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
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
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
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
Republished from lynette.pretorius.com. Original post by Lynette Pretorius. The advent of generative artificial intelligence (GenAI) has opened up transformative possibilities in academic research. Tools like ChatGPT, Gemini, and Claude hold the potential to help with idea and content development, structure and research design, literature review and synthesis, data management and analysis, as well as proofreading … Read more