Potential Abstract: In the realm of educational technology, the notion of safe spaces has gained significant attention as a means to promote inclusivity and provide a supportive environment for students. As educational institutions increasingly rely on cloud operations for various functions, the need to ensure the security and privacy of these digital spaces becomes crucial. This research investigates the intersection of discrete safe spaces and cloud operations in the educational context through a political inference lens. By employing a theoretical framework that considers power dynamics and social structures, we aim to uncover how different stakeholders shape and navigate the digital spaces within educational cloud operations.
Through a mixed-methods approach encompassing interviews, surveys, and data analysis, we explore the implementation of discrete safe spaces within educational cloud environments and the implications for student learning experiences. Our findings reveal the complexities involved in balancing the technical requirements of cloud operations with the socio-political considerations of creating safe and inclusive digital spaces for students. Additionally, we highlight the role of educators, administrators, and policymakers in influencing the design and governance of these spaces, shedding light on the power dynamics at play in educational technology adoption.
This research contributes to the broader conversation on the ethical and social implications of technology in education, offering insights into how educational institutions can navigate the complexities of ensuring both digital security and inclusive learning environments. By focusing on the intersection of discrete safe spaces, cloud operations, and political inference, this study provides a nuanced understanding of the challenges and opportunities in leveraging technology to create safer and more equitable educational spaces.
Potential References:
- Safe spaces and safe places: Unpacking technology-mediated experiences of safety and harm with transgender people
- Mondrian: On-Device High-Performance Video Analytics with Compressive Packed Inference
- A trust-evaluation metric for cloud applications
- Cloud geographies: Computing, data, sovereignty
- User centric cloud service model in public sectors: Policy implications of cloud services
