Author: Leon Furze
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AI Principles to Practical Strategies: How Schools Can Apply the National AI Framework
The draft schools AI framework for education is currently open for feedback, alongside a House Standing Committee parliamentary inquiry into Generative Artificial Intelligence in education. The draft framework represents an important step for schools trying to adapt to the challenges and opportunities of Generative AI. I’ve been working with schools on developing their own…
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Teaching Writing with Generative AI
This post is based on a presentation I ran recently at the AATE conference. It takes the writing cycle approach from our book ‘Practical Writing Strategies‘ and applies Generative AI at various stages. One of the most pressing concerns at the recent Australian Association for the Teaching of English (AATE) conference was the implications of…
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Teaching AI Ethics: Power
This is the final post in a nine-part series exploring AI ethics, originally outlined in this post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. Here’s a full list of the rest of the series: This post on Power has…
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Secondary School Assessment and Artificial Intelligence
When ChatGPT landed on our doorsteps in November 2022, it largely slipped beneath the education radar. By the time term 1 2023 rolled around, however, it’s fair to say that the situation had changed. Most states in Australia banned the technology in Department schools, and those bans remained in place for several months. Despite the…
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Creating Texts: Stimulus Materials
Over the past few months we’ve started to see more supporting materials make their way to the VCAA Advice for Teachers pages for the 2024 English and EAL Study Design. One of the key additions has been the “stimulus materials” for Unit 3 Outcome 2: Creating Texts. The examples on the VCAA website – three…
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Teaching AI Ethics: Human Labour
This is the eighth post in a series exploring the nine areas of AI ethics outlined in this original post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. For the previous post on affect recognition, click here. When people think…
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The AI Iceberg: Understanding ChatGPT
Analogies are useful for understanding complex ideas, and there are plenty of complexities for educators trying to wrap their heads around ChatGPT. In this post, I’ll try to explain some of the features of the chatbot and the model it’s built on top of. I’m deliberately avoiding any kind of analogy that represents the AI…
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Teaching AI Ethics: Affect Recognition
This is the seventh post in a series exploring the nine areas of AI ethics outlined in this original post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. For the previous post on datafication, click here. As artificial intelligence continues…
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Teaching AI Ethics: Intermediate Series
The Teaching AI Ethics series is a collection of articles on the many ethical concerns of Artificial Intelligence as a technology and an industry. In this series I offer practical advice on how to teach AI through an ethical lens, including discussing AI ethics from the perspective of multiple subject disciplines. When I wrote the…
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The AI Assessment Scale: From no AI to full AI
AI chatbots like OpenAI’s ChatGPT have kicked the hornet’s nest in education. From articles declaring the “end of everything” (writing, the English classroom, the entire education system…) to claims that AI will revolutionise education, we’ve seen the full spectrum of hype. What we’re yet to see much of, however, are practical solutions for dealing with…