Buch, Englisch, 408 Seiten, Format (B × H): 156 mm x 234 mm
AI, Ethics, and Sustainability in Higher Education
Buch, Englisch, 408 Seiten, Format (B × H): 156 mm x 234 mm
Reihe: Intelligent Systems of Computing and Informatics
ISBN: 978-1-041-24025-9
Verlag: Taylor & Francis Ltd
This book examines AI’s transformative impact on higher education, from enhancing teaching and learning to raising ethical challenges like academic integrity and bias. It provides a balanced exploration of AI-driven tools, policies, and governance, aligning with SDG 4: Quality Education, to ensure AI is used responsibly and effectively. It serves as a comprehensive guide for navigating the opportunities and risks of AI integration in academia.
A key highlight is the book’s focused exploration of Generative AI and OpenAI tools, distinguishing it from broader discussions. It specifically addresses how these technologies impact assessment and academic integrity. The book offers a practical, structured approach by integrating AI concepts with established educational taxonomies like Bloom’s and SOLO. This allows for a targeted discussion on personalized learning and skill development. It provides case studies, real-world applications, and comparative analyses of institutional strategies, offering actionable guidance for educators and policymakers. By delving into policies and governance, it helps universities navigate the complexities of AI adoption.
The book’s research-based insights and practical focus make it an essential guide for managing AI in a rapidly evolving academic landscape. This book is for researchers and practitioners, including educators and policymakers, seeking a comprehensive and practical guide to understanding and responsibly implementing AI in higher education.
Zielgruppe
Postgraduate, Professional Reference, and Undergraduate Advanced
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
1. Introduction to AI, Ethics and Sustainability in Higher Education. Section 1: Artificial Intelligence (AI). 2. Artificial Intelligence in Higher Education: A Systematic Review of Human, Ethical, and Sustainability Challenges. 3. Fostering Inclusive Digital Literacy in Malaysia’s Orang Asli Communities through Artificial Intelligence and Augmented Reality. 4. Opportunities and Disconnections: A Review of the Current State of Integration between AI Simulators and TVET Based on Bibliometric Analysis. 5. From Automation to Accountability: The Promise and Perils of AI in Formative and Summative Assessments. 6. AI in Instructor Support: Enhancing Teaching Efficiency and Content Delivery. Section 2: Ethics. 7. AI-Enabled Assessments and Competency-Based Learning: Policy and Ethics in Implementation. 8. Ethical AI Policies for Higher Education: A Framework for Responsible AI Integration. 9. Retrieval-Augmented Generation in Education Architecture, Distance Metrics, and Agentic Design. 10. OpenAI and Large Language Models in Higher Education: Opportunities and Threats. 11. Effective Index Across Regions and Ethical Architecture for Authorship Detection. Section 3: Sustainability. 12. Sustainable Teaching through GenAI: Enhancing Instructor Support and Teaching Efficiency. 13. AI for Knowledge Synthesis in Future Learning: Advancing Ethical and Sustainable Education. 14. The Opportunities and Impacts of Large Language Models in Higher Education. 15. AI Infused Value Driven Design Thinking Framework for Engineering Education. 16. Sustainable AI in Education: Tools, Challenges, and the Way Forward.
