Educator and researcher
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 me not knowing …
Coding is an essential step in transforming raw and often messy data into structured insights that reveal the nuanced layers of human experiences and perceptions. In this post, I will explore the basics of data coding. It is important to note that there is no one “correct” way to code, with different researchers preferring different …
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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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 …
Autoethnography has become an increasingly popular research methodology, particularly within the humanities and social sciences. I use it regularly because of its emphasis on personal experiences, reflexivity, and storytelling which allows for a deeper exploration of complex experiences and societies. So what is autoethnography? The name autoethnography comes from three core aspects: self, culture, and …
Continue reading “Autoethnography: What is it and how do you do it?”
Credit: Text has been republished from an article in Monash News https://www.monash.edu/news/articles/how-the-pandemic-shaped-academic-identity-stories-of-resilience-and-struggle A new book shares the stories of PhD students, early-career researchers, and established academics during the COVID-19 pandemic to shed light on the struggles faced by those in the industry. The COVID-19 pandemic impacted every aspect of our lives, and academia was no exception. …
Continue reading “How the pandemic shaped academic identity: Stories of resilience and struggle”
