This book draws on the responses to learning and teaching and applied education futures thinking, that provide insights into the future of learning. It brings together more than 30 novel and important applied research and scholarly contributions from around the world, including Australia, Canada, Finland, Germany, Hong Kong, Japan, Macau, Mainland China, Malaysia, Morocco, Pakistan, and the UK. The chapters, including reflective essays and practice-based case examples, are divided into five major themes: • Future ready values and competencies for the future of work • Innovative pedagogies in applied degree learning and training • Driving student access, engagement, and success through digital technologies • Intelligent technologies: Embedding the new world of work into applied degrees • Lifelong learning, partnering, and the future of work This book is important for readers interested in international perspectives on the future of work and professional education.
This edited volume sets the stage for discussion on Education 4.0, with a focus on applied degree education and the future of work. Education 4.0 refers to the shifts in the education sector in response to Industry 4.0 where digital transformation is impacting the ways in which the world of work and our everyday lives are becoming increasingly automated. In the applied degree sector, significant change and transformation is occurring as leaders, educators and partners evolve smart campus environments to include blended learning, artificial intelligence, data analytics, BYOD devices, process automation and engage in curriculum renewal for and with industries and professions. This volume aims to profile and enhance the contribution of applied educational practice and research particularly in the applied degree sector and includes contributions that show case real world outcomes with students and industry as partners. This edited volume includes a wide range of topics, such as rethinking the role of education and educators; curriculum and the future of work; industrial partnership, collaboration and work integrated learning; vocational and professional practices; students, industry and professions as partners; employability skills and qualities for the 21st century world of work; innovative pedagogy and instructional design; adaptive learning technologies; and data analytics, assessment and feedback. The contributors come from different parts of the world in higher education, including, Canada, China, Finland, Germany, Hong Kong, Italy, Macau, Singapore and the United Kingdom.
This open access book critiques real world learning across both the curriculum and extracurricular activities. Drawing on disciplines as diverse as business, health, fashion, sociology and geography, the editors and authors employ a cross-disciplinary approach to examine how this concept is being applied in higher education. Divided into three parts, the authors and contributors analyse broader applications of real world learning, student experience of practicing in a real world setting, and how learning strategies can be employed to engage students in real world learning. The editors and contributors provide up-to-date, cross-disciplinary and international insights into how real world learning could be integrated into the higher education curriculum to support effective, relevant and life-long learning for 21st century students.
Higher education has changed significantly over time. In particular, traditional face-to-face degrees are being revamped in a bid to ensure they stay relevant in the 21st century and are now offered online. The transition for many universities to online learning has been painful—only exacerbated by the COVID-19 pandemic, forcing many in-person students to join their virtual peers and professors to learn new technologies and techniques to educate. Moreover, work has also changed with little doubt as to the impact of digital communication, remote work, and societal change on the nature of work itself. There are arguments to be made for organizations to become more agile, flexible, entrepreneurial, and creative. As such, work and education are both traversing a path of immense changes, adapting to global trends and consumer preferences. The Handbook of Research on Future of Work and Education: Implications for Curriculum Delivery and Work Design is a comprehensive reference book that analyzes the realities of higher education today, strategies that ensure the success of academic institutions, and factors that lead to student success. In particular, the book addresses essentials of online learning, strategies to ensure the success of online degrees and courses, effective course development practices, key support mechanisms for students, and ensuring student success in online degree programs. Furthermore, the book addresses the future of work, preferences of employees, and how work can be re-designed to create further employee satisfaction, engagement, and increase productivity. In particular, the book covers insights that ensure that remote employees feel valued, included, and are being provided relevant support to thrive in their roles. Covering topics such as course development, motivating online learners, and virtual environments, this text is essential for academicians, faculty, researchers, and students globally.
Artificial Intelligence (AI) has rapidly emerged as a revolutionary force across various sectors, with a profound influence permeating the domain of higher education. AI in higher education encompasses a wide range of applications designed to enhance teaching methodologies, streamline administrative processes, and personalize learning experiences. The transformative potential of AI lies in its ability to process vast amounts of data, identify patterns, and make intelligent decisions, which can significantly improve educational outcomes. AI-Driven Learning and Engagement in Higher Education provides a comprehensive exploration of these themes and offers insights into the theoretical foundations, practical applications, and ethical implications of AI in education. Each chapter delves into specific aspects of AI integration, from personalized learning and intelligent tutoring systems to administrative automation and ethical considerations. Covering topics such as applied artificial intelligence, online learning, and student success, this book is an excellent resource for educators, administrators, policymakers, researchers, academicians, and more.
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
This book includes selected papers from the Hong Kong Association for Educational Communications and Technology (HKAECT) 2023 International Conference. It provides readers with a collection of insightful chapters which delves into the realms of data visualization, artificial intelligence (AI), virtual reality (VR), and augmented reality (AR). It also reflects on the dynamic shifts in online learning, blended learning, and self-directed learning. Part one of the volume includes case studies and examples of the integration of advanced technologies, such as data visualization, generative AI, and mixed reality in education. Part two shares experiences and observations from educators who embrace online learning, blended learning, and independent learning. Part three investigates the influences digital education has on learning, teaching, and society as a whole. The book paves a path for thought-provoking discussions on the future of education in a digitally connected world. It is a vital resource for educators, administrators, policymakers, and learners seeking to navigate and thrive in the rapidly evolving world of digital education.
