After using Zettlr for a couple of years, I have noticed a fundamental change in how I use research literature in my research and writing. In this blog post, I reflect on this development and describe how it happened.
How do you recognize good qualitative data? One of the main challenges newcomers to qualitative research face is the fact that everything can be used as data. I liked this book a lot because it provides some simple but effective answers to the question above. It is a short read and it comes from authors who know what they are talking about.
In 2017 Elena and I ran the IT3010 course at NTNU on the topic of qualitative research methods in computer science. This was the first time we had the course run as a realistic run-up to a research conference with papers presented by students. The last deliverable in the course was a reflection report where each student was asked to reflect on the who process. Here I want to summarize some tips to students after having graded this last deliverable.
In this blog I describe how I prefer to cooperate with master and project students that I supervise. These are points that I have collected based on earlier supervision. The goal is to get an A grade for my students! This blog post is under continuous development. Please provide your feedback and suggestions in the comment field below or directly to me. Thanks!