Yuto Lim – författare

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.

This book gathers the proceedings of the Fourth International Conference on Computational Science and Technology 2017 (ICCST2017), held in Kuala Lumpur, Malaysia, on 29–30 November 2017. These proceedings offer practitioners and researchers the opportunity to present exciting advances in computational techniques and solutions in this area. They also identify emerging issues, help to shape future research directions, and will enable industrial users to apply cutting-edge, large-scale and high-performance computational methods.

This book features the proceedings of the Fifth International Conference on Computational Science and Technology 2018 (ICCST2018), held in Kota Kinabalu, Malaysia, on 29–30 August 2018. Of interest to practitioners and researchers, it presents exciting advances in computational techniques and solutions in this area. It also identifies emerging issues to help shape future research directions and enable industrial users to apply cutting-edge, large-scale and high-performance computational methods.

This book features the proceedings of the Fifth International Conference on Computational Science and Technology 2018 (ICCST2018), held in Kota Kinabalu, Malaysia, on 29–30 August 2018.

This book gathers the proceedings of the Fourth International Conference on Computational Science and Technology 2017 (ICCST2017), held in Kuala Lumpur, Malaysia, on 29–30 November 2017.

This book gathers the proceedings of the Sixth International Conference on Computational Science and Technology 2019 (ICCST2019), held in Kota Kinabalu, Malaysia, on 29–30 August 2019.

This book gathers the proceedings of the Sixth International Conference on Computational Science and Technology 2019 (ICCST2019), held in Kota Kinabalu, Malaysia, on 29–30 August 2019.

This book gathers the proceedings of the Seventh International Conference on Computational Science and Technology (ICCST 2021), held in Labuan, Malaysia, on 28–29 August 2021.