A novel approach to STEAM learning that engages students from historically marginalized communities in culturally relevant and inclusive maker education. The growing maker movement in education has become an integral part of both STEM and STEAM learning, tapping into the natural DIY inclinations of creative people as well as the educational power of inventing or making things. And yet African American, Latino/a American, and Indigenous people are underrepresented in maker culture and education. In this book, Nettrice Gaskins proposes a novel approach to STEAM learning that engages students from historically marginalized communities in culturally relevant and inclusive maker education. Techno-vernacular creativity (TVC) connects technical literacy, equity, and culture, encompassing creative innovations produced by ethnic groups that are often overlooked. TVC uses three main modes of activity: reappropriation, remixing, and improvisation. Gaskins looks at each of the three modes in turn, guiding readers from research into practice. Drawing on real-world examples, she shows how TVC creates dynamic learning environments where underrepresented ethnic students feel that they belong. Students who remix computationally, for instance, have larger toolkits of computational skills with which to connect cultural practices to STEAM subjects; reappropriation offers a way to navigate cultural repertoires; improvisation is firmly rooted in cultural and creative practices. Finally, Gaskins explores an equity-oriented approach that makes a distinction between conventional or dominant pedagogical approaches and culturally relevant or responsive making methods and practices. She describes TVC habits of mind and suggests methods of instructions and projects.

The contributors to Captivating Technology examine how carceral technologies such as electronic ankle monitors and predictive-policing algorithms are being deployed to classify and coerce specific populations and whether these innovations can be appropriated and reimagined for more liberatory ends.

This innovative book examines the changing relationship between communities, citizens and the notion of the archive. Archives have traditionally been understood as repositories of knowledge and experience, remote from the ordinary people who fund and populate them, however digital resources have led to a growing plurality of archives and the practices associated with collecting and curating. This book uses a broad range of case studies which place communities at the heart of this exciting development, to illustrate how their experiences are central to our understanding of this new terrain which challenges traditional histories and the control of knowledge and power.

Investigating and reimagining the origin story of the sex doll through the tale of the sailor’s dames de voyage. The sex doll and its high-tech counterpart the sex robot have gone mainstream, as both the object of consumer desire and the subject of academic study. But sex dolls, and sexual technology in general, are nothing new. Sex dolls have been around for centuries. In Sex Dolls at Sea, Bo Ruberg explores the origin story of the sex doll, investigating its cultural implications and considering who has been marginalized and who has been privileged in the narrative. Ruberg examines the generally accepted story that the first sex dolls were dames de voyage, rudimentary figures made of cloth and leather scraps by European sailors on long, lonely ocean voyages in centuries past. In search of supporting evidence for the lonesome sailor sex doll theory, Ruberg uncovers the real history of the sex doll. The earliest commercial sex dolls were not the dames de voyage but the femmes en caoutchouc: “women” made of inflatable vulcanized rubber, beginning in the late nineteenth century. Interrogating the sailor sex doll origin story, Ruberg finds beneath the surface a web of issues relating to gender, sexuality, race, and colonialism. What has been lost in the history of the sex doll and other sex tech, Ruberg tells us, are the stories of the sex workers, women, queer people, and people of color whose lives have been bound up with these technologies.

The Sage Handbook of School Music Education stands as an essential guide for navigating the evolving educational landscape in the wake of the 2008 financial crisis and the transformative impact of the COVID-19 pandemic. The handbook addresses philosophical foundations, social justice challenges, the envisioning of a transformative curriculum, and critical issues in music teacher education. Written by a diverse team of leading scholars, this handbook offers a truly global perspective with contributors from Africa, Asia, Australasia, Europe, and North and South America. The handbook engages with the profound interplay of economic, political, and social forces that shape educational policies. Scholars within this collaborative work delve into what it means to educate in a world undergoing significant changes. This entails an exploration of emerging educational approaches, considerations for societal implications, and the interconnectedness of school music education with broader curricular and global contexts. As a cohesive resource, The Sage Handbook of School Music Education not only addresses the challenges faced by educators but also envisions the transformative potential of music education in fostering creativity, inclusivity, and adaptability. This handbook serves as a compass for students, practitioners and scholars in the field, and all those passionate about navigating the complexities of redefining music education for a new era. Part 1: Foundations Part 2: Struggling for Social Justice Through Music Education Part 3: Curriculum Development Part 4: Teacher Education

The Ethics of Artificial Intelligence in Education identifies and confronts key ethical issues generated over years of AI research, development, and deployment in learning contexts. Adaptive, automated, and data-driven education systems are increasingly being implemented in universities, schools, and corporate training worldwide, but the ethical consequences of engaging with these technologies remain unexplored. Featuring expert perspectives from inside and outside the AIED scholarly community, this book provides AI researchers, learning scientists, educational technologists, and others with questions, frameworks, guidelines, policies, and regulations to ensure the positive impact of artificial intelligence in learning.

