DOT platform

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Evidence · 1 claim (1 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

A web application developed by Mengzhou Li and colleagues that delivers individualized, synchronized question sequences for remote online exams and incorporates anti-collusion techniques.

Components

Claims

• In a real undergraduate final exam, the DOT optimized question assignment reduced the average collusion gain to 0.0073% from 19.23% under the conventional simultaneous common-question scenario. [+M]

Related Products and Programmes

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Key Sources

• Mengzhou Li, Lei Luo, Sujoy Sikdar, Navid Ibtehaj Nizam, Shan Gao, Hongming Shan, Melanie Kruger, Uwe Kruger, Hisham Mohamed, Lirong Xia and Ge Wang. (2021). Optimized collusion prevention for online exams during social distancing. npj Science of Learning 6:5. https://doi.org/10.1038/s41539-020-00083-3

Page metadata

Field	Value
type	product
id	dot-platform
title	DOT platform
description	A web application developed by Mengzhou Li and colleagues that delivers individualized, synchronized question sequences for remote online exams and incorporates anti-collusion techniques.
status	review
product_kind	software
generated	by process:settle-candidates on 2026-10-26
trust	unverified — no one has confirmed this page's content

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