Stefan Popenici

Senior Higher Education and Training Developer Charles Darwin University

Pre-Conference Workshops: Monday, 2 March 2020

Monday, March 2nd, 2020

5:00 PM Exploring the Practical Application of AI in the Teaching and Learning Environment and Opportunities for the Future

A recent report Artificial Intelligence in the US Education Sector stated that it is expected that AI in US education will grow by 47.5% up to 2021 and emerging technologies in the form of AI and machine learning are on the verge of drastically transforming educational institutes and the way that teaching and learning is delivered. 

With this in mind, this workshop will explore the practical integration of AI and machine learning into the university environment, discussing case study focused examples of current best practice, whilst also looking at future opportunities to transform the ways universities operate and deliver teaching and learning.

The workshops will cover the following learning areas:
  • Exploring case study examples of the integration of AI and machine learning into the university environment
  • Building the business case – return on investment
  • Understanding the tech – exploring the solution provider market
  • Examining stakeholder engagement and change management strategies
  • Utilising AI tools to help develop skills and testing systems
  • Differentiated and personalized learning - Understanding future opportunities to customize curriculum for every student's needs
  • What is achievable today to automate admin tasks?
  • Risks associated to the rise of AI in higher education (e.g. privacy, inequality & discrimination, cost savings vs. quality focus, monopoly of AI systems)

Conference Day One: Tuesday, 3 March 2020

Tuesday, March 3rd, 2020

3:20 PM

How Can Teachers Deliver the Same Engaging Experience to On-line Students as On-Campus Students?

  • How can we improve the on-line learning experience?
  • How can we connect physical learning spaces to on-line lectures?
  • How do we create and interactive and collaborative on-line learning experience?
  • How can we improve the quality of on-line teaching?

Conference Day Two: Wednesday, 4 March 2020

Wednesday, March 4th, 2020

1:20 PM Case Study: Charles Darwin University: Exploring the Impact and Future Potential of Artificial Intelligence on Teaching and Learning in Higher Education

It is expected by 2024 upwards of 47% of learning management tools will be enabled by AI capabilities and AI-enabled e-Learning tools will reach over $6 billion in market size. This session will explore the challenges faced by universities when looking to implement artificial intelligence across teaching, learning and student support.

  • Exploring the potential for AI in teaching and learning
  • Utilising AI systems to tailor and personalise learning for individual students 
  • Examining how AI is opening up new possibilities to rethink the role of the teacher
  • Utilising teacherbots for the administrative part of teaching
  • Rethinking function and pedagogical models  and your future relationship with AI solutions
  • Exploring the use of AI systems to augment tutoring with personal conversational education assistants

Check out the incredible speaker line-up to see who will be joining Stefan.

Download The Latest Agenda