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"I've got nothing to hide!": survey on data privacy competence with German schoolchildren

Published:04 October 2018Publication History

ABSTRACT

A Data Privacy Competence model had been developed ([1]) and is applied in a study with German middle school students from grade five to seven. An online survey has been conducted to measure their Data Privacy Competence accordingly. This survey yielded about 1000 useful records in total, which have been analyzed descriptively and correlatively.

References

  1. A. Hug and R. Grimm. Entwicklung eines Datenschutzkomptenzmodells. In Informatische Bildung zum Verstehen und Gestalten der digitalen Welt (17. GI-Fachtagung Informatik und Schule), 167--170, Oldenburg, 2017Google ScholarGoogle Scholar
  2. F. Kehr, T. Rothmund, M. Gollwitzer and W. Füllgraf. Prädiktoren sicherheitsrelevanten Verhaltens bei jugendlichen Computernutzern. DuD 39, 5, 303--307, 2015Google ScholarGoogle ScholarCross RefCross Ref
  3. P. K. Masur, D. Teutsch and S. Trepte. Entwicklung und Validierung der Online-Privatheitskomptenzskala (OPLIS). Diagnostica 63, 4, 256--268, 2017Google ScholarGoogle ScholarCross RefCross Ref
  4. Landesanstalt für Medien Nordrhein-Westfalen. Digitale Privatsphäre: Heranwachsende und Datenschutz auf Sozialen Netzwerkplattformen. 2012Google ScholarGoogle Scholar
  5. D. C. Funder, R. M. Furr and C. R. Colvin. The Riverside Behavioral Q-Sort: A Tool for the Description of Social Behavior. Journal of Personality 68, 3, 451 -- 489, 2000Google ScholarGoogle ScholarCross RefCross Ref

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  1. "I've got nothing to hide!": survey on data privacy competence with German schoolchildren

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      • Published in

        cover image ACM Other conferences
        WiPSCE '18: Proceedings of the 13th Workshop in Primary and Secondary Computing Education
        October 2018
        170 pages
        ISBN:9781450365888
        DOI:10.1145/3265757

        Copyright © 2018 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 4 October 2018

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        Qualifiers

        • extended-abstract

        Acceptance Rates

        WiPSCE '18 Paper Acceptance Rate32of72submissions,44%Overall Acceptance Rate104of279submissions,37%

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