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.
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Scheffel, M., Friedrich, M., Niemann, K., Kirschenmann, U., Wolpers, M. (2010). A Framework for the Domain-Independent Collection of Attention Metadata. In: Wolpers, M., Kirschner, P.A., Scheffel, M., Lindstaedt, S., Dimitrova, V. (eds) Sustaining TEL: From Innovation to Learning and Practice. EC-TEL 2010. Lecture Notes in Computer Science, vol 6383. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16020-2_32
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DOI: https://doi.org/10.1007/978-3-642-16020-2_32
Publisher Name: Springer, Berlin, Heidelberg
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