Computer Science and Information Systems 2014 Volume 11, Issue 1, Pages: 321-342
https://doi.org/10.2298/CSIS121210011N
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Cited by
Recommender and guidance strategies for creating personal mashup learning environments
Nussbaumer Alexander (Knowledge Technologies Institute, Graz University of Technology, Graz, Austria)
Dahrendorf Daniel (Information Multimedia Communication AG Scheer Tower, Uni-Campus Nord, Saarbruecken, Germany)
Schmitz Hans-Christian (Institut für Deutsche Sprache, Mannheim, Germany)
Kravčík Miloš (Lehrstuhl Informatik, RWTH Aachen University, Aachen, Germany)
Berthold Marcel (Knowledge Technologies Institute, Graz University of Technology, Graz, Austria)
Albert Dietrich (Knowledge Technologies Institute, Graz University of Technology Graz, Austria + Department of Psychology, University of Graz, Graz, Austria)
This article presents an approach that supports the creation of personal
learning environments (PLE) suitable for self-regulated learning (SRL). PLEs
became very popular in recent years offering more personal freedom to
learners than traditional learning environments. However, creating and
configuring PLEs demand specific meta-skills that not all learners have.
This situation leads to the challenge how learners can be supported to
create PLEs that are useful to achieve their intended learning outcomes. The
theory of SRL describes learners as self-regulated if they are capable of
taking over control of the own learning process. Grounding on that theory, a
model has been elaborated that offers guidance for the creation of PLEs
containing tools for cognitive and meta-cognitive learning activities. The
implementation of this approach has been done in the context of the ROLE
infrastructure. A quantitative and qualitative evaluation with teachers
describes advantages and ideas for improvement.
Keywords: self-regulated learning, personal learning environments, recommender, widget, widget store, mashup, ontology, learning activities