Artificial Intelligence and Accounting Education : Policy, Practice and Research (Routledge Studies in Accounting) / Rahman, Md Jahidur (EDT)/ Rana, Tarek (EDT)/ Zhu, Hongtao (EDT)

人工知能と会計教育<br>Artificial Intelligence and Accounting Education : Policy, Practice and Research (Routledge Studies in Accounting)

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人工知能と会計教育
Artificial Intelligence and Accounting Education : Policy, Practice and Research (Routledge Studies in Accounting)

Rahman, Md Jahidur (EDT)/ Rana, Tarek (EDT)/ Zhu, Hongtao (EDT)

ウェブストア価格 ¥46,046（本体¥41,860）
Routledge（2026/06発売）
外貨定価 US$ 200.00
ポイント 418pt

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製本 Hardcover:ハードカバー版／ページ数 250 p.
言語 ENG
商品コード 9781041253174
DDC分類 657.0711

Full Description

As the educational landscape undergoes a profound transformation driven by technological advancements, this book establishes the critical significance of artificial intelligence (AI) in reshaping accounting and business pedagogy. It provides a comprehensive exploration of the subject with a specific focus on the integration of AI within higher education and its implications for teaching, learning, and ethical practice.

While the book draws significantly on empirical studies and contextual examples, its examination of AI's role in enhancing learning outcomes, personalizing instruction, and addressing ethical challenges holds international relevance. The work bridges the gap between theoretical frameworks and practical application, offering readers in-depth insights into the intricate dynamics of AI adoption in education. Drawing on robust data, case studies, and diverse student and faculty perspectives, it provides practical insights into the effectiveness of various AI tools and their impact on student engagement, skill acquisition, and academic performance. It focuses on the crucial role of AI in fostering future employability, its potential for sustainable growth in educational settings, and its wider impact on the future of the accounting and business professions. Additionally, the book examines how the responsible and strategic integration of AI is important for developing effective educational strategies and evolving academic policies.

Accompanied by actionable recommendations, this book is a valuable resource for anyone navigating the intricate landscape of AI in education, offering a roadmap to informed pedagogical decision-making and innovative teaching practices. It will be particularly beneficial for academics, educational administrators, curriculum designers, and policymakers as it translates complex AI concepts and educational theories into tangible, practical strategies for implementation.

List of Figures. List of Tables. About the Editors. List of Contributors. Preface. 1 AI in Higher Education—A Paradigm Shift in Accounting and Business Pedagogy. 2 Generative AI in Accounting Education: Empirical Evidence on Personalized Learning and Ethical Challenges. 3 Balancing Efficiency and Engagement: The Role of Generative AI Feedback in Accounting Education. 4 Leveraging Generative AI: Enhancing Learning Outcomes in Accounting Education. 5 Transforming Accounting Education: The Impact of Generative AI on Student Learning Experiences. 6 Generative AI: Reshaping Accounting and Finance Education for the Future. 7 Unlocking Student Engagement: The Role of AI in Accounting Education. 8 The AI Paradox in Accounting and Business Studies: Efficiency Versus Ethics. 9 Navigating Ethics in the AI Age: Perceptions of Academic Integrity in Accounting Education. 10 AI-Powered Personalization in Accounting Pedagogy: A TAM-SDT Integration Framework. 11 Generative AI in Accounting Education: Student Perceptions and Effectiveness in an Advanced Accounting Course. 12 Theorizing AI in Accounting Education: Extending Cognitive Load Theory, Technology Acceptance Model, and Self-Regulated Learning for Text Summarization. 13 Policy, Practice, and Future Research on AI in Accounting Education. Index.