Thursday 27 March - Day One

Professor Steven Warburton
Pro Vice-Chancellor (Education Innovation)
University of Newcastle

• Analysing student data trends to identify learning gaps, enabling personalised learning plans that foster higher student engagement
• Implementing data-driven curriculum adjustments to optimise resource allocation, improving overall school efficiency
• Integrating predictive analytics tools to monitor student progress, enhancing early intervention strategies and boosting academic success

Dr Raul V. Rodrigues
Vice President
Woxsen University India

• Establishing clear guidelines for AI integration to ensure teachers and students use generative AI tools responsibly and ethically
• Creating transparency around AI-generated content to enable teachers to track and monitor AI use and maintain academic integrity
• Developing ethical standards to protect student privacy and ensure fairness in an AI-driven learning environment

Danny Liu
Professor (Education Focused) - Educational Innovation Team, Office of the Deputy Vice-Chancellor (Education)
The University of Sydney

• How can we leverage generative AI to develop personalised learning pathways that meet the evolving student needs?
• What role does AI play in offering flexible, on-demand learning experiences, and how can institutions balance scalability with personalisation?
• What are the potential challenges and opportunities in adopting AI-based learning models, and how can they ensure accessibility and quality for a diverse range of learners?

Moderator:

Professor Steven Warburton
Pro Vice-Chancellor (Education Innovation)
University of Newcastle

Panellists:

Professor Nancy Law
Associate Dean (Research), Education Faculty
University of Hong Kong

David Sadler
Deputy Vice-Chancellor Academic
The University of Notre Dame Australia

Professor Michael Blumenstein
Pro Vice-Chancellor (Business Creation and Major Facilities)
UTS

Dr Raul V. Rodrigues
Vice President
Woxsen University India

• Tailoring content to student needs by adjusting lesson complexity in real time, improving student engagement and comprehension
• Aligning curriculum automatically with updated educational standards, saving educators time while ensuring compliance
• Integrating interdisciplinary content based on student data insights, fostering holistic skills development and critical thinking

Kimberley Law
Digital Learning Specialist
International Grammar School

• How can generative AI address resource limitations and provide students with access to high-quality learning materials?
• How can AI-driven personalised learning support all students even with limited educator-to-student ratios?
• How can educators overcome infrastructure, technology, and economic barriers to implementing AI?
• What role should government, private partnerships, and educational institutions play in ensuring equitable access to AI tools?

Moderator:

Professor Steven Warburton
Pro Vice-Chancellor (Education Innovation)
University of Newcastle

Panellists:

Miriam Scott
Education Consultant Generative AI
Association of Independent Schools NSW

Jenni Butler 
Chief Academic Officer
TAFE Queensland

Olivia Cox 
Dean of Pedagogy
John Paul College

Georgia Wignall
Senior Education Officer - Pedagogy and Curriculum
QLD Department of Education

Melissa Silk
Chief Academic Officer
Institute of Creative Arts & Technology (ICAT)

• Revolutionising personalisation by adapting curricula, content, and assessments in real-time, based on each student’s needs, to improve academic outcomes
• Integrating AI-powered tools for collaboration and creativity to encourage critical thinking and problem-solving skills
• Anticipating future trends in generative AI for education, including virtual classrooms, AI-driven teaching assistants, and immersive learning environments to enable dynamic learning experiences

Dr Bek Duyckers
Deputy Principal
Coomera Anglican College

Darryl Hall
IT Services Manager
Coomera Anglican College

Interactive roundtable discussions offer attendees the opportunity to select topics that best match their interests, allowing them to take an active role in shaping their learning experience. Engage in meaningful discussions, gain practical strategies, and explore solutions to challenges faced by educators and leaders in the education sector.

You can choose 4 of the following sessions, with each roundtable running concurrently across three time slots:

• 1st round:   15:00 – 15:30
• 2nd round:  15:30 – 16:00
• 3rd round:   16:00 – 16:30

Roundtable 1: Generative AI for special education: Enhancing learning for students with disabilities

Facilitator:

Dr Kathleen Tait
Associate Professor – Macquarie School of Education
Macquarie University

Roundtable 2: Generative AI-driven professional development: Empowering teachers with continuous learning

Facilitator:

Kellie Stemp
Director of Learning and Pedagogy
Edmund Rice Education Australia Flexible Schools

Roundtable 3: How can AI better link young people in school or tertiary education with industry or workplace experiences to enable them to be more 'worker ready'?

Facilitator:

Marie Previte 
Skills and Training
Edmund Rice Education Australia Flexible Schools

Roundtable 4: Generative AI in assessments: Rethinking exams and evaluations

Facilitator:

Dr Raul V. Rodrigues
Vice President
Woxsen University India

Roundtable 5: Integrating generative AI into modern curriculum design: A future focused approach

Facilitator:

Dinesh Poorun
Co-Founder
Rapid Ai4 Learning

Roundtable 6: Integrating generative AI into K-12 curriculum design – preparing students for an AI-enhanced future

Facilitator:

Steve Uscinski
Deputy Head – Teacher and Learning
Brisbane Grammar School

Roundtable 7: Government policies for generative AI in education: navigating regulations and emerging requirements

Facilitator

Associate Professor Sheridan Gentili
Director – Teaching Innovation Unit
University of South Australia