Processing learner profiles for smart indicators

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    Abstract

    Indicators help learners to organise, orientate and navigate through complex environments byproviding contextual information relevant for the performance of learning tasks. Smart indicatorsystems adapt their approach of information aggregation and indication according to a learner’s situation or context. In this paper context is used as temporal context of the learning progress. This paper introduces an experimental scenario in which smart indicators are applied. The following section provides a definition of smart indicators that is derived from concepts of self-regulated learning and context-aware systems. Based on this definition a system’s architecture for smart indicators is proposed. Based on the preceding sections, the two problems of the research questions are addressed by discussing the implementation as it is used for the experimental scenario. This paper concludes with an analysis of current learning standards regarding the applicability in the domain of open communities.
    Original languageEnglish
    Number of pages8
    Publication statusPublished - 2007
    EventFifth International ePortfolio Conference - Maastricht , Netherlands
    Duration: 16 Oct 200719 Oct 2007
    Conference number: 5

    Conference

    ConferenceFifth International ePortfolio Conference
    Abbreviated titleE-Portfolio 2007
    CountryNetherlands
    CityMaastricht
    Period16/10/0719/10/07

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    Glahn, C., Specht, M. M., & Koper, E. J. R. (2007). Processing learner profiles for smart indicators. Paper presented at Fifth International ePortfolio Conference, Maastricht , Netherlands.
    Glahn, C. ; Specht, M.M. ; Koper, E.J.R. / Processing learner profiles for smart indicators. Paper presented at Fifth International ePortfolio Conference, Maastricht , Netherlands.8 p.
    @conference{50e22c11e921455abd2d275a29959695,
    title = "Processing learner profiles for smart indicators",
    abstract = "Indicators help learners to organise, orientate and navigate through complex environments byproviding contextual information relevant for the performance of learning tasks. Smart indicatorsystems adapt their approach of information aggregation and indication according to a learner’s situation or context. In this paper context is used as temporal context of the learning progress. This paper introduces an experimental scenario in which smart indicators are applied. The following section provides a definition of smart indicators that is derived from concepts of self-regulated learning and context-aware systems. Based on this definition a system’s architecture for smart indicators is proposed. Based on the preceding sections, the two problems of the research questions are addressed by discussing the implementation as it is used for the experimental scenario. This paper concludes with an analysis of current learning standards regarding the applicability in the domain of open communities.",
    author = "C. Glahn and M.M. Specht and E.J.R. Koper",
    year = "2007",
    language = "English",
    note = "Fifth International ePortfolio Conference, E-Portfolio 2007 ; Conference date: 16-10-2007 Through 19-10-2007",

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    Glahn, C, Specht, MM & Koper, EJR 2007, 'Processing learner profiles for smart indicators', Paper presented at Fifth International ePortfolio Conference, Maastricht , Netherlands, 16/10/07 - 19/10/07.

    Processing learner profiles for smart indicators. / Glahn, C.; Specht, M.M.; Koper, E.J.R.

    2007. Paper presented at Fifth International ePortfolio Conference, Maastricht , Netherlands.

    Research output: Contribution to conferencePaperAcademic

    TY - CONF

    T1 - Processing learner profiles for smart indicators

    AU - Glahn, C.

    AU - Specht, M.M.

    AU - Koper, E.J.R.

    PY - 2007

    Y1 - 2007

    N2 - Indicators help learners to organise, orientate and navigate through complex environments byproviding contextual information relevant for the performance of learning tasks. Smart indicatorsystems adapt their approach of information aggregation and indication according to a learner’s situation or context. In this paper context is used as temporal context of the learning progress. This paper introduces an experimental scenario in which smart indicators are applied. The following section provides a definition of smart indicators that is derived from concepts of self-regulated learning and context-aware systems. Based on this definition a system’s architecture for smart indicators is proposed. Based on the preceding sections, the two problems of the research questions are addressed by discussing the implementation as it is used for the experimental scenario. This paper concludes with an analysis of current learning standards regarding the applicability in the domain of open communities.

    AB - Indicators help learners to organise, orientate and navigate through complex environments byproviding contextual information relevant for the performance of learning tasks. Smart indicatorsystems adapt their approach of information aggregation and indication according to a learner’s situation or context. In this paper context is used as temporal context of the learning progress. This paper introduces an experimental scenario in which smart indicators are applied. The following section provides a definition of smart indicators that is derived from concepts of self-regulated learning and context-aware systems. Based on this definition a system’s architecture for smart indicators is proposed. Based on the preceding sections, the two problems of the research questions are addressed by discussing the implementation as it is used for the experimental scenario. This paper concludes with an analysis of current learning standards regarding the applicability in the domain of open communities.

    M3 - Paper

    ER -

    Glahn C, Specht MM, Koper EJR. Processing learner profiles for smart indicators. 2007. Paper presented at Fifth International ePortfolio Conference, Maastricht , Netherlands.