Publisher's description: In this original book, B. Kumaravadivelu presents a macrostrategic framework designed to help both beginning and experienced teachers develop a systematic, coherent, and personal theory of practice. His book provides the tools a teacher needs in order to self-observe, self-analyze, and self-evaluate his or her own teaching acts. The framework consists of ten macrostrategies based on current theoretical, empirical, and experiential knowledge of second language and foreign language teaching. These strategies enable teachers to evaluate classroom practices and to generate techniques and activities for realizing teaching goals. With checklists, surveys, projects, and reflective tasks to encourage critical thinking, the book is both practical and accessible. Teachers and future teachers, researchers, and teacher educators will find the volume indispensable.

This book includes a deep-dive into the mindsets and methods of Co-design. It draws on the authors' experience across Australia and New Zealand, as well as design, trauma-informed practice, collective learning and social movements.

Research is often seen as a neutral, technical process through which researchers simply reveal or discover knowledge. A broader and more self-reflective stance is advocated in Beyond Method, one in which a knowledge of technique needs to be complemented by an appreciation of the nature of research as a distinctively human process, through which researchers make knowledge. Such an appreciation requires a reframing of understanding and debate about research, in a way that goes beyond considerations of method alone.

Collecting and Conserving Net Art explores the qualities and characteristics of net art and its influence on conservation practices. By addressing and answering some of the challenges facing net art and providing an exploration of its intersection with conservation, the book casts a new light on net art, conservation, curating and museum studies. Viewing net art as a process rather than as a fixed object, the book considers how this is influenced by and executed through other systems and users. Arguing that these processes and networks are imbued with ambiguity, the book suggests that this is strategically used to create suspense, obfuscate existing systems and disrupt power structures. The rapid obsolescence of hard and software, the existence of many net artworks within restricted platforms and the fact that artworks often act as assemblages that change or mutate, make net art a challenging case for conservation. Taking the performative and interpretive roles conservators play into account, the book demonstrates how practitioners can make more informed decisions when responding to, critically analysing or working with net art, particularly software-based processes. Collecting and Conserving Net Art is intended for researchers, academics and postgraduate students, especially those engaged in the study of museum studies, conservation and heritage studies, curatorial studies, digital art and art history. The book should also be interesting to professionals who are involved in the conservation and curation of digital arts, performance, media and software.

"Beyond Method provides a forum for scholars across health and human sciences disciplines to explore issues surrounding philosophy, methodology, and epistemology in the context of interpretive scholarship. The essays comprising this volume move beyond the practical descriptions or the "how to" of interpretive methods commonly found in textbooks to explore the contributions, underlying assumptions, limitations, and possibilities embedded within and across particular philosophical, methodological, and epistemological perspectives. They reveal the complexity and richness of understanding that emerges when philosophical issues are explicated within contemporary contexts, illuminating new possibilities for healthcare and human science scholarship"--Publisher description.

Research Methods and Design Beyond a Single Discipline presents and discusses 15 research methods after an overview of each, an illustration of the research process, and an examination of related topics. The focus of this book is on data collection techniques (e.g., interviewing, observation, questionnaires) and research design. Research methods are named and categorized by data collection techniques in this book rather than by the quantitative and qualitative dichotomy used for data analysis techniques. Each of the 15 research methods included in the book is depicted regarding its functions, features, applications, and dos and don’ts, with examples and case studies from various disciplines. Research methodology development in research design starts with selection of data collection techniques, which takes into consideration research questions of a study and research method features. Data analysis techniques and selection are described as part of the research methodology development to help readers choose the most appropriate methodology for their own research, and put research design into practice. This book is essential for masters and doctoral students, and researchers who wish to learn about research methods and design comprehensively and systematically, as well as instructors delivering research methods courses across the social and behavioral sciences.

This book presents recent research on probabilistic methods in economics, from machine learning to statistical analysis. Economics is a very important – and at the same a very difficult discipline. It is not easy to predict how an economy will evolve or to identify the measures needed to make an economy prosper. One of the main reasons for this is the high level of uncertainty: different difficult-to-predict events can influence the future economic behavior. To make good predictions and reasonable recommendations, this uncertainty has to be taken into account. In the past, most related research results were based on using traditional techniques from probability and statistics, such as p-value-based hypothesis testing. These techniques led to numerous successful applications, but in the last decades, several examples have emerged showing that these techniques often lead to unreliable and inaccurate predictions. It is therefore necessary to come up with new techniques for processing the corresponding uncertainty that go beyond the traditional probabilistic techniques. This book focuses on such techniques, their economic applications and the remaining challenges, presenting both related theoretical developments and their practical applications.