Data visualisation to me, before the course, was the big unknown. I only came across the theme of Big Data in the IDEL course and found it daunting and complex yet fascinating and vitally important for what lies ahead in education.Continue reading “Reflection on the entire data visualisation task”
Reflecting these past three weeks, I noticed that the data visualisation task gave me much space to explore and examine different ways of ‚learning’ with data. For the first time since the IDEL course, I felt the liberty of expressing my ideas freely, which was a bit absent from other courses.Continue reading “Reflections on Block 1 ‘Learning’ with Data”
For this week’s data visualisation, I tracked how often I unlock one of my devices from Monday to Thursday and if I use face, touch, or passcode identification.Continue reading “Data Visualisation: My Access to Personal Devices”
For the past four days, I focused on my heart rate. This is something my fitness watch does for me, but usually, I don’t take much notice of it. However, from Sunday to Wednesday, I wrote down my average heart rate for each hour of the day.Continue reading “Data Visualisation: My Heart Rate”
Taking notes on my commute offered me more insight than I would have guessed before!
For my visualisation, I decided to focus on my morning and afternoon commute to and from school (my workplace), and therefore I labelled the time in between 10-16 with “my school day “. I used the 24 hour-notation for my time scale because it is common here in Switzerland, especially on train and bus timetables. The scale begins at 6 o’clock and ends at 19 o’clock because I always commuted within these times.Continue reading “Data Visualisation: My Commute”
I felt the need for a short entry since it’s been a learning curve and I experienced the limits of collecting data today. Originally I planned to collect data on questions in my school environment.Continue reading “Trial and Error”