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The review aims to explore how AI challenges traditional assessments and identify effective design strategies.

Designing AI-Resistant Assessments in Higher Education: A Systematic Literature Review

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The review aims to explore how AI challenges traditional assessments and identify effective design strategies.
Conducted a systematic literature review based on PRISMA guidelines.
Synthesized findings from 28 peer-reviewed studies published from 2022 to 2025.
Analyzed themes related to assessment design and AI detection technologies.
Relying solely on AI detection technologies like ChatGPT is insufficient for maintaining academic integrity.
Authentic and process-oriented assessment designs are identified as more sustainable solutions.
The review highlights the need for transparent institutional policies regarding assessment.

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Systematic review examines AI's impact on assessments, proposing strategies for effective design in education.

Ghazali et al. (2026) studied this question.

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