Educator and researcher
Acknowledgement: This blog post is a shortened version of the presentation we are delivering 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. As the South …
We are seeking expressions of interest for our new book provisionally titled Positionality & Reflexivity in Research (Editors: Sun Yee Yip and Lynette Pretorius from Monash University). Whose research is it? Who owns it? Whose interests does it serve? Who benefits from it? Who has designed its questions and framed its scope? Who will carry …
Continue reading “Call for abstracts for our book on positionality and reflexivity in research!”
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 collection will serve as a …
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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 …
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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 of ChatGPT as an active collaborator …
Continue reading “ChatGPT as a qualitative research partner”
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 as these advancements …
Continue reading “The ETHICAL framework for responsible generative AI use”
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 pseudonyms. It highlighted the power of inviting …
Continue reading “Whose story is it anyway? The transformative power of pseudonym choice”
In an era where generative artificial intelligence (AI) permeates every aspect of our lives, AI literacy in higher education has never been more crucial. In our recent paper, we delve into our own journeys of developing AI literacy, showcasing how educators can seamlessly integrate AI into their teaching practices. Our goal is to cultivate a …
Continue reading “The AI literacy framework for higher education”
I have recently developed and delivered a masterclass about how you can develop your AI literacy in your writing and research practice. This included a series of examples from my own experiences. I thought I’d provide a summary of this masterclass in a blog post so that everyone can benefit from my experiences. Artificial intelligence …
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In today’s data-driven world, there is a lot of talk about making decisions based on so-called objective data. For example, schools and universities use information about the mix of students and staff to shape how they teach and run things. Information such as age, where people live, how much schooling they have had, or their …
