The Future of Learning

AI, Ethics, and Sustainability in Higher Education
1. Auflage 2026
ISBN: 978-1-041-24025-9
Verlag: Taylor & Francis Ltd

Buch, Englisch, 408 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Intelligent Systems of Computing and Informatics

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.

Omar, Mazni

Abdul Karim, Samsul Ariffin

Lim, Yuto

Fachgebiete

• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie
• Sozialwissenschaften Pädagogik Pädagogik
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein E-Learning
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

1 Introduction to AI, Ethics and Sustainability in Higher Education, Mazni Omar, Samsul Ariffin Abdul Karim, and Yuto Lim ARTIFICIAL INTELLIGENCE (AI) 2. Artificial Intelligence in Higher Education: A Systematic Review of Human, Ethical, and Sustainability Challenges, Jia Qi Cheong, Jaratin Lily, and Hon Kai Yee 3. Fostering Inclusive Digital Literacy in Malaysia's Orang Asli Communities through Artificial Intelligence and Augmented Reality, Husna Sarirah Husin, Kin Meng Cheng, Yodi, Suriana Ismail, Afizan Azman, and Norhidayah Hamzah 4. Opportunities and Disconnections: A Review of the Current State of Integration between AI Simulators and TVET Based on Bibliometric Analysis, Qin Qin, Hapini Awang, and Nur Suhaili Mansor 5. From Automation to Accountability: The Promise and Perils of AI in Formative and Summative Assessments, Nurliyana Bukhari and Amrita Kaur 6. AI in Instructor Support: Enhancing Teaching Efficiency and Content Delivery, Mazida Ahmad, Lanto Ningrayati Amali, Muhammad Rifai Katili, and Mawarny Md Rejab. ETHICS 7. AI-Enabled Assessments and Competency-Based Learning: Policy and Ethics in Implementation, Kamal Imran Mohd Sharif, Hwang Ha Jin, Timur Raskaliyev, Bogdan Petrov, Mazni Omar and Mahadi Hasan 8. Ethical AI Policies for Higher Education: A Framework for Responsible AI Integration, Abdul Rehman Gilal, Mazni Omar, Ruqaya Gilal, Kamal Imran Mohd Sharif, Muhammad Muhiuddin Abro, and Muhammad Yahya Gilal 9. Retrieval-Augmented Generation in Education Architecture, Distance Metrics, and Agentic Design, Ivy Do and Samsul Ariffin Abdul Karim 10. OpenAI and Large Language Models in Higher Education: Opportunities and Threats, Siti Hajar Khairuddin 11. Effective Index Across Regions and Ethical Architecture for Authorship Detection, Ivy Do and Samsul Ariffin Abdul Karim. SUSTAINABILITY 12. Sustainable Teaching through GenAI: Enhancing Instructor Support and Teaching Efficiency, Anitha Anandhan, S. Anitha, and Vijayalakshmi Kumaraswamy 13. AI for Knowledge Synthesis in Future Learning: Advancing Ethical and Sustainable Education, Ivy Do and Samsul Ariffin Abdul Karim 14. The Opportunities and Impacts of Large Language Models in Higher Education, Jeffrey Cheong, Wai Leong Pang, Hui Hwang Goh, Kian Lun Soon, Fazliyatul Azwa Md Rezali, and Kah Yoong Chan 15. AI Infused Value Driven Design Thinking Framework for Engineering Education, Chockalingam Aravind Vaithilingam, Kandappan Balasubramanian, and Samsul Ariffin Abdul Karim 16. Sustainable AI in Education: Tools, Challenges, and the Way Forward, Mazni Omar, Samsul Ariffin Abdul Karim, and Yuto Lim

Über Autor(innen)

Mazni Omar is an Associate Professor at Universiti Utara Malaysia and Research Fellow at IASDO. Specializing in software engineering, work covers agile management, software quality, processes, and AI-driven data mining. She has publications, secured grants, participates in Erasmus+ collaborations, contributes to Scopus-indexed journals as editorial board member and guest editor.

Samsul Ariffin Abdul Karim is an Associate Professor at Universiti Utara Malaysia with a PhD in Mathematics from Universiti Sains Malaysia and a registered MBOT Professional Technologist. His research includes numerical analysis, machine learning, and optimization. He has over 228 publications and 20 books, and has received multiple awards, including UTP Quality Day recognitions.

Yuto Lim received his B.Eng. (Hons) and M.Inf.Tech. from Universiti Malaysia Sarawak and a PhD from Kyoto University. He was a researcher at NICT, Japan, before joining JAIST, where he is now a Professor. His research includes quantum networks, wireless communication, IoT, smart cities, and cyber-physical systems.