Contemporary ways of understanding human movements, specifically movement learning, are heavily dominated by individualistic, dualistic and mechanistic perspectives. These perspectives are individualistic in the sense that in research as well as in educational practice movements/movers are typically decontextualized, they are dualistic in the sense that the body is taken to be ‘inhabited’, even ‘governed,’ by a rational mind which is not itself a part of that body; and they are mechanistic in the sense that movements and movement learning can be ‘calculated’. This approach has supported the dominance of a westernised and predominantly white, masculinised and heteronormative view of able bodies, embodiment and movements. Hence, it has contributed to marginalise not only other approaches and perspectives and individuals. New research has evolved, including new approaches and these held perspectives have been challenged by social and culturally sensitive, holistic as well as pluralistic, and dynamic/organic perspectives of human movements and moving humans. Examples of such research can be found in disciplines such as; physical education and pedagogy, ethnography, philosophy, and sociology. Learning Movements: New Perspectives of Movement Education provides the societal and epistemological background for these new approaches and will be essential in disseminating this knowledge to movement educators, academics and researchers as well as professionals within education, sports, health and fitness, dance, outdoor activities, etc., and that it will spearhead new and inclusive practices within these settings.

The rise of Far Right populism poses major challenges for communities, exacerbating divisions, hate speech and hate crime. This book shows how communities and social justice movements can effectively tackle these issues, working together to mitigate their underlying causes and more immediate manifestations. Showing that community-based learning is integral to the development of strategies to promote more hopeful rather than more hateful futures, Mayo demonstrates how, through popular education and participatory action research, communities can develop their own understandings of their problems. Using case studies that illustrate education approaches in practice, she shows how communities can engineer democratic forms of social change.

How do educators and activists in today’s struggles for change use historical materials from earlier periods of organizing for political education? How do they create and engage with independent and often informal archives and debates? How do they ultimately connect this historical knowledge with contemporary struggles? Reflections on Knowledge, Learning and Social Movements aims to advance the understanding of relationships between learning, knowledge production, history and social change. In four sections, this unique collection explores: • Engagement with activist/movement archives • Learning and teaching militant histories • Lessons from liberatory and anti-imperialist struggles • Learning from student, youth and education struggles Six chapters foreground insights from the breadth and diversity of South Africa’s rich progressive social movements; while others explore connections between ideas and practices of historical and contemporary struggles in other parts of the world including Argentina, Iran, Britain, Palestine, and the US. Besides its great relevance to scholars and students of Education, Sociology, and History, this innovative title will be of particular interest to adult educators, labour educators, archivists, community workers and others concerned with education for social change.

Experts translate the latest findings on embodied cognition from neuroscience, psychology, and cognitive science to inform teaching and learning pedagogy. Embodied cognition represents a radical shift in conceptualizing cognitive processes, in which cognition develops through mind-body environmental interaction. If this supposition is correct, then the conventional style of instruction—in which students sit at desks, passively receiving information—needs rethinking. Movement Matters considers the educational implications of an embodied account of cognition, describing the latest research applications from neuroscience, psychology, and cognitive science and demonstrating their relevance for teaching and learning pedagogy. The contributors cover a range of content areas, explaining how the principles of embodied cognition can be applied in classroom settings. After a discussion of the philosophical and theoretical underpinnings of embodied cognition, contributors describe its applications in language, including the areas of handwriting, vocabulary, language development, and reading comprehension; STEM areas, emphasizing finger counting and the importance of hand and body gestures in understanding physical forces; and digital learning technologies, including games and augmented reality. Finally, they explore embodied learning in the social-emotional realm, including how emotional granularity, empathy, and mindfulness benefit classroom learning. Movement Matters introduces a new model, translational learning sciences research, for interpreting and disseminating the latest empirical findings in the burgeoning field of embodied cognition. The book provides an up-to-date, inclusive, and essential resource for those involved in educational planning, design, and pedagogical approaches. Contributors Dor Abrahamson, Martha W. Alibali, Petra A. Arndt, Lisa Aziz-Zadeh, Jo Boaler, Christiana Butera, Rachel S. Y. Chen,Charles P. Davis, Andrea Marquardt Donovan, Inge-Marie Eigsti, Virginia J. Flood, Jennifer M. B. Fugate, Arthur M. Glenberg, Ligia E. Gómez, Daniel D. Hutto, Karin H. James, Mina C. Johnson-Glenberg, Michael P. Kaschak, Markus Kiefer, Christina Krause, Sheila L. Macrine, Anne Mangen, Carmen Mayer, Amanda L. McGraw, Colleen Megowan-Romanowicz, Mitchell J. Nathan, Antti Pirhonen, Kelsey E. Schenck, Lawrence Shapiro, Anna Shvarts, Yue-Ting Siu,Sofia Tancredi, Chrystian Vieyra, Rebecca Vieyra, Candace Walkington, Christine Wilson-Mendenhall, Eiling Yee

The book titled "Prediction of Stock Market Index Movements with Machine Learning" focuses on the performance of machine learning methods in forecasting the future movements of stock market indexes and identifying the most advantageous methods that can be used across different stock exchanges. In this context, applications have been conducted on both developed and emerging market stock exchanges. The stock market indexes of developed countries such as NYSE 100, NIKKEI 225, FTSE 100, CAC 40, DAX 30, FTSE MIB, TSX; and the stock market indexes of emerging countries such as SSE, BOVESPA, RTS, NIFTY 50, IDX, IPC, and BIST 100 were selected. The movement directions of these stock market indexes were predicted using decision trees, random forests, k-nearest neighbors, naive Bayes, logistic regression, support vector machines, and artificial neural networks methods. Daily dataset from 01.01.2012 to 31.12.2021, along with technical indicators, were used as input data for analysis. According to the results obtained, it was determined that artificial neural networks were the most effective method during the examined period. Alongside artificial neural networks, logistic regression and support vector machines methods were found to predict the movement direction of all indexes with an accuracy of over 70%. Additionally, it was noted that while artificial neural networks were identified as the best method, they did not necessarily achieve the highest accuracy for all indexes. In this context, it was established that the performance of the examined methods varied among countries and indexes but did not differ based on the development levels of the countries. As a conclusion, artificial neural networks, logistic regression, and support vector machines methods are recommended as the most advantageous approaches for predicting stock market index movements.

This book challenges the assumptions of creative agency and the role of Islamic education movements for women across the wider Muslim world.

'Life Chances, Education and Social Movements' explains the sociology of life chances; the opportunities and experiences of different generations in Australia, the United States and the UK; and how the differential distribution of life-enhancing opportunities affects our well-being. Ralf Dahrendorf’s life-chances theory is used to support the theoretical and empirical arguments in Lyle Munro’s book. For Dahrendorf, education is arguably the most important option individuals can utilise for improving their well-being and for overcoming social and economic disadvantages. While there are countless sociological accounts of inequality, Munro’s study takes a different and novel approach based on Dahrendorf’s model, according to which education and social movements and their networks function to enhance the life chances of individuals and social groups respectively.