ONLINE ASSESSMENT AND ACADEMIC INTEGRITY ISSUES IN THE AGE OF AI TOOLS

Abstract

Online assessment has moved from an emergency response during the COVID-19 period to a permanent feature of blended, distance and technology-supported education. At the same time, generative artificial intelligence tools have changed the conditions under which online assessment is designed, completed, submitted and judged. Tools capable of producing essays, code, summaries, presentations, data analysis, images and feedback now challenge conventional assumptions about authorship, originality, student effort and valid evidence of learning. This paper examines online assessment and academic integrity issues in the age of AI tools through an integrative literature-based research design. It synthesises recent scholarship, policy guidance and assessment-reform literature from 2022 to 2026, supported by foundational work on assessment validity, constructive alignment and academic integrity. The paper argues that the main issue is not simply student cheating, nor is it solved by surveillance or AI-detection tools alone. The deeper issue is assessment validity: whether the submitted work still provides reliable evidence that the student has achieved the intended learning outcomes. The findings identify seven recurring priorities for education systems: AI-aware assessment design, transparent AI-use rules, process-based evidence, oral and interactive verification, academic integrity education, equitable access and institutional governance. Major challenges include contract cheating, ghostwriting by AI, unreliable detection, privacy concerns, student confusion, inconsistent policy, staff workload, unequal digital access and the risk of over-policing learners. The paper concludes that online assessment should be redesigned rather than merely defended. Sustainable academic integrity requires a balanced framework that combines authentic assessment, human judgement, student AI literacy, clear declarations, responsible technology use and continuous review of assessment evidence.