How much randomization is needed to deter collaborative cheating on asynchronous exams?
Author:
Affiliation:
1. University of Illinois at Urbana-Champaign
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3231644.3231664
Reference16 articles.
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2. J. D Angrist and J. Pischke. 2014. Mastering'metrics: The path from cause to effect. Princeton University Press. J. D Angrist and J. Pischke. 2014. Mastering'metrics: The path from cause to effect. Princeton University Press.
3. The Equivalence of Paper-and-Pencil and Computer-Based Testing
4. B. Chen M. West and C. Zilles. 2017. Do performance trends suggest wide-spread collaborative cheating on asynchronous exams?. In Learning at Scale 2017. 10.1145/3051457.3051465 B. Chen M. West and C. Zilles. 2017. Do performance trends suggest wide-spread collaborative cheating on asynchronous exams?. In Learning at Scale 2017. 10.1145/3051457.3051465
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