A Competence-based Service for Supporting Self-Regulated Learning in Virtual Environments

Authors

  • Alexander Nussbaumer Graz University of Technology, Austria
  • Eva-Catherine Hillemann Graz University of Technology, Austria
  • Christian Gütl Graz University of Technology, Austria
  • Dietrich Albert Graz University of Technology, Austria

DOI:

https://doi.org/10.18608/jla.2015.21.6

Keywords:

Self regulated learning, competence‐based knowledge space theory, learning analytics, personalization, reflection, learning environments

Abstract

This paper presents a conceptual approach and a Web-based service that aim at supporting self-regulated learning in virtual environments. The conceptual approach consists of four components: 1) a self-regulated learning model for supporting a learner-centred learning process, 2) a psychological model for facilitating competence-based personalization and knowledge assessment, 3) an open learner model approach for visual interaction and feedback, and 4) a learning analytics approach for capturing relevant learner information required by the other components. The Web-based service provides a technical implementation of the conceptual approach, as well as a linkage to existing virtual environments used for learning purposes. The approach and service have been evaluated in user studies in university courses on computer science to demonstrate the usefulness of the overall approach and to get an understanding of some limitations.

Author Biography

Alexander Nussbaumer, Graz University of Technology, Austria

With a background in computer science I have been working as a  research associate at the interdiciplinary Cognitive Science Section of the Knowledge Technologies Institute at the Graz University of Technology, Austria.

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Published

2015-05-27

How to Cite

Nussbaumer, A., Hillemann, E.-C., Gütl, C., & Albert, D. (2015). A Competence-based Service for Supporting Self-Regulated Learning in Virtual Environments. Journal of Learning Analytics, 2(1), 101–133. https://doi.org/10.18608/jla.2015.21.6

Issue

Vol. 2 No. 1 (2015): Self-Regulated Learning and Learning Analytics

Section

Special section: Self-regulated learning and learning analytics

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