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.

It will serve as a valuable resource for educators, researchers, and professionals seeking to leverage emerging technologies to enhance educational experiences and outcomes.

Serves as a guide for educators in effectively integrating Generative AI as a transformative teaching and learning tool Examines the pedagogical implications of Generative AI such as personalized learning, student engagement and assessment Addresses the ethical considerations of using AI in accounting and business education

Autorentext

Tarek Rana is an Associate Professor of Management Accounting and Analytics at RMIT University, Melbourne, Australia. He earned a PhD in Management Accounting at the University of New South Wales (UNSW) Australia. He has considerable professional and industry experience in the areas of business services, taxation, auditing, and financial planning as well as consulting services including performance measurement and risk management. He has formed many industry partnerships and undertaken practice focused research projects to deliver long-term social and organizational impact. His current research focuses on the intersection of accounting and data analytics including the implications of data analytics on management control systems, performance measurement, risk management, and sustainability where he draws on textual analytics, machine learning and artificial intelligence theories and practices. His research papers appeared in international and interdisciplinary scholarly journals suchas The British Accounting Review, Accounting Auditing and Accountability Journal, Financial Accountability & Management, Intelligent Systems in Accounting, Finance & Management, Business Strategy and the Environment, Public Money & Management, Journal of Accounting & Organisational Change, Journal of Cleaner Production, and Journal of Intellectual Capital.

Mohammad Azim is a highly esteemed professional with a distinguished career spanning over 23 years in academia. He has held positions at prestigious institutions such as the Australian National University, University of Canberra, University of South Australia, University of Adelaide, Swinburne University of Technology, CQ University, and currently serves as a faculty member at James Cook University. Moreover, he has also contributed his expertise to renowned international universities, including the University of Dhaka, North South University, National University of Vietnam, and Hong Kong Baptist University.

Dr. Azim's extensive qualifications include being a Chartered Accountant (CA ANZ), Certified Public Accountant (CPA, Australia), and a qualified Cost and Management Accountant (CMA, Australia). Through active engagement with prominent accounting bodies, he has further fortified his expertise in the field. Driven by his passion for research, he has made significant contributions, boasting an impressive portfolio of over 50 published studies. Many of his research works have been featured in top-tier international journals, attesting to their exceptional quality and relevance.

Gillian Vesty is Deputy Dean, Learning & Teaching at the College of Business and Law at RMIT University, Australia.

Kerry Russo is the Associate Dean, Learning & Teaching at James Cook University, College of Business, Law and Governance. Prior to taking up the position of Associate Dean, Kerry was a teacher, TAFE campus manager and educational designer. Kerry developed and implemented the online education design of the Bachelor of Business and built staff capacity in teaching online. Her role as Associate Dean includes leading the development of a learning and teaching culture committed to excellence, innovation and a positive student experience. Kerry works with academics in developing positive student learning experiences and student engagement approaches. Kerry is researching the digital divide and digital fluency. She found the divide is predicated on differing digital skills not access to digital devices. Kerry identified, resourcing schools with laptops without a digital curriculum, did not increase digital fluency. Kerry's research established appropriately resourcing school advances digital fluency. An experienced educator, Kerry's social justice values demonstrates a commitment to equality in quality education.

Inhalt

An introduction to Generative AI and its features.- Possible applications of Generative AI in higher education.- Exploring various scenarios and use cases where Generative AI can be effectively integrated into accounting and business curriculum education.- Understanding Generative AI.- The ethics of using AI in education.- Pedagogical Implications of Generative AI.- Curriculum Development and Innovation.- Ethics and Social Responsibility Addressing Ethical Issues in Generative AI based Education.- Text Summarization and Generative AI Helping Students with Study Materials.- The Role of Generative AI in Marketing and Advertising Curriculum.