool supports non-experts in their literature review process by providing them with an overview of the research field and making the process time-efficient.