Automated and AI-assisted assessment and perceived fairness in a polyethnic university: digitalization as a potential pathway to interethnic equity in Kazakhstan's higher education

Digital transformation in Kazakhstan's higher education sector, particularly concerning automated and AI-assisted assessment, is being examined for its potential to foster interethnic equity. A study surveyed 300 university students to understand their perceptions of fairness regarding these assessment methods, focusing on their capacity to reduce subjectivity, corruption risks, and ascriptive bias within the context of 'Just Kazakhstan' constitutional reforms.

The adoption of automated and AI-assisted assessment methods represents a significant technological and governance shift in higher education. Understanding stakeholder perceptions, particularly regarding fairness and bias reduction, is crucial for successful implementation and achieving policy goals related to equity and corruption mitigation.

Digital transformation is a key initiative in Kazakhstan's higher education, aligned with 2022 constitutional reforms and the 'Just Kazakhstan' policy.

Forward consideration, not a verified fact.