How much randomization is needed to deter collaborative cheating on asynchronous exams?-Reference-Cited by-同舟云学术

How much randomization is needed to deter collaborative cheating on asynchronous exams?

Published:2018-06-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Fifth Annual ACM Conference on Learning at Scale
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Author:

Chen Binglin¹,West Matthew¹,Zilles Craig¹

Affiliation:

1. University of Illinois at Urbana-Champaign

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3231644.3231664

Reference16 articles.

1. J. D. Angrist and J. Pischke. 2008. Mostly harmless econometrics: An empiricist's companion. Princeton University Press. J. D. Angrist and J. Pischke. 2008. Mostly harmless econometrics: An empiricist's companion. Princeton University Press.

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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