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A computer-linguistic technology is used to reconstruct domain-models within different disciplines. The application of the technology from natural language processing aims both at adaptive learner modeling and domain modeling. The methodology is first introduced and afterwards three different use-cases are presented, each of them with already existing data (18 < n < 1248). Specifics for each discipline are discussed, and the use-cases are generalized to both single disciplines and multiple interdisciplinary domains.
Presenter: Pablo Pirnay-Dummer, Martin Luther University of Halle-Wittenberg
Presenter: Clara Luleich, Martin Luther University of Halle-Wittenberg
Contributor: Matthias Zaft, Martin Luther University of Halle-Wittenberg
Presenter: Norbert Pengel, Leipzig University
Presenter: Kausalai Wijekumar, Texas A&M University
Presenter: Inka Hahnlein, Martin Luther University Halle-Wittenberg
Contributor: Nils Waterstraat, Martin Luther University of Halle-Wittenberg
Contributor: Philipp Reiter, Martin Luther University of Halle-Wittenberg
Contributor: Wibke Hachmann, Martin Luther University of Halle-Wittenberg
Contributor: Laura Köbis, Leipzig University
Contributor: Eva Moser, Leipzig University
Contributor: Heinz-Werner Wollersheim, Leipzig University