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Optimized collusion prevention for online exams during social distancing
Educationnpj Science of Learning

Optimized collusion prevention for online exams during social distancing

M. Li, L. Luo, et al.

Discover how online education evolved during the COVID-19 pandemic, leading to a groundbreaking optimization-based anti-collusion approach for distanced online testing, developed by Mengzhou Li, Lei Luo, Sujoy Sikdar, Navid Ibtehaj Nizam, Shan Gao, Hongming Shan, Melanie Kruger, Uwe Kruger, Hisham Mohamed, Lirong Xia, and Ge Wang. This innovative method significantly reduces cheating opportunities while maintaining academic integrity and student privacy.... show more
Citation Metrics
Citations
46
Influential Citations
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Reference Count
70
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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