Gaze-Based Real-Time Adaptivity and Adaptability in an eLearning Environment: A Pre-release Insight

  • Holger SchmidtEmail author
  • Alexander Henka
  • Gottfried Zimmermann
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 498)


As part of the ScienceCampus Tübingen, we conduct empirical research on learning strategies, in particular with regard to system adaptivity. For this purpose, we developed a web-based eLearning platform called ALM (Adaptive Learning Module) which adapts the learning content based on a real-time analysis of the user’s gaze data as observed by an eye-tracker. This paper describes work in progress and provides a technical insight on the state of our platform and how we plan to shape the application for the planned open-source release this fall. In addition to the technical overview, we provide application examples from actual research studies as well as a vision for the productive use of the learning environment for educational topics.


Eye-Tracking Gaze-Tracking Gaze-Based interaction eLearning platform Eye movement Fixations Transitions Gaze events Eye movement modelling Eye movement analysis Gaze analysis Web-based eLearning 



This research has been conducted within the ScienceCampus Tübingen “Informational Environments”, an interdisciplinary research collaboration of the Knowledge Media Research Center and the University of Tübingen, with funding from the German state of Baden-Württemberg, Ministry of Science, Research and the Arts. This publication reflects only the authors’ views and the funding agency is not liable for any use that may be made of the information contained herein.


  1. 1.
  2. 2.
    Plötzner, Rolf, University of Education Freiburg. (2016)
  3. 3.
    Renkl, Alexander, University of Freiburg. (2016)
  4. 4.
    Scheiter, Katharina, Knowledge Media Research Center Tübingen. (2016)
  5. 5.
  6. 6.
    Ilias 4 Open-Source Framework. (2016)
  7. 7.
    Wassermann, B., Hardt, A., Zimmermann, G.: Generic Gaze Interaction Events for Web Browsers: Using the Eye Tracker as Input Device, Lyon (2012)Google Scholar
  8. 8.
    Schmidt, H., Wassermann, B., Zimmermann, G.: An adaptive and adaptable learning platform with real-time eye-tracking support: lessons learned, Freiburg (2014)Google Scholar
  9. 9.
    Kalyuga, S., Sweller, J.: Rapid dynamic assessment of expertise to improve the efficiency of adaptive e-learning (2006)Google Scholar
  10. 10.
    Renkl, A., Skuballa, I.T., Schwonke, R., Harr, N., Leber, J.: The effects of rapid assessments and adaptive restudy prompts in multimedia learning (2015)Google Scholar
  11. 11.
    Schwonke, R., Berthold, K., Renkl, A.: How multiple external representations are used and how they can be made more useful (2009)Google Scholar
  12. 12.
    Harich, N., Gebauer, S., Schmidt, H., Zimmermann, G.: Cross-Platform Web Framework for Gaze Tracking, Venice, Italy (2016)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  • Holger Schmidt
    • 1
    Email author
  • Alexander Henka
    • 1
  • Gottfried Zimmermann
    • 1
  1. 1.Responsive Media Experience Research Group (REMEX)Stuttgart Media UniversityStuttgartGermany

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