Potential Abstract:
Recent advances in artificial intelligence have enabled the analysis of vast amounts of data, opening up new possibilities for understanding and transforming educational systems. This study investigates the intersection of political programs, open data, and transformative representation in education. Through a mixed-methods approach, we examine how the utilization of open data in educational policymaking and implementation can lead to more equitable and effective programs. By analyzing the ways in which data is collected, utilized, and represented, we aim to uncover the potential for political programs to be more responsive to the needs and experiences of diverse student populations. Additionally, this research explores the role of AI in promoting transparency, accountability, and inclusivity in education systems, with a focus on how data-driven decision-making can facilitate transformative change at various levels of the educational landscape.
Potential References:
- Rethinking the digital democratic affordance and its impact on political representation: Toward a new framework
- Transformative democratic politics
- Consolidating RRI and Open Science: understanding the potential for transformative change
- Transforming open data to linked open data using ontologies for information organization in big data environments of the brazilian government: the brazilian database …
- Democratization and education: Conditions and technology for dialogic transformative political education