This book examines the challenges faced by developmental scientists as the population under the age of 18 in the United States has become a majority-minority, with no racial/ethnic group having a numeric majority. The volume tackles how these demographic shifts compel scientists to consider the unique and universal processes that promote the growth, thriving, and resilience of these populations across this new landscape and also takes into account systems of oppression, power, privilege, racial justice, and structural disadvantage. It describes the challenges of conducting research with diverse populations and offers practical methodological solutions. The book provides an overview of the current demographic shifts and their implications for developmental researchers. It examines key diversity science constructs that need to be considered for all developmental research within this new global context in which societies are becoming more diverse. In particular, chapters address how to measure and conceptualize these constructs using within-group designs as well as research that includes youth from multiple backgrounds. In addition, the volume focuses on the contexts that shape the developmental trajectories of youth and how best to capture these contexts with an eye toward diversity science. Key areas of coverage include: Identifying best practices in the conceptualization and measurement of race and ethnicity in developmental science at the individual and contextual levels. Stimulating a dialogue that translates to an actionable agenda designed to tackle issues of conceptualization and measurement of key constructs associated with race/ethnicity. Leading-edge strategies for building interdisciplinary teams to conduct ethical and responsible work with diverse populations that include scholars of color. Finally, the book addresses translational work, including how the incorporation of diversity science can influence policy and help build collaborative research teams that are well-poised to conduct ethical research in these diverse populations. The volume provides recommendations for researchers to incorporate diversity science into their work. This book is a must-have resource for researchers, professors, clinicians, therapists and other professionals as well as graduate students in developmental, clinical child, and school psychology, public health, ethnic studies, counseling, anthropology, African American/Black Studies, Latinx/Latino/Chicano Studies, and Asian American Studies.

The ideas and practices related to afrofuturism have existed for most of the 20th century, especially in the north American African diaspora community. After Mark Dery coined the word "afrofuturism" in 1993, Alondra Nelson as a member of an online forum, along with other participants, began to explore the initial terrain and intellectual underpinnings of the concept noting that “AfroFuturism has emerged as a term of convenience to describe analysis, criticism and cultural production that addresses the intersections between race and technology.” Afrofuturism 2.0: The Rise of Astroblackness represents a transition from previous ideas related to afrofuturism that were formed in the late 20th century around issues of the digital divide, music and literature. Afrofuturism 2.0 expands and broadens the discussion around the concept to include religion, architecture, communications, visual art, philosophy and reflects its current growth as an emerging global Pan African creative phenomenon.

Computational Thinking in Education explores the relevance of computational thinking in primary and secondary education. As today’s school-aged students prepare to live and work in a thoroughly digitized world, computer science is providing a wealth of new learning concepts and opportunities across domains. This book offers a comprehensive overview of computational thinking, its history, implications for equity and inclusion, analyses of competencies in practice, and integration into learning, instruction, and assessment through scaffolded teacher education. Computer science education faculty and pre- and in-service educators will find a fresh pedagogical approach to computational thinking in primary and secondary classrooms.

Chapters 5, 12, and 18 of this work are available under the terms of a CC BY-NC-ND 4.0 International open access licence. These parts of the work are free to read on the Oxford Academic platform and offered as a free PDF download from OUP and selected open access locations. Feminist AI: Critical Perspectives on Algorithms, Data and Intelligent Machines is the first volume to bring together leading feminist thinkers from across the disciplines to explore the impact of artificial intelligence (AI) and related data-driven technologies on human society. Recent years have seen both an explosion in AI systems and a corresponding rise in important critical analyses of these technologies. Central to these analyses has been feminist scholarship, which calls upon the AI sector to be accountable for designing and deploying AI in ways that further, rather than undermine, the pursuit of social justice. This book aims to be a touchstone text for AI researchers concerned with the social impact of their systems, as well as theorists, students and educators in the field of gender and technology. It demonstrates the importance of an intersectional understanding of the risks and benefits of AI, approaching feminism as a political project that aims to challenge various interlocking forms of injustice, social inequality and structural relations of power. Feminist AI showcases the vital contributions of feminist scholarship to thinking about AI, data, and intelligent machines as well as laying the groundwork for future feminist scholarship on AI. It brings together scholars from a variety of disciplinary backgrounds, from computer science, software engineering, and medical sciences to political theory, anthropology, and literature. It provides an entry point for scholars of AI, science and technology into the diversity of feminist approaches to AI, and creates a rich dialogue between scholars and practitioners of AI to examine the powerful congruences and generative tensions between different feminist approaches to new and emerging technologies. It features original and essential works specially selected to span multiple generations of practitioners and scholars. These contributors are also attuned to conversations at industry-level around the risks and possibilities that frame the drive to adopt AI. This collection reflects the increasingly blurred divide between the academy, industry and corporate research groups and brings interdisciplinary feminist insights together with postcolonial studies, disability theory, and critical race studies to confront ageism, racism, sexism, ableism, and class-based oppressions in AI.