Tag: AI in education
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Ethics, assessment, and the (near) future of Generative AI
This post provides an update on the AISNSW ICT Management and Leadership conference, including discussions and presentations on various topics related to technology in education. Day one focused on AI ethics and its implications, day two on AI in assessments, and day three featured a closing keynote on the future of generative AI. The post…
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Don’t use GenAI to grade student work
As a former secondary English teacher, senior examination assessor, and lecturer for initial teacher education, I understand the allure of using Generative AI (GenAI) for grading student work. We’re all familiar with the workload of assessment and reporting. The idea of a tool that could save time and streamline the grading process is undeniably appealing.…
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GenAI Strategy: Evaluate and Communicate
This is the fifth installment in a series on generative AI strategy for educators. The focus is on evaluating the impact of AI on education, synthesising feedback with AI tools, and updating the faculty’s vision accordingly. The strategy emphasises ethical and responsible AI integration, continuous evaluation, and sharing findings with the broader community.
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GenAI Strategy: Update your Assessments
This series addresses developing generative AI strategy in education. The AI Assessment Scale, covering No AI to Full AI, is introduced for integrating AI responsibly. An audit tool is proposed to align existing assessments with the scale, preparing for potential adaptations. A pilot implementation approach is recommended before full adoption, stressing the importance of managing…
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GenAI Strategy: Bullets then Cannonballs
This post is part of a series exploring how faculty leaders can develop generative artificial intelligence strategies specific to disciplines in K-12 and higher education. The first post gave an overview of the strategic planning process. The next post followed up by encouraging you to attack your assessments. If you haven’t already, you should read…
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GenAI Strategy: Attack Your Assessments
This post is part of a series exploring how faculty and middle leaders can begin to think strategically about Generative AI. In the previous post, I gave an overview of a six-step strategy, beginning with establishing a clear vision. In this post, I’m going to go deeper into attacking your assessments. UPDATE: Less than 24…
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GenAI Strategy for Faculty Leaders
When I work with K-12 schools, the approach to generative artificial intelligence (AI) guidelines generally begins with an audit of current policy documents that relate to digital technologies, such as user agreements, cyber safety policies, and communications. The goal is to identify areas where GenAI needs to be taken into account, without necessarily writing entirely…
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What happens when Generative AI disappears into the woodwork?
As part of my PhD studies, I read and write a lot of stuff that doesn’t really fit into my research, but which I find interesting anyway. I’m categorising these “spare parts” on my blog, and if you’re interested in following them you’ll find them all here. At the moment we’re still in the thick…
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Rethinking Assessment for Generative AI: Beyond the Essay
This post is part of a series on rethinking assessment in light of generative AI. The posts draw on research and resources from K-12 and tertiary to suggest ways that educators can design engaging, compelling assessments which shift the narrative away from GAI and “cheating”. Click here for the previous post on oral assessments. There…
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Hands on with chat + search: connecting generative AI to the internet
So far in this series I’ve taken a look at image generation with Adobe’s Firefly, audio generation with tools like MusicLM and Stable audio, and voice generation via ElevenLabs. In this post, I’m going back to where this wave of AI hype began with ChatGPT and text generation. However, plenty has changed since my early…