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The Greenwood dictionary of education
\"This book defines over 3,000 terms from the field of education to assist those charged with teaching students to become global citizens in a rapidly changing, technological society\"-- Provided by publisher.
Book
Artificial Intelligence and Machine Learning in Clinical Medicine, 2023
This first article in a series describes the history of artificial intelligence in medicine; the use of AI in image analysis, identification of disease outbreaks, and diagnosis; and the use of chatbots.
Journal Article
When can you trust the experts? : how to tell good science from bad in education
\"Each year, teachers, administrators, and parents face a barrage of new education software, games, workbooks, and professional development programs purporting to be 'based on the latest research.' While some of these products are rooted in solid science, the research behind many others is grossly exaggerated. This new book, written by a top thought leader, helps everyday teachers, administrators, and family members--who don't have years of statistics courses under their belts--separate the wheat from the chaff and determine which new educational approaches are scientifically supported and worth adopting\"-- Provided by publisher.
Book
Artificial Intelligence in Medicine
The editors announce both a series of articles focusing on AI and machine learning in health care and the 2024 launch of a new journal,
NEJM AI
, a forum for evidence, resource sharing, and discussion of the possibilities and limitations of medical AI.
Journal Article
Ideas for intercultural education
\"Written by a cross-cultural pair of authors, Ideas for Intercultural Education takes a critical look at present approaches to international education, focusing on the intercultural potential that it offers but mostly fails to deliver. The underlying premise of this profound, engaging book is that international education can be a transforming intercultural experience for hosts as well as visitors. Drawing on a review of the worldwide literature, especially studies from the United States, and two large interview programs with international students, the book dissects the obstacles and points the way to solutions in the classroom and beyond\"-- Provided by publisher.
Book
Key Issues as Wearable Digital Health Technologies Enter Clinical Care
The authors address the issues that must be confronted if we are to integrate the use of wearable digital health technologies into clinical care in a way that provides an enduring benefit to patients.
Journal Article
Funding higher education in Sub-Saharan Africa
\"If one looks around the world, the region perhaps least served by relevant research literature and analysis of higher education is Sub-Saharan Africa. Funding Higher Education in Sub-Saharan Africa addresses this gap. Drawing on in-depth, evidence-based research from nine countries including Botswana, Ethiopia, Kenya, Madagascar, Malawi, Tanzania, Uganda, Zambia and Zimbabwe, this volume sets out a comprehensive analysis of financing patterns currently being adopted by institutions across Eastern and Southern Africa to help accommodate the rapidly growing number of enrolments and massification of education. This book makes an impressive contribution to two key areas of Africa's higher education development: a better understanding of patterns of funding and the need to improve deeper research on African higher education. \"-- Provided by publisher.
Book
Navigating and Communicating about Serious Illness and End of Life
Key Clinical PointsNavigating and Communicating about Serious Illness and End of LifePartnering with patients as they navigate serious illness requires effectively communicating prognostic information while responding to the emotions generated by the conversation.Clinicians should expect, and have the skill, to engage in a continuum of conversations that allow patients to integrate prognostic information cognitively and emotionally.Patients oscillate between expressions of intense hopefulness and more realistic aspirations; this a normal and expected part of the process.Facilitating patient exploration of their hopes and worries allows them to grieve, understand their priorities, and build coping skills for living with a serious illness.As patients integrate prognostic information, clinicians should discuss what is most important to the patient given the likely illness trajectory and incorporate these goals and values into a recommendation about medical care, including care at the end of life.
Journal Article
Early years policy : the impact on practice
\"How does early years policy impact on practitioners, children, settings and families? What are the implications of current policy for the future? How can early years professionals shape and craft practice in ways that genuinely focus on the needs of children and families, rather than the interests of policy makers? This exciting new text explores the changing context and increasing importance of early years policy. It takes a broad look at policy developments and shows how these have affected children, settings, parents and the early years workforce. Divided into two parts, the first examines theoretical perspectives and sets out the early years policy context, looking at issues surrounding accountability, international influences on policy and the Early Years Foundation Stage. The second half of the book directly shows how policy has influenced practice, and considers: - the upskilling of the workforce and the impact of this on practitioners; - the development of the learning environment including outdoor provision; - sustained shared thinking and its link to high quality learning and teaching; - the impact of policy on parents. Offering a fresh perspective on early years policy, this timely textbook will be essential reading for students on undergraduate and postgraduate Early Years and Childhood Studies courses and those working towards Early Years Teacher status\"-- Provided by publisher.
Book
Medical Artificial Intelligence and Human Values
Key PointsMedical Artificial Intelligence and Human ValuesAs large language models and other artificial intelligence models are used more in medicine, ethical dilemmas can arise depending on how the model was trained. A user must understand how human decisions and values can shape model outputs. Medical decision analysis offers lessons on measuring human values.A large language model will respond differently depending on the exact way a query is worded and how the model was directed by its makers and users. Caution is advised when considering the use of model output in decision making.
Journal Article