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Enhancing Public Sector Audit Education Through AI-Driven Simulations: A Systematic Review
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Author(s): Olugbade Damola (University of South Africa, South Africa)and Audrey Hlabisang Legodi (University of South Africa, South Africa)
Copyright: 2026
Pages: 16
Source title:
AI in Education, Governance, and Leadership: Adoption, Impact, and Ethics
Source Author(s)/Editor(s): Bosede Iyiade Edwards (Universiti Sains Malaysia, Malaysia), Hassan Abuhassna (Sunway University, Malaysia), Damola Olugbade (University of South Africa, Pretoria, South Africa), Olayinka Anthony Ojo (University of Bolton, United Kingdom)and Wan Ahmad Jaafar Wan Yahaya (Universiti Sains Malaysia, Malaysia)
DOI: 10.4018/979-8-3373-5550-4.ch003
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Abstract
As artificial intelligence (AI) continues to revolutionize education, its integration into public sector auditing training represents a critical frontier. This chapter systematically reviews the literature on AI-driven simulations in public sector audit education, analyzing their efficacy, applications, and inherent challenges. A comprehensive screening of 871 studies from Web of Science and Scopus yielded 11 peer-reviewed articles, which were thematically analyzed to identify key findings. The review highlights the transformative potential of AI simulations in fostering critical skills, bridging theory-practice gaps, and enhancing decision-making in audit training. It also addresses barriers to adoption, including technical, financial, and institutional constraints, while underscoring the importance of ethical and cultural considerations. By offering actionable insights, this chapter contributes to advancing the discourse on AI's role in audit education, with implications for educators, policymakers, and practitioners.
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