Implementing Artificial Intelligence in Integrity Training:An Exploratory Study on the Potential of Adaptive Learning in Anti-Corruption Education

In South Korea, approximately 1,300 public institutions, under the leadership of the Anti- Corruption and Civil Rights Commission, are mandated to conduct integrity education concerning the Improper Solicitation and Graft Act and the Conflict of Interest Prevention Act. Integrity education under the Improper Solicitation and Graft Act has been mandatory since 2016, while education under the Conflict of Interest Prevention Act began in 2021. These educational programs aim to strengthen anti-corruption measures and enhance ethical standards, with around 500 dedicated instructors responsible for this training. The integrity education is primarily delivered through face-to-face sessions and is offered in various courses targeted at new public officials, those being promoted, and high-ranking officials. However, research on integrity education is limited, and studies on its effectiveness are particularly scarce. Looking at the current state of education, there are doubts about the effectiveness of uniform mandatory training. To move away from repetitive and standardized education, it is necessary to introduce adaptive learning using artificial intelligence (AI) in integrity education. AI-based adaptive learning can maximize learning outcomes by providing personalized educational experiences tailored to the learners' individual learning styles and needs. This approach can swiftly identify and address the challenges faced by learners, offering tailored support and allowing educators to provide more detailed feedback based on AI recommendations. This study not only analyzes the current state of integrity education and the limitations of existing educational programs but also proposes a practical solution. By examining the advancements in adaptive learning and discussing its potential for integration into integrity education, the study offers a tangible way forward. It explores how AI-driven personalized education can meet the needs of both public institutions and individuals, thereby enhancing the effectiveness of integrity education. The research concludes that the implementation of adaptive learning can enable tailored integrity education for both institutions and individuals, thereby advocating for its adoption in the field.