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Where Is My Time? Identifying Productive Time of Lifelong Learners for Effective Feedback Services

  • Bernardo Tabuenca
  • Marco Kalz
  • Dirk Börner
  • Stefaan Ternier
  • Marcus Specht
Part of the Communications in Computer and Information Science book series (CCIS, volume 439)

Abstract

Lifelong learners are confronted with a broad range of activities they have to manage every day. In most cases they have to combine learning, working, family life and leisure activities throughout the day. Hence, learning activities from lifelong learners are disrupted. The difficulty to find a suitable time slot to learn during the day has been identified as the most frequent cause. In this scenario mobile technologies play an important role since they can keep track of the most suitable moments to accomplish specific learning activities in context. Sampling of learning preferences on mobile devices is a key benchmarks for lifelong learners to become aware on which learning task suits in which context, to set realistic goals and to set aside time to learn on a regular basis. The contribution of this manuscript is twofold: first, a classification framework for modelling lifelong learners’ preferences is presented based on a literature review; second, a mobile application for experience sampling is piloted aiming to identify which are the preferences from lifelong learners regarding when, how and where learning activities can be integrated.

Keywords

lifelong learning experience sampling mobile learning selfregulated learning reflection 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Bernardo Tabuenca
    • 1
  • Marco Kalz
    • 1
  • Dirk Börner
    • 1
  • Stefaan Ternier
    • 1
  • Marcus Specht
    • 1
  1. 1.Welten Institute, Research Centre for Learning, Teaching and TechnologyOpen University of the NetherlandsHeerlenThe Netherlands

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