Abstract: In this study, we propose a novel approach to understanding the dynamics of intersectional safe spaces in educational settings through the integration of social network analysis and game-theoretic visualization. Intersectional safe spaces, which aim to create inclusive environments where individuals with diverse identities can freely express themselves, are gaining increasing attention in educational research. However, the mechanisms underlying the formation and maintenance of these safe spaces, as well as their impact on the overall learning experience, remain understudied.
Drawing upon the emerging field of social network analysis, we explore how the interconnections and relationships among individuals within educational communities contribute to the establishment of intersectional safe spaces. We analyze data collected from a diverse group of students within a university context, focusing on their interactions, affiliations, and perceptions of safety within the educational environment. By applying game-theoretic visualization techniques, we aim to provide a novel means of representing and analyzing the complex dynamics at play within these safe spaces.
Our research aims to address the following questions: How do students’ intersecting identities shape their participation and engagement within safe spaces? What are the key factors that contribute to the formation and maintenance of intersectional safe spaces in educational settings? How do these safe spaces impact students’ overall learning experiences and academic outcomes? Through a combination of quantitative and qualitative methods, including surveys, interviews, and social network analysis, we seek to gain a comprehensive understanding of the intersectional dynamics within safe spaces.
The findings from this study will contribute to the existing literature on safe spaces in educational settings by providing insights into the complex networked interactions that shape the formation and maintenance of these spaces. Furthermore, our integration of game-theoretic visualization techniques offers a unique approach to visually representing the intricate dynamics within intersectional safe spaces, allowing for more intuitive and nuanced analysis.
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