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Full Description
As the educational landscape undergoes a profound transformation driven by technological advancements, this book establishes the critical significance of Generative Artificial Intelligence (GAI) in reshaping accounting and business pedagogy. It provides a comprehensive exploration of the subject, with a specific focus on the integration of GAI 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 GAI'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 GAI adoption in education. Drawing on robust data, case studies, and diverse student and faculty perspectives, it provides practical insights into the effectiveness of various GAI tools and their impact on student engagement, skill acquisition, and academic performance. It focuses on the crucial role of GAI 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 GAI is integral to 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 Generative 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.
Contents
1. GAI in Higher Education - A Paradigm Shift in Accounting and Business Pedagogy (Md Jahidur Rahman, Tarek Rana, and Hongtao Zhu) 2. Generative AI in Accounting Education: Empirical Evidence on Personalized Learning and Ethical Challenges (Md Jahidur Rahman, Tarek Rana, Hongtao Zhu, Zhijin Zhang, Qiling Zhan, and Muyun Wang) 3. Balancing Efficiency and Engagement: The Role of Generative AI Feedback in Accounting and Business Education (Md Jahidur Rahman, Tarek Rana, Hongtao Zhu, Wang Qijiang, Zhong Xiaochuan, and You Zilian) 4. Leveraging Generative AI: Enhancing Learning Outcomes in Accounting and Business Education (Md Jahidur Rahman, Tarek Rana, Hongtao Zhu, Sixuan Li, and Wenting Zhang) 5. Transforming Accounting Education: The Impact of Generative AI on Student Learning Experiences (Md Jahidur Rahman, Tarek Rana, Hongtao Zhu, Haoyun Zheng, Jiaheng Shi, and Jiaqi Wang) 6. Generative AI: Reshaping Accounting and Finance Education for the Future (Md Jahidur Rahman, Tarek Rana, Hongtao Zhu, Xie Ziyi, Xu Jiatong, and Lyu Yiqian) 7. Unlocking Student Engagement: The Role of Generative AI in Accounting and Business Education (Md Jahidur Rahman, Tarek Rana, Hongtao Zhu, Yishan Cao, Yuexin Luo, and Yehe Zhan) 8. The AI Paradox in Accounting and Business Studies: Efficiency vs. Ethics (Md Jahidur Rahman, Tarek Rana, Hongtao Zhu, Junjie Zhu, Yiwei Liu, Yiyun Miao, and Shiqi Wu) 9. Navigating Ethics in the AI Age: Perceptions of Academic Integrity in Accounting Education (Md Jahidur Rahman, Tarek Rana, Hongtao Zhu, Ding Xin, Shi Keran, and Zhao Yidi) 10. AI-Powered Personalization in Accounting Pedagogy: A TAM-SDT Integration Framework (Md Jahidur Rahman, Tarek Rana, and Hongtao Zhu) 11. Generative AI in Accounting Education: Student Perceptions and Effectiveness in an Advanced Accounting Course (Md Jahidur Rahman, Tarek Rana, Hongtao Zhu, and Cheng Chen) 12. Theorizing Generative AI in Accounting Education: Extending Cognitive Load Theory, Technology Acceptance Model, and Self-Regulated Learning for Text Summarization (Md Jahidur Rahman, Tarek Rana, Hongtao Zhu, Zihan Wang) 13. Policy, Practice, and Future Research on Generative AI in Accounting Education (Md Jahidur Rahman, Tarek Rana, Hongtao Zhu)
