Integrating AI Into Accounting Education: Innovations, Ethical Considerations, and Pedagogical Shifts



Author Information

Nadia Sbei Trabelsi, American University in Dubai, United Arab Emirates

Abstract

The integration of Artificial Intelligence (AI) into accounting education is significantly transforming both pedagogical practices and research methodologies within the field. This paper examines how AI-driven tools are influencing teaching methods, curriculum development, and student learning experiences. It also explores AI’s expanding role in academic research, highlighting its potential to streamline literature reviews, enhance data analysis, and support the development of new research frameworks. Key themes include AI’s capacity to increase student engagement, personalizing instruction, and automate routine educational tasks, enabling educators to focus more on developing students’ higher-order cognitive skills. At the same time, the paper addresses growing concerns related to over-reliance on AI, ethical challenges, and the risk of eroding essential accounting competencies. The findings underscore that while AI offers considerable promise for advancing accounting education and research, its successful implementation depends on maintaining pedagogical integrity, fostering critical thinking, and navigating ethical complexities. Finally, the paper considers how the evolving role of AI in scholarly inquiry invites reflection on the balance between automation and human judgment in knowledge creation. By situating these developments within the accounting domain, the paper contributes to broader discussions on the responsible adoption of AI in education.


Paper Information

Conference: PCE2025
Stream: Higher education

This paper is part of the PCE2025 Conference Proceedings (View)
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To cite this article:
Trabelsi N. (2025) Integrating AI Into Accounting Education: Innovations, Ethical Considerations, and Pedagogical Shifts ISSN: 2758-0962 The Paris Conference on Education 2025: Official Conference Proceedings (pp. 837-842) https://doi.org/10.22492/issn.2758-0962.2025.64
To link to this article: https://doi.org/10.22492/issn.2758-0962.2025.64


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