Educator and researcher
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, …
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 …
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? …
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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 …
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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 …
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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 …
Credit: This blog post is an adapted form of a recent paper I wrote. Artificial intelligence (AI) has been present in society for several years – think, for example, of computer grammar-checking software, autocorrect on your phone, or GPS apps. Recently, however, there has been a significant advancement in AI research with the development of generative …
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Credit: This blog post is an adapted form of a case study I wrote for Advance HE. Universities have been cracking down on cheating and all sorts of dishonest academic behaviour recently. They’ve rolled out a bunch of strict rules related to academic integrity and use fancy software to keep an eye out for academic …
Continue reading “Improving students’ understanding by building a culture of academic integrity”
