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Optimized collusion prevention for online exams during social distancing.
Li, Mengzhou; Luo, Lei; Sikdar, Sujoy; Nizam, Navid Ibtehaj; Gao, Shan; Shan, Hongming; Kruger, Melanie; Kruger, Uwe; Mohamed, Hisham; Xia, Lirong; Wang, Ge.
Afiliação
  • Li M; Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.
  • Luo L; Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY, USA.
  • Sikdar S; Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, MO, USA.
  • Nizam NI; Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.
  • Gao S; Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.
  • Shan H; Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.
  • Kruger M; Department of Mechanical Aerospace and Nuclear Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.
  • Kruger U; Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.
  • Mohamed H; Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.
  • Xia L; Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY, USA.
  • Wang G; Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA. Wangg6@rpi.edu.
NPJ Sci Learn ; 6(1): 5, 2021 Mar 01.
Article em En | MEDLINE | ID: mdl-33649355
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article