Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Handbook of Generative Artificial Intelligence in Accounting and Business Education

Handbook of Generative Artificial Intelligence in Accounting and Business Education

Rana, Tarek
Azim, Mohammad
Vesty, Gillian

Hardcover

AccountingInvesting & Finance

ISBN10: 9819546672
ISBN13: 9789819546671
Publisher: Springer
Published: May 27 2026
Pages: 1777
Language: English

This handbook provides a comprehensive and innovative exploration of the integration of Generative AI in accounting and business education. It contributes to the development of cutting-edge educational practices by highlighting the potential applications, pedagogical implications, and ethical considerations of using Generative AI as a generative artificial intelligence tool. By bringing together a diverse range of authors and perspectives, this handbook aims fosters multidisciplinary dialogue and promote the advancement of accounting and business education in the digital age. The scope of this book encompasses various aspects of Generative AI's integration in accounting and business education. It covers fundamental topics such as understanding the workings of Generative AI, its capabilities, and limitations. It further explores the pedagogical implications of Generative AI, including personalized learning, student engagement, motivation, and performance assessment. The handbook also examines case studies and practical examples of successful implementation of Generative AI in accounting and business classrooms, language learning, student feedback, and supporting students with disabilities. Additionally, this handbook explores curriculum development and innovation by exploring the integration of Generative AI in accounting and business curricula, simulation-based and project-based learning approaches, as well as ethical considerations in AI-based education. It also provides insights from educators and students, offering their perspectives, experiences, challenges, and recommendations.

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