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Teaching AI image generation 2024085W

Nov 20, 2024 - Dec 31, 2024

$300 Enrol

Full course description

Date and time

Wednesday 20 November 2024, 4.00 pm to 5.30 pm

Delivery mode

Online – a Zoom link will be provided 24 hours prior to the event


Teacher, Leader, Curriculum Leader


Looking to register more than one person? Contact us at isLearn to arrange a group discount for your school.

Understand the ethical challenges and creative opportunities of Generative AI image models. This session will guide you through the use of powerful, freely accessible image generation models and highlight how teachers and students can use GenAI in their day to day work for designing resources, visualising abstract concepts, and creating compelling images to use in class.

This session is suitable for all educators who wish to learn more about image generation platforms such as Adobe Firefly and Microsoft Copilot.

Key takeaways               

  • greater understanding and navigation of the ethical considerations and challenges of using Generative AI image models, ensuring responsible creation and use
  • strategies to utilise GenAI to design innovative educational resources, visualise abstract concepts, and create engaging visuals that enhance learning experiences in the classroom
  • tools to discover the creative possibilities offered by platforms like Adobe Firefly and Microsoft Copilot, empowering educators and students to bring imaginative ideas to life.

Presenter information

Leon Furze        

Leon Furze is a PhD student, experienced educator, consultant and educational writer. He is author of ‘Practical Reading Strategies’ and 'Practical Writing Strategies', and a VCE assessor. Leon provides professional learning and strategic planning for curriculum, literacy, and digital technologies.

Leon has taught English, Literature and Digital Technologies in Australia and the UK for over fifteen years, and was formerly Director of Learning and Teaching at Monivae College Hamilton. In 2016 he completed his Master of Education at the University of Melbourne, focusing on how Professional Learning can mitigate the risk of burnout in teachers.

His PhD is focused on Artificial Intelligence in education, and particularly the impact large language models like GPT will have on writing.