Using artificial intelligence in university knowledge assessment systems: experience of ASEAN universities and prospects for Ukraine
Year: 2026
Type: article
Abstract: The spread of generative artificial intelligence is changing assessment practices in higher education and at the same time raising questions about academic integrity, transparency and reliability of learning outcomes. In these conditions, institutional regulation becomes decisive, outlining the permissible limits of artificial intelligence use, the procedure for declaring its participation and responsibility for the final academic decision. The aim of the study was to identify the features of the regulation of artificial intelligence-supported assessment in selected Association of Southeast Asian Nations universities and to identify relevant guidelines for Ukrainian practice. The methodological basis was a comparative multi-case documentary study of 50 sources with coding in 13 categories on a scale of 0–2 and excluding not applicable cases from the denominator; the institutional cases were the National University of Singapore, Nanyang Technological University and Universiti Malaya. The dynamics of the gross enrolment ratio in higher education in five Association of Southeast Asian Nations countries were also analyzed based on available observations for 2016–2025, and a scenario extrapolation to 2030 was performed using a linear trend model. At the regional and national levels, human control, transparency, and data protection were most clearly formalized: 4 out of 5 documents, or 80.0%, received a score of 2 for each of these criteria. At the university level, regulation was more specific: in 7 out of 13 categories, clear formalization was recorded in two out of three cases, and artificial intelligence-supported assessment, artificial intelligence-generated feedback, and rules for using artificial intelligence content detectors were fully formalized in both applicable cases. The most detailed procedures were found in the National University of Singapore and Universiti Malaya; the materials of Nanyang Technological University were mainly advisory in nature. Statistical and predictive analysis showed heterogeneity of educational trajectories: upward trends were established for Singapore, the Philippines and Vietnam, downward for Malaysia, while for Thailand the linear relationship was weak. Comparison with Ukraine showed that the declaration of the use of artificial intelligence, data protection, transparency, human control and appeal mechanisms already have a normative or recommendatory basis, but the procedures for artificial intelligence-supported assessment, feedback, the use of detectors and the development of artificial intelligence literacy remain less operationalized. The practical significance of the results lies in the possibility of using the established mechanisms to develop internal university policies that combine the admissibility of artificial intelligence, the declaration of its use, human verification and responsibility for the assessment decision.
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W7225909417