Accompanying The Routledge Doctoral Student’s Companion this book examines what it means to be a doctoral student in education and the social sciences, providing a guide for those supervising ...students. Exploring the key role and pedagogical challenges that face supervisors in students’ personal development, the contributors outline the research capabilities which are essential for confidence, quality and success in doctorate level research. Providing guidance about helpful resources and methodological support, the chapters:
frame important questions within the history of debates
act as a road map through international literatures
make suggestions for good practice
raise important questions and provide answers to key pedagogical issues
provide advice on enabling students’ scholarly careers and identities.
While there is no one solution to ideal supervision, this wide-ranging text offers resources that will help supervisors develop their own personal approach to supervision. Ideal for all supervisors whether assisting part-time of full-time students, it is also highly suitable for helping academics to support international students who confront Western doctoral traditions and academic cultures, helping both supervisor and student to understand why things are as they are.
Part I Introduction Why the doctoral companions? Melanie Walker and Pat Thomson Notes on Contributors Illustrations (Tables/Figures) Using this book 1. The changing nature of the doctorate and doctoral students Pat Thomson and Melanie Walker Part II: Supervision as pedagogy/ies 2. Doctoral education as ‘capability formation’ Melanie Walker 3. Perhaps I should be more proactive in changing my own supervisions': student agency in 'doing supervision Jackie Goode 4. From poster to PhD: the evolution of a literature review Kerryn Dixon and Hilary Janks 5. Understanding doctoral research for professional practitioners Terry Evans 6. Critical transcultural exchanges: educational development for supervisors Catherine Manathunga 7. Negotiating the layered relations of supervision Barbara M. Grant 8. Adapting signature pedagogies in doctoral education: The case of teaching how to work with the literature Chris M. Golde Part III: Challenges in supervision pedagogy/ies 9. Supervising part-time doctoral students: issues and challenges Jacqueline H. Watts 10. Supervising part-time doctoral students Terry Evans 11. Fortunate travellers: learning from the multiliterate lives of doctoral students Sue Starfield 12. Internationalization of higher education: challenges for the doctoral supervisor Anna Robinson-Pant 13. International Students and Doctoral Studies in Transnational Spaces Fazal Rizvi 14. The doctorate in the life course Diana Leonard 15. Rhythms of place: Time and space in the doctoral experience Sue Middleton 16. Global social justice, critical policy, and doctoral pedagogical spaces Elaine Unterhalter 17. Coming to terms with research practice - Riding the emotional rollercoaster of doctoral research studies Angus Morrison-Saunders, Susan A. Moore, Michael Hughes and David Newsome 18. Doctoral education in global times - ‘Scholarly quality’ as practical ethics in research Terri Seddon 19. The truth is not out there: becoming ‘undetective’ in social and educational inquiry - Crime fiction and social inquiry: intertextual continuities Noel Gough 20. A personal reflection on doctoral supervision from a feminist perspective Miriam E. David 21. Writing in, writing out: Doctoral writing as peer work Claire Aitchison and Alison Lee 22. Creating discursive and relational communities through an international doctoral student exchange Julie McLeod and Marianne Bloch 23. The relationship between doctoral students’ approach to research and experiences of their research environment Keith Trigwell 24. Educating the doctoral student: don’t forget the teaching Tony Harland
Pat Thomson is Professor of Education at the University of Nottingham, and an Adjunct Professor at the University of South Australia and a Visiting Professor at Deakin University, Victoria, Australia.
Melanie Walker is Professor of Higher Education at the University of Nottingham, and is also Extraordinary Professor at the University of the Western Cape, South Africa.
Monitoring health inequality is a practice that fosters accountability and continuous improvement within health systems. The cycle of health inequality monitoring helps to identify and track health ...differences between subgroups providing evidence and feedback to strengthen equity-oriented policies programmes and practices. Through inequality monitoring and the use of disaggregated data countries gain insight into how health is distributed in the population looking beyond what is indicated by national averages. Data about health inequalities underlie health interventions that aim to reach vulnerable populations. Furthermore they constitute an evidence base to inform and promote equity-oriented health initiatives including the movement towards equitable universal health coverage. _x000D__x000D_ _x000D__x000D_ This Handbook is a user-friendly resource developed to help countries establish and strengthen health inequality monitoring practices. The handbook elaborates on the steps of health inequality monitoring including selecting relevant health indicators and equity stratifiers obtaining data analysing data reporting results and implementing changes. Throughout the handbook examples from low- and middle-income countries are presented to illustrate how concepts are relevant and applied in real-world situations; informative text boxes provide the context to better understand the complexities of the subject. The final section of the handbook presents an expanded example of national-level health inequality monitoring of reproductive maternal and child health. _x000D__x000D_.
