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From keyword extraction to key action extraction

Presentation held at Alpine Rendez-Vous 2011, Workshop 6: dataTEL - Data Sets for Technology Enhanced Learning, April 2011, La Clusaz, France
: Scheffel, Maren; Niemann, Katja; Schmidt, Kerstin; Schmitz, Hans-Christian; Wolpers, Martin

Volltext urn:nbn:de:0011-n-1944667 (98 KByte PDF)
MD5 Fingerprint: 2dfd10076cfb556759d3b35ec4f2aa80
Erstellt am: 15.2.2012

Alpine Rendez-Vous (ARV) <2, 2011, La Clusaz>
Workshop "dataTEL - Data Sets for Technology Enhanced Learning" <2011, La Clusaz>
Vortrag, Elektronische Publikation
Fraunhofer FIT ()
key action extraction; computational linguistic; self-regulated learning

In this paper, we present a new approach where we apply text mining approaches from computational linguistics to identify key action within usage data. The key actions identify the more relevant activity patterns of a learner and thereby provide information on the learning goals and its current status. This information is being used for self-directed learning approaches.