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This book is to provide a critical reflection on the opportunities and challenges for internationalization and how tertiary education systems around the world learn from each other to address the new challenges of COVID-19. https://www.amazon.com/gp/product/1736469975/ref=as_li_qf_asin_il_tl?ie=UTF8&tag=jis0f5-20&creative=9325&linkCode=as2&creativeASIN=1736469975&linkId=df84c79e7331f749f04fb0440247b7eb
ChatGPT and Global Higher Education: Using Artificial Intelligence in Teaching and Learning
This volume uses case studies and students' lived experiences to document the impacts of coronavirus (COVID-19) on international students and explore future challenges and opportunities for student mobility within higher education. Responding to the growing need for new insights and perspectives to improve higher education policy and practice in the era of COVID-19, this text analyses the changing roles and responsibilities of institutions and international education leaders post-2020. Initial chapters highlight key issues for students that have arisen as a result of the global health crisis such as learning, well-being, and the changed emotional, legal, and financial implications of study abroad. Subsequent chapters confront potential longer-term implications of students’ experiences during COVID-19, and provide critical reflection on internationalization and the opportunities that COVID-19 has presented for tertiary education systems around the world to learn from one another. This timely volume will benefit researchers, academics, and educators with an interest in online teaching and e-learning, curriculum design, and more specifically those involved with international and comparative education. Those involved with educational policy and practice, specifically related to pandemic education, will also benefit from this volume.
Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]
"The work delves into topics such as the role of AI in designing learning assessment activities and instruments, strategies for maintaining academic integrity in the context of technology, and the creation of an adaptive and resilient learning culture."--Page four of cover.
This book is based on the argument that detailed and developmental formative feedback is the single most useful thing teachers can do for students. It helps to clarify the expectations of higher education and assist all students to achieve their potential. This book promotes student learning through formative assessment and feedback, which: enables self-assessment and reflection in learning encourages teacher-student dialogue helps clarify what is good performance provides students with quality information to help improve their learning encourages motivation and self-confidence in students aids the teacher in shaping teaching Underpinned by the relevant theory, the practical advice and examples in this book directly address the issues of how to motivate students to engage in formative assessment effectively and shows teachers how they can provide further useful formative feedback.
Praise for How Learning Works "How Learning Works is the perfect title for this excellent book. Drawing upon new research in psychology, education, and cognitive science, the authors have demystified a complex topic into clear explanations of seven powerful learning principles. Full of great ideas and practical suggestions, all based on solid research evidence, this book is essential reading for instructors at all levels who wish to improve their students' learning." —Barbara Gross Davis, assistant vice chancellor for educational development, University of California, Berkeley, and author, Tools for Teaching "This book is a must-read for every instructor, new or experienced. Although I have been teaching for almost thirty years, as I read this book I found myself resonating with many of its ideas, and I discovered new ways of thinking about teaching." —Eugenia T. Paulus, professor of chemistry, North Hennepin Community College, and 2008 U.S. Community Colleges Professor of the Year from The Carnegie Foundation for the Advancement of Teaching and the Council for Advancement and Support of Education "Thank you Carnegie Mellon for making accessible what has previously been inaccessible to those of us who are not learning scientists. Your focus on the essence of learning combined with concrete examples of the daily challenges of teaching and clear tactical strategies for faculty to consider is a welcome work. I will recommend this book to all my colleagues." —Catherine M. Casserly, senior partner, The Carnegie Foundation for the Advancement of Teaching "As you read about each of the seven basic learning principles in this book, you will find advice that is grounded in learning theory, based on research evidence, relevant to college teaching, and easy to understand. The authors have extensive knowledge and experience in applying the science of learning to college teaching, and they graciously share it with you in this organized and readable book." —From the Foreword by Richard E. Mayer, professor of psychology, University of California, Santa Barbara; coauthor, e-Learning and the Science of Instruction; and author, Multimedia Learning
Advances in Artificial Intelligence (AI) technology have opened up new markets and new opportunities for progress in critical areas such as health, education, energy, and the environment. In recent years, machines have surpassed humans in the performance of certain specific tasks, such as some aspects of image recognition. Experts forecast that rapid progress in the field of specialized artificial intelligence will continue. Although it is very unlikely that machines will exhibit broadly-applicable intelligence comparable to or exceeding that of humans in the next 20 years, it is to be expected that machines will reach and exceed human performance on more and more tasks. As a contribution toward preparing the United States for a future in which AI plays a growing role, this report surveys the current state of AI, its existing and potential applications, and the questions that are raised for society and public policy by progress in AI. The report also makes recommendations for specific further actions by Federal agencies and other actors.
In these highly competitive times and with so many technological advancements, it is impossible for any industry to remain isolated and untouched by innovations. In this era of digital economy, the banking sector cannot exist and operate without the various digital tools offered by the ever new innovations happening in the field of Artificial Intelligence (AI) and its sub-set technologies. New technologies have enabled incredible progression in the finance industry. Artificial Intelligence (AI) and Machine Learning (ML) have provided the investors and customers with more innovative tools, new types of financial products and a new potential for growth.According to Cathy Bessant (the Chief Operations and Technology Officer, Bank of America), AI is not just a technology discussion. It is also a discussion about data and how it is used and protected. She says, "In a world focused on using AI in new ways, we're focused on using it wisely and responsibly."