Call for chapters for our new open access book on AI!

Author: The AI Literacy Lab. 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: Generative AI-Enhanced Research: Ethical, Practical, and Transformative Approaches. This edited
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Join us at the 2025 International Conference on AI for Higher Education!

Author: The AI Literacy Lab. 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
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ChatGPT as a qualitative research partner

Authors: 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 study, we examine the integration
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The ETHICAL framework for responsible generative AI use

Author: 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 and editing. However, as enticing
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Whose story is it anyway? The transformative power of pseudonym choice

Author: Lynette Pretorius and Sweta Vijaykumar Patel. As qualitative researchers, we’ve often used pseudonyms in our work to protect the identities of participants. It’s a standard practice and one that’s meant to safeguard confidentiality while ensuring their stories remain authentic. But recently, we conducted a study that made us pause and rethink how we approach
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Psychological capital in the PhD

Author: Lynette Pretorius. Hi there! Have you ever wondered what it really takes to thrive during a PhD? For over a decade, I’ve worked closely with graduate students, helping them navigate the academic and emotional hurdles of this journey. Along the way, I’ve seen a lot—students overwhelmed by isolation, stress, and uncertainty. Many come to
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Common data analysis methods

Author: Lynette Pretorius. Unlocking meaningful insights from data starts with selecting the right analysis strategy. Each approach to data analysis offers unique pathways for understanding complex information, yet choosing the best fit depends on knowing what each method can reveal. In this post, I explore five key strategies: statistical analysis, content or document analysis, thematic
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Common data collection methods

Author: Lynette Pretorius. In research, data collection is the cornerstone of meaningful analysis. Whether you’re conducting a small-scale qualitative study or a large quantitative survey, the method you use determines the depth, breadth, and reliability of your findings. Imagine you’re trying to understand how people form habits such as saving money, staying fit, or using
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