Magnetic Resonance Imaging (MRI) is among the most important medical imaging techniques available today. There is an installed base of approximately 15,000 MRI scanners worldwide. Each of these ...scanners is capable of running many different "pulse sequences", which are governed by physics and engineering principles, and implemented by software programs that control the MRI hardware. To utilize an MRI scanner to the fullest extent, a conceptual understanding of its pulse sequences is crucial. This book offers a complete guide that can help the scientists, engineers, clinicians, and technologists in the field of MRI understand and better employ their scanner.
·Explains pulse sequences, their components, and the associated image reconstruction methods commonly used in MRI·Provides self-contained sections for individual techniques·Can be used as a quick reference guide or as a resource for deeper study·Includes both non-mathematical and mathematical descriptions ·Contains numerous figures, tables, references, and worked example problems
This unique handbook provides a vivid multidisciplinary dimension through technological perspectives to present cutting-edge research in the field of natural coloration and finishing. The 20 chapters ...are divided in to four parts: substrates for coloration and finishing; renewable colorants and their applications; advanced materials and technologies for coloration and finishing; and sustainability.
The Handbooks of Applied Linguistics provide a state-of-the-art description of established and emerging areas of Applied Linguistics. Each volume gives an overview of the field, explains the most ...important traditions and their findings, identifies the gaps in current research, and gives perspectives for future directions.
The Data Science Handbook Cady, Field
2017, 2017-02-28T00:00:00, 2017-02-03, 2017-03-03, 2017.
eBook
A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scientist has been likened to hunting for a ...unicorn: the required combination of technical skills is simply very hard to find in one person. In addition, good data science is not just rote application of trainable skill sets; it requires the ability to think flexibly about all these areas and understand the connections between them. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. Unlike many analytics books, computer science and software engineering are given extensive coverage since they play such a central role in the daily work of a data scientist. The author also describes classic machine learning algorithms, from their mathematical foundations to real-world applications. Visualization tools are reviewed, and their central importance in data science is highlighted. Classical statistics is addressed to help readers think critically about the interpretation of data and its common pitfalls. The clear communication of technical results, which is perhaps the most undertrained of data science skills, is given its own chapter, and all topics are explained in the context of solving real-world data problems. The book also features: • Extensive sample code and tutorials using Python™ along with its technical libraries • Core technologies of "Big Data," including their strengths and limitations and how they can be used to solve real-world problems • Coverage of the practical realities of the tools, keeping theory to a minimum; however, when theory is presented, it is done in an intuitive way to encourage critical thinking and creativity • A wide variety of case studies from industry • Practical advice on the realities of being a data scientist today, including the overall workflow, where time is spent, the types of datasets worked on, and the skill sets needed The Data Science Handbook is an ideal resource for data analysis methodology and big data software tools. The book is appropriate for people who want to practice data science, but lack the required skill sets. This includes software professionals who need to better understand analytics and statisticians who need to understand software. Modern data science is a unified discipline, and it is presented as such. This book is also an appropriate reference for researchers and entry-level graduate students who need to learn real-world analytics and expand their skill set. FIELD CADY is the data scientist at the Allen Institute for Artificial Intelligence, where he develops tools that use machine learning to mine scientific literature. He has also worked at Google and several Big Data startups. He has a BS in physics and mathfrom Stanford University, and an MS in computer science from Carnegie Mellon.
The first book of its kind, the LCA Handbookwill become an invaluable resource for environmentally progressive manufacturers and suppliers, product and process designers, executives and managers, and ...government officials who want to learn about this essential component of environmental sustainability.
The Handbook of Language and Globalization brings together important new studies of language and discourse in the global era, consolidating a vibrant new field of sociolinguistic research. The first ...volume to assemble leading scholarship in this rapidly developing field Features new contributions from 36 internationally-known scholars, bringing together key research in the field and establishing a benchmark for future research Comprehensive coverage is divided into four sections: global multilingualism, world languages and language systems; global discourse in key domains and genres; language, values and markets under globalization; and language, distance and identities Covers an impressive breadth of topics including tourism, language teaching, social networking, terrorism, and religion, among many others Winner of the British Association for Applied Linguistics book prize 2011.
