Tag: Academic Integrity
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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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AI Detection in Education is a Dead End
When you live in a research/social media bubble like I do, it’s easy to take certain things for granted. For example, I always overestimate the number of people who are using generative AI regularly in their day to day work. The reality, as of April 2024, is the majority of people within and outside of…
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The AI Assessment Scale: Update and Pilot Study
Before you read on: We have updated the AI Assessment Scale and are now focusing our attention on Version 2. However, we understand that many schools and universities around the world have done great things with the original AI Assessment Scale and we continue to support V1. Make sure to check out both versions to…
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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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Rethinking Assessment for Generative AI: Orals and discussions
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”. In a previous post, I talked about the risks associated…
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Generative AI, plagiarism, and “cheating”
Back in January, I wrote a post called Beyond Cheating, reflecting on the ChatGPT bans that were rolling out across various Australian states and the “cheating” narrative that had accompanied the chatbot since its release. In that earlier post, I argued that banning and blocking generative AI would only contribute to the digital divide –…