Futureproofing Enrolment Planning (Including the Accord and the Budget) Using Machine Learning and AI

Hosted by AAIR, convened by:

• Alex Sieniarski, Director, Analytics, Planning and Performance at The University of Notre Dame Australia, and AAIR Load Planning & Management SIG Chair

Machine learning (ML) and artificial intelligence (AI) are revolutionising the landscape of enrolment planning in higher education. These technologies harness vast amounts of data to provide unprecedented insights and predictive capabilities, enabling institutions to make more informed decisions. In this session, we will delve into how the University of Notre Dame leverages ML and AI to enhance enrolment strategies, ensuring the University is resilient and adaptive to future challenges. Topics for discussion will include:

• Innovative AI-driven techniques for predicting student enrolment trends
• The integration of the Accord and the budget within enrolment planning frameworks
• Case studies illustrating successful implementation of ML models
• Addressing ethical considerations, data governance, and privacy concerns in AI applications
• Strategies for overcoming common obstacles and maximising the effectiveness of AI tools in enrolment planning.

Join us as we discover how AI and ML are shaping the future of enrolment planning, making it more robust, accurate, and responsive to the evolving educational landscape.

Pricing:

• Members: FREE
• Non-members: $52.77 (AUD$45 + GST and booking fee)