Tag: Ethical research practice

Call for abstracts for our book on positionality and reflexivity in research!

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 …

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

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 …

Join us at the 2025 International Conference on AI for Higher Education!

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 …

ChatGPT as a qualitative research partner

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 …

The ETHICAL framework for responsible generative AI use

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 …

Whose story is it anyway? The transformative power of pseudonym choice

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 …

Common data analysis methods

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 analysis, phenomenological analysis, …

Common data collection methods

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 technology. Do you …

Participant recruitment strategies in research

The way researchers select their participants impacts the validity and reliability of their findings, making participant recruitment one of the most crucial steps in the research process. But how do researchers go about this task? What strategies do they use to ensure their sample accurately reflects the broader population or the group they are investigating? …

Exploring 10 popular research designs: a quick guide

In research, the design chosen plays a pivotal role in determining how data are collected, analysed, and interpreted. Each design provides a unique lens through which researchers can explore their questions, offering distinct advantages and limitations. Below, I summarise ten common research designs, spanning qualitative, quantitative, and mixed methods approaches. Action Research Action research is …