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This research aims to differentiate between AI-resistant and AI-resilient assessment strategies while addressing validity challenges in educational contexts.

July 6, 2026Assessment & Evaluation in Higher Education

AI-resistant and AI-resilient assessment in higher education: a systematic review of validity-grounded strategies, institutional frameworks, and equity implications

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This research aims to differentiate between AI-resistant and AI-resilient assessment strategies while addressing validity challenges in educational contexts.
Conducted a systematic review of literature published from 2022 to 2025 using a PRISMA 2020-compliant search across five databases.
Screened 47 peer-reviewed studies, 23 policy documents, and 11 sector reports with independent reviewers achieving substantial inter-rater agreement.
Identified and evaluated six evidence-based assessment categories against an adversarial threat taxonomy.
Proposed a Six-Layer AI-Resilient Assessment Stack based on multi-trait multi-method validation logic.
Found that traditional AI-detection tools are inadequate as primary responses to AI-assisted completion in assessments.
Highlighted ongoing issues related to equity, reliability, faculty development, and data protection in higher education assessments.

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Implication

Systematic review explores valid strategies for assessing student performance amidst AI challenges, highlighting implications for equity.

Cite This Study

Asrat Genet Amnie (2026) studied this question.

synapsesocial.com/papers/6a4b44fa997070ff83b5b049 https://doi.org/10.1080/02602938.2026.2695377

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AI-resistant and AI-resilient assessment in higher education: a systematic review of validity-grounded strategies, institutional frameworks, and equity implications

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Implication

Cite This Study

AI-resistant and AI-resilient assessment in higher education: a systematic review of validity-grounded strategies, institutional frameworks, and equity implications

Key Points

Discussion

Implication

Cite This Study

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