Explore ways to scale AI responsibly, particularly in the context of creating the next-gen "Hybrid AI Campus" for digital-native learners. This workshop provides a flexible framework for integrating AI workloads across various campus environments, focusing on principles of governance, privacy, and responsible AI use. Participants will connect broader institutional goals to potential use cases tailored for digital-native learners, such as enhancing personalised learning experiences, optimising campus operations and improving research outputs.
We will discuss how to determine the right mix of computing resources and best practice data management, latency and security. By the end of the session, participants will leave with a practical plan that balances potential impacts with associated risks, including strategies for measuring student outcomes and ensuring equity in access to AI resources.
This workshop is designed for decision-makers who want to harmonise their vision for a Hybrid AI Campus with effective governance frameworks and metrics that can garner support from leadership. This approach ensures a learning environment that meets the needs of digital-native learners while being adaptable to their unique institutional contexts.
In this workshop, participants will:
Adapting instructional materials and create individualised learning paths
Breaking down analytics to identify learning patterns and predict academic challenges
Exploring how AI can complement traditional teaching approaches and provide actionable insights
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