case studies and scenarios to support research into good governance of AI for education
Aligning Governance Models with the AIGE Network’s Mission
Governance in education and technology can take many forms, including regulatory governance (rule-based oversight), participatory governance (inclusion of multiple voices in decision-making), adaptive governance (responsive and flexible approaches to uncertainty), and network governance (collaborative coordination across institutions and sectors).
The AI Governance in Education (AIGE) Network aligns most closely with network and adaptive governance. By fostering international collaboration and knowledge exchange, AIGE exemplifies network governance through its commitment to producing resources informed by data collected through conversations with diverse intenational scholars across institutional, disciplinary, and geographic boundaries. Its adaptive qualities are reflected in the development and dissemination of case studies that illustrate diverse global perspectives on AI use in education—each tailored to real-world scenarios, policy gaps, and contextual nuances.
These case studies are not only meant to inform curriculum development and research practices, but also to be widely shared, enabling broad uptake and critical reflection across educational systems. In doing so, AIGE advances a governance model that is both inclusive and dynamic—anchored in practice, grounded in diversity, and oriented toward future-readiness.
The AI Governance in Education (AIGE) Network aligns most closely with network and adaptive governance. By fostering international collaboration and knowledge exchange, AIGE exemplifies network governance through its commitment to producing resources informed by data collected through conversations with diverse intenational scholars across institutional, disciplinary, and geographic boundaries. Its adaptive qualities are reflected in the development and dissemination of case studies that illustrate diverse global perspectives on AI use in education—each tailored to real-world scenarios, policy gaps, and contextual nuances.
These case studies are not only meant to inform curriculum development and research practices, but also to be widely shared, enabling broad uptake and critical reflection across educational systems. In doing so, AIGE advances a governance model that is both inclusive and dynamic—anchored in practice, grounded in diversity, and oriented toward future-readiness.
about the case studies and scenarios
Case studies are essential for research about AI governance in education because they provide context-rich examples that connect theoretical principles to practical applications. By examining specific scenarios, researchers can explore the challenges and opportunities presented by AI in educational settings, fostering critical thinking, ethical reasoning, and problem-solving skills. These real-world examples make abstract concepts tangible, allowing teacher-researchers, learners (HDR students for example) and other stakeholders to engage deeply with the complexities of AI governance and its implications for education.
The AI Governance in Education Network (AIGE) at Victoria University is designed to offer flexible and modular resources that can be integrated into existing educational programs, support broader thematic modules, or serve as the foundation for new courses focused on the governance and ethical implications of AI in education. Contributors to AIGE case studies do not need to be affiliated with Victoria University, reflecting the network’s commitment to inclusivity and collaboration. This interdisciplinary and international approach ensures a comprehensive exploration of topics, in diverse contexts making the resources accessible and engaging for a wide range of students, educators and policy makers.
The AI Governance in Education Network (AIGE) at Victoria University is designed to offer flexible and modular resources that can be integrated into existing educational programs, support broader thematic modules, or serve as the foundation for new courses focused on the governance and ethical implications of AI in education. Contributors to AIGE case studies do not need to be affiliated with Victoria University, reflecting the network’s commitment to inclusivity and collaboration. This interdisciplinary and international approach ensures a comprehensive exploration of topics, in diverse contexts making the resources accessible and engaging for a wide range of students, educators and policy makers.