Tracing Self-Regulated Learning in Responsive Open Learning Environments

  • Dominik RenzelEmail author
  • Ralf Klamma
  • Milos Kravcik
  • Alexander Nussbaumer
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9412)


Self-Regulated Learning (SRL) and related meta-cognitive learning competences help to increase learning progress. However, facilitating the acquisition of such competences with learning technologies is challenging. Training requires an individualized approach and the right balance between the learner’s freedom and guidance. To support SRL, we applied personalisation and adaptive technologies in the development of an Open Source toolkit for Responsive Open Learning Environments (ROLE). In this paper we present a conceptual foundation for the operationalization of self-regulated learning in personal learning environments as a cyclic process model. Furthermore, we present results of a long-term usage data analysis of the ROLE Sandbox, an open and free Web-based hosting environment for personal learning environments. In particular, we trace self-regulated learning activities in three years of productive operation. We conclude our findings with guidelines for self-regulated learning in personal learning environments.


Self-regulated learning Personal learning environments Long-term evaluation Guidelines 



This research was supported by the European Commission in the 7th Framework Programme project Learning Layers, grant no. 318209.


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Dominik Renzel
    • 1
    Email author
  • Ralf Klamma
    • 1
  • Milos Kravcik
    • 1
  • Alexander Nussbaumer
    • 2
  1. 1.Advanced Community Information Systems (ACIS) Group Chair of Computer Science 5RWTH Aachen UniversityAachenGermany
  2. 2.Knowledge Technologies InstituteGraz University of TechnologyGrazAustria

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