• How does The Australian Curriculum provide essential and underpinning knowledge of Artificial intelligence (AI): what AI is, how it works and how to be responsible and ethical designers and users of AI systems?
• What are the learning area connections?
• How might we develop AI literacy?

• AI is reshaping what counts as evidence of learning, shifting focus from output to thinking
• Students must understand what AI is doing, where it helps, and where it misleads
• Schools must prioritise capability, judgement, and ownership to ensure true job readiness

• Reduce ILP workload through AI‑supported goal writing, evidence capture, and reporting
• Personalise learning at scale with adaptive AI tutors while keeping teachers in control
• Evaluate AI platforms for inclusion, accessibility, and transparency

• How Kilvington Grammar built and integrated subject‑specific AI chatbots directly into the learning management system
• Insights from classroom use across Year 6 to VCE, where chatbots provided targeted, point‑of‑need feedback that effectively “cloned” teacher expertise
• What the pilot revealed about teacher workflow, student engagement, and managing AI tools at scale
• Practical lessons and recommendations for schools looking to create their own AI‑supported learning ecosystem

Practical strategies for integrating AI into teaching

• Moving away from seeing AI-generated content as a form of plagiarism
• Structurally redesigning assessment practices to verify human thinking (even when students are using AI)
• Giving teachers the tools and principles to redesign their assessments to verify real understanding in the AI era.

• The Monash Tech School: An overview of our school and how we facilitate industry-aligned STEM programs for our partner schools.
• AI Vision Systems in Practice: How students use HuskyLens 2 in design sprints to understand AI vision systems and prototype solutions for real-world problems.
• AI Chatbots to Build Empathy and Agency: How students use AI chatbots to inform project decisions and independently navigate challenges.
• Safe Implementation: How we select and use AI tools that are secure, compliant, and easy to manage in our tech school environment.

• How we designed practical governance and safeguards that protect students and staff
• What professional learning looks like for both teaching and professional services staff; beyond one‑off PD
• Our age‑appropriate, explicit student education process around ethical AI use
• How we’ve supported parents through clear communication, shared language, and education rather than fear

• Understanding what AI literacy means for students, teachers, and school leaders
• Exploring how AI is changing assessment, feedback, and learning design
• Supporting teachers to use AI safely, ethically, and confidently in daily practice
• Building a whole-school approach to AI capability, responsible use, and future readiness

• Examine current challenges in creative higher education amid rapidly evolving, AI-driven industry expectations.
• Explore opportunities offered by AI-simulated learning to address skills gaps and support authentic, industry-aligned experiences.
• Showcase practical AI-simulated pedagogies and classroom applications in creative disciplines.
• Discuss the critical role of AI literacy in shaping the effectiveness of AI-simulated pedagogies for students and educators.

• How AI tools can enhance collaboration, creativity and problem‑solving by enabling students to co‑create, iterate and explore ideas in new ways.
• Practical strategies for integrating digital technologies to design richer, more interactive learning experiences that amplify student voice and agency.