Where is my time? Identifying productive time of lifelong learners for effective feedback services

Bernardo Tabuenca, Marco Kalz, Dirk Börner, Stefaan Ternier, Marcus Specht

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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    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 are key benchmarks for lifelong learners to become aware on which learning task suits in which context, set realistic goals and 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. Both framework and pilot provide an important scaffold for lifelong learners to identify productive times during the day with mobile technologies.
    Original languageEnglish
    Title of host publicationComputer Assisted Assessment. Research into E-Assessment
    EditorsMarco Kalz, Eric Ras
    PublisherSpringer International Publishing
    Pages149-161
    Number of pages13
    ISBN (Electronic)978-3-319-08657-6
    ISBN (Print)978-3-319-08656-9
    DOIs
    Publication statusPublished - 30 Jul 2014
    EventInternational Conference on Computer Assisted Assessment - Zeist, Netherlands
    Duration: 30 Jun 20141 Jul 2014

    Publication series

    SeriesCommunications in Computer and Information Science
    Volume439
    ISSN1865-0929

    Conference

    ConferenceInternational Conference on Computer Assisted Assessment
    Abbreviated titleCAA 2014
    Country/TerritoryNetherlands
    CityZeist
    Period30/06/141/07/14

    Keywords

    • lifelong learning
    • experience sampling method
    • mobile learning
    • self-regulated learning
    • reflection

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