This chapter explores the transformative potential of Artificial Intelligence (AI) in personalizing accounting education. It begins by introducing AI and personalized learning, highlighting their intersection and the advantages of tailoring educational experiences to individual student needs. The chapter delves into the limitations of traditional one-size-fits-all approaches and the benefits of personalized learning, such as increased engagement, improved learning outcomes, and enhanced student satisfaction. Key sections discuss AI-driven assessment and feedback mechanisms, including adaptive testing, real-time feedback, and personalized learning paths. The chapter also examines AI-powered content delivery systems, which utilize intelligent content recommendations, gamification, and interactive learning experiences to enhance student engagement. Additionally, it addresses AI-enabled collaboration and peer learning, emphasizing the role of AI in facilitating group work, matching students with similar learning styles, and providing tools for peer feedback. The chapter concludes with a critical analysis of ethical considerations and challenges associated with using AI in education, such as privacy concerns, algorithmic bias, and ensuring equitable access to personalized learning. By leveraging AI, accounting educators can create more effective, engaging, and inclusive learning environments, better preparing students for the complexities of the modern accounting profession.

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Using AI to Personalize Learning in Accounting Education

  • Nizar Mohammad Alsharari,
  • Jacob Ibrahim Habashi

摘要

This chapter explores the transformative potential of Artificial Intelligence (AI) in personalizing accounting education. It begins by introducing AI and personalized learning, highlighting their intersection and the advantages of tailoring educational experiences to individual student needs. The chapter delves into the limitations of traditional one-size-fits-all approaches and the benefits of personalized learning, such as increased engagement, improved learning outcomes, and enhanced student satisfaction. Key sections discuss AI-driven assessment and feedback mechanisms, including adaptive testing, real-time feedback, and personalized learning paths. The chapter also examines AI-powered content delivery systems, which utilize intelligent content recommendations, gamification, and interactive learning experiences to enhance student engagement. Additionally, it addresses AI-enabled collaboration and peer learning, emphasizing the role of AI in facilitating group work, matching students with similar learning styles, and providing tools for peer feedback. The chapter concludes with a critical analysis of ethical considerations and challenges associated with using AI in education, such as privacy concerns, algorithmic bias, and ensuring equitable access to personalized learning. By leveraging AI, accounting educators can create more effective, engaging, and inclusive learning environments, better preparing students for the complexities of the modern accounting profession.