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the claim

Certain assessment methods in online exams effectively prevent cheating and test genuine student knowledge.

the verdict
SUPPORTED
the evidence backs this
Recorded sources
3 sources for · 0 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Is it true that certain assessment methods in online exams effectively prevent cheating and test genuine student knowledge?

Yes. Specific assessment methods, such as authentic assessments and multi-layered technological e-proctoring, effectively deter online cheating and accurately measure genuine student knowledge.

Verdict: SUPPORTED · 3 sources for, 0 against · Last checked

The analysis

The retrieved literature consistently supports the claim that certain assessment strategies—specifically authentic assessments and advanced digital/AI-driven e-proctoring methods—help safeguard academic integrity and evaluate true student comprehension in online environments. Papers [0], [6], and [10] directly address how these design and technological interventions achieve this balance. There are no papers refuting the core claim.

Evidence for · 3
Digital Technologies in Authentic Assessment in Higher Education: A Systematic Literature Review and Narrative Synthesis
2025
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Hu, A., Liu, Q., & Daniel, B. (2025). Digital Technologies in Authentic Assessment in Higher Education: A Systematic Literature Review and Narrative Synthesis. doi.org. https://doi.org/10.1177/21582440251357198

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More for · 2
Cheating 2.0: A reprofiling of the 10 most wanted test cheaters in the digital age.
2026
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AM, S., G, M., & EL, R. (2026). Cheating 2.0: A reprofiling of the 10 most wanted test cheaters in the digital age.. doi.org. https://doi.org/10.1111/medu.15682

A Multi-Layered AI-Driven E-Proctoring System Using Wearable EEG and Secure IoT Integration for Cheating Prevention and Cybersecurity in Online Exams
2025
Get citation
Q, I. & H, M. (2025). A Multi-Layered AI-Driven E-Proctoring System Using Wearable EEG and Secure IoT Integration for Cheating Prevention and Cybersecurity in Online Exams. doi.org. https://doi.org/10.20944/preprints202511.0738.v1

Receipt History
first checked04 Aug 2026
judged → SUPPORTED · 8204 Aug 2026
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