Enriching (Learning) Community Platforms with Learning Analytics Components

  • Tilman Göhnert
  • Sabrina Ziebarth
  • Nils Malzahn
  • Heinz Ulrich Hoppe
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8658)


In this paper we present a generic and extensible analytics workbench and show how it can be integrated with learning environments in order to analyze the learners’ activities. As the analytics workbench already supports a wide range of analysis types including network analysis, statistical analysis, and analysis of activity logs, the main effort needed for embedding learning analytics features into a learning platform lies in data exchange for input and output of analysis processes between the learning platform and the workbench. However the analytics workbench is also designed for extensibility so that more specific analysis capabilities can be added to it easily if desired. We report three case studies of such integrations and show the benefits for different target groups.


learning analytics analysis workbench integration 


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  1. 1.
    1st international conference on learning analytics and knowledge, Banff, Alberta, February 27-March 1 (2011),
  2. 2.
    Beuster, L., Elkina, M., Fortenbacher, A., Kappe, L., Merceron, A., Pursian, A., Schwarzrock, S., Wenzlaff, B.: Lemo: An analytics tool for lmss as well as portals. Poster Presentation at the LAK 2013 (2013),
  3. 3.
    Gelernter, D.: Generative communication in linda. ACM Trans. Program. Lang. Syst. 7(1), 80–112 (1985)CrossRefzbMATHGoogle Scholar
  4. 4.
    Göhnert, T., Harrer, A., Hecking, T., Hoppe, H.U.: A workbench to construct and re-use network analysis workflows – concept, implementation, and example case. In: Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (2013)Google Scholar
  5. 5.
    Malzahn, N., Ganster, T., Sträfling, N., Krämer, N., Hoppe, H.U.: Motivating students or teachers? challenges for a successful implementation of online-learning in industry-related vocational training. In: Hernández-Leo, D., Ley, T., Klamma, R., Harrer, A. (eds.) EC-TEL 2013. LNCS, vol. 8095, pp. 191–204. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  6. 6.
    Rodríguez-Triana, M.J., Martínez-Monés, A., Asensio-Pérez, J.I., Dimitriadis, Y.: Script-aware monitoring model: Using teachers’ pedagogical intentions to guide learning analytics. In: Towards Theory and Practice of Teaching Analytics (TAPTA) – Workshop in Conjunction with the EC-TEL 2012, Saarbrücken, Germany (2012),
  7. 7.
    Weinbrenner, S.: SQLSpaces – A Platform for Flexible Language-Heterogeneous Multi-Agent Systems. Ph.D. thesis, Universität Duisburg-Essen (2012)Google Scholar
  8. 8.
    Ziebarth, S., Kötteritzsch, A., Hoppe, H.U., Dini, L., Schröder, S., Novak, J.: Design of a collaborative learning platform for medical doctors specializing in family medicine. In: To See the World and a Grain of Sand: Learning Across Levels of Space, Time, and Scale: CSCL 2013 Conference Proceedings, pp. 205–208 (2013)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Tilman Göhnert
    • 1
  • Sabrina Ziebarth
    • 1
  • Nils Malzahn
    • 2
  • Heinz Ulrich Hoppe
    • 1
  1. 1.COLLIDE GroupUniversity of Duisburg-EssenGermany
  2. 2.Rhine-Ruhr Institute for Applied System InnovationDuisburgGermany

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