Recommender and Guidance Strategies for Creating Personal Mashup Learning Environments

Alexander Nussbaumer¹, Daniel Dahrendorf², Hans-Christian Schmitz³, Milos Kravcık⁴, Marcel Berthold¹ and Dietrich Albert^{1, 5}

Knowledge Technologies Institute, Graz University of Technology
8010 Graz, Austria
{alexander.nussbaumer, dietrich.albert}@tugraz.at
imc Information Multimedia Communication AG
Scheer Tower, Uni-Campus Nord, 66123 Saarbruecken, Germany
daniel.dahrendorf@im-c.de
Institut fur Deutsche Sprache
R 5, 6-13, 68161 Mannheim, Germany
schmitz@ids-mannheim.de
Lehrstuhl Informatik 5, RWTH Aachen University
Ahornstrasse 55, 52056 Aachen, Germany
kravcik@dbis.rwth-aachen.de
Department of Psychology, University of Graz
Universitatsplatz 2, 8010 Graz, Austria

Abstract

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.

Key words

self-regulated learning, personal learning environments, recommender, widget, widget store, mashup, ontology, learning activities

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS121210011N

Publication information

Volume 11, Issue 1 (January 2014)
Year of Publication: 2014
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Nussbaumer, A., Dahrendorf, D., Schmitz, H., Kravcık, M., Berthold, M., Albert, D.: Recommender and Guidance Strategies for Creating Personal Mashup Learning Environments. Computer Science and Information Systems, Vol. 11, No. 1, 321–342. (2014), https://doi.org/10.2298/CSIS121210011N