Authors:
Christophe Choquet
and
Sébastien Iksal
Affiliation:
LIUM Laboratory, University of Maine, France
Keyword(s):
Track modelling, Technology enhanced learning, Model driven reengineering.
Related
Ontology
Subjects/Areas/Topics:
Business Analytics
;
Communication and Software Technologies and Architectures
;
Data Engineering
;
Data Semantics
;
Data Warehouses and Data Mining
;
e-Business
;
Enterprise Information Systems
Abstract:
In the context of distance learning and teaching, the re-engineering process needs a feedback on the learners' usage of the learning system. The feedback is given by numerous vectors, such as interviews, questionnaires, videos or log files. We consider that it is important to interpret tracks in order to compare the designer’s intentions with the learners’ activities during a session. In this paper, we present the usage tracking language – UTL. This language is designed to be generic and we present an instantiation of a part of it with IMS-Learning Design, the representation model we chose for our three years of experiments.