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ENGAssessment and Academic Integrity in Kazakhstan's Schools in the Age of Artificial Intelligence: Challenges and Solutions
DOI:
https://doi.org/10.59941/2960-0642-2025-1-20-30Keywords:
academic integrity, culture of academic integrity, assessment in education, school education, criterion-based assessment, artificial intelligence, Kazakhstan, assessment objectivity, digital literacyAbstract
The article examines issues of academic integrity in Kazakhstan’s secondary education system, with a particular focus on the challenges associated with the rapid development of generative artificial intelligence (AI). Unlike traditional plagiarism, AI-generated texts are difficult to detect as they do not copy existing sources but create new versions of content. This necessitates a revision of existing assessment approaches and the development of effective strategies to prevent academic misconduct related to AI usage.
Objective: To identify key challenges and propose strategies for strengthening academic integrity in assessment within Kazakhstan’s school environment.
The article highlights major risks associated with the use of generative AI in school education, including decreased student autonomy, difficulties in detecting academic dishonesty, and the impact of AI on critical thinking. International strategies for regulating AI use in schools are examined, and gaps in Kazakhstan’s current policies in this area are identified.
Scientific Novelty: The conducted analysis may serve as a foundation for further research aimed at developing unified approaches to fostering a culture of academic integrity in Kazakhstan’s schools, adapting assessment systems, and implementing regulatory mechanisms for AI in education.
Practical Significance: An analytical review of legal documents, international practices, and available empirical data on academic integrity in Kazakhstan has been conducted. The key challenges related to digital technologies, particularly artificial intelligence, affecting the objectivity and reliability of assessment have been identified. The necessity of developing a culture of academic integrity in the context of generative AI is substantiated. Measures for strengthening academic integrity in schools, improving assessment mechanisms, and enhancing teachers’ digital literacy are proposed.
