Post by Lynette Pretorius. I recently presented a keynote on AI in literature search and discovery at an institutional seminar. Many people have asked me to share the presentation, so I thought I’d write this blog post to make it available to all. I would like to start by getting you to think about how … Read more
Post by Michael J. Henderson. Featured image. The method should survive the model: a research pathway can remain stable while particular AI components are inspected, replaced and governed by the researcher. When academics first begin exploring generative AI, one of the most understandable questions is: Which AI should I use? ChatGPT? Claude? Gemini? A locally … Read more
Post by Lynette Pretorius and Douglas Eacersall. A very warm welcome to all our new subscribers! 🎉 It is inspiring to see so many educators and researchers dedicated to advancing AI literacy. To help you begin your journey, we have gathered our most popular and impactful resources below. These tools are designed to foster both … Read more
Hi everyone. Another one of the recordings from the AI4HE conference has been made available on YouTube. You can watch it below or by clicking this link. In this presentation, Dr Lynette Pretorius and Chris Pretorius explore the implications of integrating generative AI, specifically ChatGPT, into qualitative data analysis. Their findings showcase that ChatGPT can … Read more
Hi everyone. We hope you enjoyed the AI4HE conference last week! We are currently busy deciding on the best approach to share all the session presentations, but you can already access the recording of the Thursday keynote (the AI Literacy Masterclass). It is available below or by clicking this link.
Republished from lynette.pretorius.com. Original post by Lynette Pretorius and Redi Pudyanti. This blog post extends our presentation at the Higher Education Research and Development Society of Australasia (HERDSA) Conference 2025. We acknowledge the other co-authors of our paper, as it was a truly collaborative project: Huy-Hoang Huynh, Ziqi Li, Abdul Qawi Noori, and Zhiheng Zhou. … Read more
Republished from lynette.pretorius.com. Original post by Lynette Pretorius. I didn’t set out to write an essay about academic identity, generative AI, and publishing politics. But, as with so many qualitative journeys, the story found me first. What started as a playful experiment with image generation soon became a critical turning point in how I understand … Read more
Post by Lynette Pretorius and Douglas Eacersall. Note: This call for chapters is now closed. Are you exploring how generative AI is transforming the research landscape? Have you developed innovative approaches, ethical insights, or practical applications regarding AI in research? If so, we invite you to contribute a chapter to our forthcoming open access book: … Read more
You are warmly invited to participate in the International Conference on AI for Higher Education (AI4HE). Facilitated by the Human-AI Collaborative Knowledgebase for Education and Research (HACKER) and the AI Literacy Lab, the conference provides an opportunity to share knowledge of AI in Higher Education, network with peers and participate in practical workshops. The conference … Read more
Republished from lynette.pretorius.com. Original post by Lynette Pretorius and Chris Pretorius. The rise of generative AI has sparked new conversations about its role in academic research. While generative AI tools like ChatGPT have proven effective for summarisation, pattern recognition, and text classification, their potential in deep, interpretive qualitative data analysis remains underexplored. In our recent … Read more