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Supporting students in making informed data sharing decisions: from comprehension to consenting

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  • معلومة اضافية
    • بيانات النشر:
      Institute of Electrical and Electronics Engineers (IEEE)
    • Collection:
      UPF Digital Repository (Universitat Pompeu Fabra, Barcelona)
    • نبذة مختصرة :
      Comunicació presentada a: ICALT 2020 International Conference on Advanced Learning Technologies and Technology-enhanced Learning, organitzada a Tartu, Estònia, del 6 al 9 de juliol de 2020 ; Whether deciding to participate in a study or gain access to online applications, research suggests that individuals often fail to understand the conditions they agree to when giving consent. Limited comprehension related to the risks of big data and habituation may contribute to consent being given in a manner that counters the best interests of individuals (i.e. a privacy paradox). Who is responsible for helping students learn to make informed decisions regarding the sharing of their data? We conducted a quasi-experimental study involving 127 undergraduate students. We explored the effects on study enrolment of supporting students in making informed data sharing decisions. Prior to reading the consent form for a study involving the evaluation of a collaborative learning application, one group of participants was primed to think about data sharing risks and evaluate their participation in terms of a harm-benefit decision whereas the other group was not. The primed group scored lower on a consent form comprehension quiz yet had higher enrolment rates and were more likely to cite trust as reasoning for enrolling in the study. ; This work has been partially funded by the European Regional Development Fund and the National Research Agency of the Spanish Ministry of Science, Innovation and Universities, under project grants TIN2017-85179-C3-3-R and MDM-2015-0502. D. Hernãndez-Leo acknowledges the support by ICREA under the ICREA Academia programme.
    • File Description:
      application/pdf
    • ISBN:
      978-1-72816-090-0
      1-72816-090-1
    • ISSN:
      2161-377X
    • Relation:
      ICALT 2020 International Conference on Advanced Learning Technologies and Technology-enhanced Learning; 2020 Jul 6-9; Tartu, Estonia. New York: IEEE; 2020. p. 175-9; info:eu-repo/grantAgreement/ES/2PE/TIN2017-85179-C3-3-R; http://hdl.handle.net/10230/45242; http://dx.doi.org/10.1109/ICALT49669.2020.00058
    • الرقم المعرف:
      10.1109/ICALT49669.2020.00058
    • Rights:
      © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. http://dx.doi.org/10.1109/ICALT49669.2020.00058 ; info:eu-repo/semantics/openAccess
    • الرقم المعرف:
      edsbas.FA87391D