Preprint Technical Note Version 1 Preserved in Portico This version is not peer-reviewed

Scheme for Cheating Prevention in Online Exams during Social Distancing

Version 1 : Received: 16 April 2020 / Approved: 19 April 2020 / Online: 19 April 2020 (04:55:34 CEST)

How to cite: Nizam, N.I.; Gao, S.; Li, M.; Mohamed, H.; Wang, G. Scheme for Cheating Prevention in Online Exams during Social Distancing. Preprints 2020, 2020040327 (doi: 10.20944/preprints202004.0327.v1). Nizam, N.I.; Gao, S.; Li, M.; Mohamed, H.; Wang, G. Scheme for Cheating Prevention in Online Exams during Social Distancing. Preprints 2020, 2020040327 (doi: 10.20944/preprints202004.0327.v1).

Abstract

In the current pandemic of COVID-19, students and faculty are subject to social distancing and online learning. How to test students in this unprecedented environment is a new educational challenge with immediate and global impacts. The main contribution of this paper is to establish the feasibility that by a clever design we can control the average gain (which is referred to as the g-factor) from cheating behaviors to a degree as small as pre-specified so that accurate and reliable online exams can be administered. It is underlined that even after the pandemic the methods and systems in the spirit of our proposal are still valuable for cost-effective exams to promote open courses and internet-based education.

Subject Areas

online exam; social distancing; statistical analysis; game theory

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