Tripathi, Shiv K.Amann, Wolfgang C.Stachowicz-Stanusch, Agata2024-04-222024-04-22© 20232023Tripathi, S. K., Amann, W. C. & Stachowicz-Stanusch, A. (2023). Anti-Corruption Education in Management Programmes: Learning Style Versatility and Artificial Intelligence (AI) Applications in Course Development and Delivery. Proceedings of International Conference on Research in Education and Science 2023, 9(1), 152 - 161. ISTES Organization.978-195209244-228336747https://www.istes.org/books/1ea4b3f3b384cc87bfc4b260858219d7.pdfhttps://hdl.handle.net/20.500.12519/1037The effective anti-corruption education requires careful understanding of the teaching-learning context. At the different stages of the designing an anti-corruption focuses course, we need to consider factors related to target learning group as well as the respective context in which they are. Learning style versatility is an important factor that needs to be analyzed for an effective and outcome linked course in Anti-Corruption. The emergence of artificial intelligence provides significant opportunities in improving the outcome-focused course design. Automating the identification of learning style versatility of target learning group can simplify the process of customizing the course contents, pedagogy and assessment framework for the given learning group. The article is conceptual in nature and provides a generic framework for applying artificial intelligence (AI) in developing the anti-corruption course, tailored to the target learning group characteristics. The suggested framework can be adapted under the different teaching-learnings contexts, as per the need. The anti-corruption is an extended and applied area of ethics and, therefore, the framework can also be extended in developing course modules related to other similar themes. © 2023 Published by the ISTES Organizationen-USCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International LicenseAnti-corruptionArtificial Intelligence (AI)Course DesignEthicsLearning Style VersatilityOtherCopyright : © 2023 Published by the ISTES Organization