A framework for the domain-independent collection of attention metadata

  • Authors:
  • Maren Scheffel;Martin Friedrich;Katja Niemann;Uwe Kirschenmann;Martin Wolpers

  • Affiliations:
  • Fraunhofer Institute for Applied Information Technology, Sankt Augustin, Germany;Fraunhofer Institute for Applied Information Technology, Sankt Augustin, Germany;Fraunhofer Institute for Applied Information Technology, Sankt Augustin, Germany;Fraunhofer Institute for Applied Information Technology, Sankt Augustin, Germany;Fraunhofer Institute for Applied Information Technology, Sankt Augustin, Germany

  • Venue:
  • EC-TEL'10 Proceedings of the 5th European conference on Technology enhanced learning conference on Sustaining TEL: from innovation to learning and practice
  • Year:
  • 2010

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Abstract

We present a simple and extendible framework to collect attention metadata and store them for further analysis. Currently, several metadata collectors have been implemented but the framework allows the easy integration of further data collectors. Analysis results, e.g. recommendations or fostering of self-reflection, can then support the user in her learning.