Athletes and fitness warriors in the West are constantly looking to train and recover better. They gain muscle mass through weight training but find that their sports performance suffers. They reach a target weight by following a strict diet but feel bloated or tired. They appear to be in great shape but consistently underperform because of mental stress. We need to know how to balance the different training variables available to us in order to achieve and sustain optimum fitness and performance in our lives. In Dynamic Balance, authors Andy (Tsz Chiu) Chan and Stella (Yat Kwan) Wong show why the rigors of Western approaches to training often create imbalances in our physical and mental health. They explain traditional Chinese medicine (TCM) principles and techniques in simple terms and demonstrate how incorporating TCM into our lifestyle and workouts can help us perform at our best and be at our healthiest. TCM is not a myth or weird alternative to real medicine but an ancient practice that’s based in science and relevant to us today. In this book, you’ll learn how to: • evaluate the current state of your body and figure out your constitution type • find the root causes of your imbalances • adapt your diet and workouts • strengthen your breathing and develop harmony in your movements • make better-informed decisions about your health Your body and fitness needs are dynamic and always changing, as are the situations in the world around you. Dynamic Balance will show you how to adjust your training, diet, and mentality to improve your performance, live a healthier life, and reach your goals.
This book presents an extensive analysis of the multifaceted benefits that higher education in the humanities offers individuals and society, as explored in the context of Hong Kong. Using both quantitative graduate employment survey data and qualitative data from interviews with past humanities graduates and with leading humanities scholars, the study provides an objective picture of the “value” of humanities degrees in relation to the economic needs and growth of Hong Kong, together with an in-depth exploration of their value and use in the eyes of humanities graduates and practitioners. Therefore, although it is hardly the only book on the value and status quo of the humanities worldwide, it nonetheless stands out in this crowded field as one of the very few extended studies that draws on empirical data. The book will appeal to both an academic and a wider audience, including members of the general public, non-academic educators, and government administrators interested in the status quo of humanities education, whether in Hong Kong or elsewhere. The report also includes a wealth of text taken directly from interviews with humanities graduates, who share their compelling life stories and views on the value of their humanities education.
Artificial Intelligence is at the top of the agenda for education leaders, scientists, technologists and policy makers in educating the next generation across the globe. Beyond applying AI in daily life applications and educational tools, understanding how to learn and teach AI is increasingly important. Despite these emerging technology breakthroughs, AI learning is still new to educators especially to K-16 teachers. There is a lack of evidence-based studies that inform them about AI learning, including design principles for building a set of curriculum content, and pedagogical approaches as well as technological tools. Teaching AI concepts and techniques from programming languages and developmentally appropriate learning tools (e.g., robotics, serious games, software, intelligent agents) across different education levels emerged in recent years. The primary purpose of this book is to respond to the need to conceptualize the emerging term “AI literacy” and investigate how to teach and learn AI in K-16 education settings. This book examines different aspects of learning artefacts, pedagogies, content knowledge and assessment methods of AI literacy education, from theoretical discussions to practical recommendations for curriculum and instructional design. An exhaustive summary of current evidence with examples is illustrated in this book, as well as cutting-edge research that serves as an AI literacy model for different countries’ contexts. Part I, “Conceptualizing AI literacy”, provides a detailed discussion on the development of the concepts and frameworks on AI literacy education, discusses the differences and similarities between AI in education (AIED) and AI literacy education, and illustrates the reasons why K-16 students need to learn AI. These concepts are brought together in Part II, “K-16 AI literacy education” to further summarize the pedagogies, learning content, learning tools and assessment methods to inform K-16 educators how to design their AI instruction at each education level. After that, part III “AI literacy for instructional designers” explores how instructional designers (i.e., AI developers and teachers) prepare themselves to become ready to design developmentally appropriate tools, platforms, services and curricula to empower students with AI literacy skills.
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