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On Possibility of Automatic Generation of Data Files and their Use in Tasks of Descriptive Statistics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23510%2F19%3A43955927" target="_blank" >RIV/49777513:23510/19:43955927 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.5220/0007742504460453" target="_blank" >http://dx.doi.org/10.5220/0007742504460453</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5220/0007742504460453" target="_blank" >10.5220/0007742504460453</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    On Possibility of Automatic Generation of Data Files and their Use in Tasks of Descriptive Statistics

  • Original language description

    The contribution deals with the use of automatic generation of parameterized tasks and the inclusion of automatically generated data files as useful feature of generator. This functionality of the generator is used, for example, in tasks of statistical data analysis. The contribution shows usage when generating a descriptive statistics tasks. The basic principles of preparation of statistical data in both sample and population files are described. Methods of integrating these data into the generated task for different output formats are also explained. Selected group of tasks illustrating the outputs of the application of the described methods are presented. The use of a generator for building a Question bank in LMS Moodle is shown as well as the preparation of writing tests. At the same time, various data files storage options and subsequent use with regard to their lifetime are discussed. In the following, a new solution for the implementation of the automatic generator of parameterized tasks in cloud is introduced. This approach will allow the involvement of more users of the automatic generator.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 11th International Conference on Computer Supported Education (CSEDU 2019),

  • ISBN

    978-989-758-367-4

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    446-453

  • Publisher name

    SCITEPRESS – Science and Technology Publications

  • Place of publication

    Lisabon

  • Event location

    Heraklion, Kréta, Řecko

  • Event date

    May 2, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article