Artificial Intelligence and Higher Education: The Impact of AI on Business Students' Learning. Routledge Studies in Innovation, Organizations and Technology
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| Title: | Artificial Intelligence and Higher Education: The Impact of AI on Business Students' Learning. Routledge Studies in Innovation, Organizations and Technology |
|---|---|
| Language: | English |
| Authors: | Katerina Beta |
| Source: | Routledge, Taylor & Francis Group. 2026. |
| Availability: | Routledge, Taylor & Francis Group. 7625 Empire Drive, Florence, KY 41042. Tel: 800-634-7064; Fax: 800-248-4724; e-mail: cserve@routledge-ny.com; Web site: http://www.routledge.com |
| Peer Reviewed: | N |
| Page Count: | 130 |
| Publication Date: | 2026 |
| Intended Audience: | Teachers; Policymakers; Researchers; Students |
| Document Type: | Book Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Artificial Intelligence, Technology Uses in Education, Higher Education, Influence of Technology, Business Education, Graduate Students, Foreign Countries, Ethics, Educational Benefits, Privacy, Bias, Accountability, Technology Integration, Outcomes of Education |
| Geographic Terms: | United Kingdom |
| ISBN: | 978-1-04-112323-1 |
| Abstract: | This book offers a comprehensive exploration of how artificial intelligence (AI) is transforming postgraduate business education in UK higher education institutions. It examines AI's evolution, applications, and ethical dimensions, integrating theoretical analysis with empirical research grounded in a critical realist and mixed-methods framework. Through insights from students, academics, and institutional perspectives, the book highlights how AI enhances personalisation, engagement, and flexibility in learning while also raising important questions about privacy, bias, and accountability. Bridging research and practice, this work provides educators, policymakers, and researchers with a nuanced understanding of AI's pedagogical and ethical implications. It critically evaluates the opportunities and challenges of AI adoption and offers strategies for responsible and human-centred integration of intelligent technologies in higher education. The book will appeal to scholars and advanced students in education, business, and technology--particularly those interested in higher education studies, digital transformation, and ethical AI governance. By combining conceptual insight with empirical evidence, it serves as both a theoretical foundation and a practical guide for rethinking teaching, learning, and institutional strategy in the age of AI. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Access URL: | https://www.routledge.com/Artificial-Intelligence-and-Higher-Education-The-Impact-of-AI-on-Business-Students-Learning/Beta/p/book/9781041123231 |
| Accession Number: | ED680784 |
| Database: | ERIC |
| Abstract: | This book offers a comprehensive exploration of how artificial intelligence (AI) is transforming postgraduate business education in UK higher education institutions. It examines AI's evolution, applications, and ethical dimensions, integrating theoretical analysis with empirical research grounded in a critical realist and mixed-methods framework. Through insights from students, academics, and institutional perspectives, the book highlights how AI enhances personalisation, engagement, and flexibility in learning while also raising important questions about privacy, bias, and accountability. Bridging research and practice, this work provides educators, policymakers, and researchers with a nuanced understanding of AI's pedagogical and ethical implications. It critically evaluates the opportunities and challenges of AI adoption and offers strategies for responsible and human-centred integration of intelligent technologies in higher education. The book will appeal to scholars and advanced students in education, business, and technology--particularly those interested in higher education studies, digital transformation, and ethical AI governance. By combining conceptual insight with empirical evidence, it serves as both a theoretical foundation and a practical guide for rethinking teaching, learning, and institutional strategy in the age of AI. |
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| ISBN: | 978-1-04-112323-1 |
