• The need for an anticipatory approach to AGI in education, rather than a reactive one.
• Emerging AI technologies trending towards AGI and their potential impact on teaching, learning, and administration.
• The role of autonomous AGI agents in education, including learning analytics, student support, and research.
• Implications for educational values, teacher roles, and the evolving purpose of education.

• How HSC students use bespoke GPTs based on NESA documentation and teaching best practices to prepare for their exams.
• A father and son developed GPTs to support students in their HSC studies.
• Explore use cases of AI agents, from building study plans to marking self-assessments.
• How AI agents built on a reliable knowledge base can cater to diverse student needs and support independent learning.

• Exploring how AI-driven tools can provide personalised learning experiences for students with diverse needs.
• Enhancing accessibility through AI technologies for students with disabilities (e.g., speech-to-text, adaptive learning platforms).
• AI’s role in supporting teachers with data-driven insights to tailor instruction and interventions.
• Overcoming challenges in implementing AI solutions to ensure equity in access to inclusive education.

• As AI adoption accelerates, educators are inundated with new tools, making it challenging to stay ahead.
• EP’s two-year journey in helping teachers navigate these challenges and define AI efficacy in education.
• Cutting through the hype is crucial to uncover real student benefits.
• Focus is on transitioning from exploration to proven impact through testing, validation, and shared evidence to drive informed decision-making.

• The differences between what schools are saying about AI and what students know and are doing.
• Risks and opportunities of students using AI.
• Strategies to support students as they explore AI within and beyond the school gates.

• How AI is shaping skills development and workforce readiness.
• The role of AI-powered micro credentials and personalised learning.
• Ethical challenges, bias, and the future of AI-driven education.

• Practical steps to create and deploy a GPT tailored to specific educational needs.
• How custom GPTs can enhance teaching, learning, and administrative tasks.
• The fundamentals of building and training your own GPT models.

• AI’s Role in Accessibility – Exploring how AI-powered tools like speech-to-text, adaptive learning, and emotion recognition are transforming education for students with disabilities and autism.
• Real-World Applications & Case Studies – Showcasing successful implementations of AI-driven education technologies that improve engagement, communication, and personalized learning.
• Challenges & Future of AI in Inclusive Education – Addressing ethical concerns, AI bias, and the
  importance of human-AI collaboration in special education.

• How to move from curious experimentation to the purposeful creation of AI tools that empower communities.
• Insights into balancing rapid innovation with quality, emphasising how thoughtful guardrails ensure tools remain safe, seamless, supportive, and superior.
• Highlighting real-world applications—including pastoral record-keeping systems that foster meaningful communication, translators that unite diverse communities, targeted feedback tools, and adaptive AI tutors that enhance student learning.
• How designing transparent and trustable AI today builds resilience for tomorrow’s challenges and how AI can deeply enrich our work, our communities, and our future.

Key findings and trends from the Australian Parents Council survey on AI in education.

• The evolving AI curriculum in Australia and its role in preparing students for an AI-driven future.
• Key initiatives, challenges, and the importance of AI literacy in education.
• Best practices and strategies for integrating AI into school curricula.

• Bring a consistent, school-wide assessment response to AI that brings clarity to students, teachers and parents.
• A consistent approach can include assessments that both respond to the challenges of AI.
• Introduce AI-powered assessments that support students thinking more about what they are learning… not less.