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”Reflections on Block 3 ‘Governing’ with Data
I found much inspiration for my data collections in my personal and professional life, and I enjoyed the tasks of gathering information and visualising each collection.
Continue reading “Reflections on Block 3 ‘Governing’ with Data”Data visualisation: Technology in my everyday teaching
In my last data collection for this course, I focused on technology in my classroom. For a bit of context: The school I’m working in was the first primary school in Switzerland, which equipped every student with an iPad.
Continue reading “Data visualisation: Technology in my everyday teaching”Data visualisation: Languages of my students and data flaws
The inspiration for this week’s data collection came from a chapter on multilingualism I read in ‚The Infrastructure of Accountability: Data use and the transformation of American education’ by Anagnostopoulos et al. (2013). German, French, Italian and Romansh are the four national languages, and multilingualism is close-knit with Switzerland’s history and culture. In the past decades, many more non-national languages became widely spoken, especially due to immigration.
Continue reading “Data visualisation: Languages of my students and data flaws”Data visualisation: Four days in Minecraft
While I read around the topic of digital education governance and data mining, I took it quite literally for this weeks’ data collection. With time on my hands and our school still on Spring break, I turned to my favourite video game ever since we got introduced to it during the IDEL course: Minecraft!
Continue reading “Data visualisation: Four days in Minecraft”Reflections on Block 2 ‘Teaching’ with Data
My data tracking and visualisation over the past three weeks are affected by my primary school teaching and my interests in various pedagogy fields. Bloom’s Taxonomy and Gardners MI’s hierarchical structure (week 6 and 7) offers a framework to analyse lessons and tasks, yet the challenge lies in distinguishing between the levels and MIs within combined activities.
Continue reading “Reflections on Block 2 ‘Teaching’ with Data”Data visualisation: My week of self-care
This week, due to various circumstances, was my first week off work since October. For some alone time, I booked an apartment here in Switzerland and fully indulged in four days of self-care before taking up any studying or working again!
Continue reading “Data visualisation: My week of self-care”Data visualisation: Learning objectives and Gardner’s MI
This week is the last week of school for me, before the Winter break (I know they couldn’t have scheduled that later…), and I took a closer look at the learning objectives I set for this week.
Continue reading “Data visualisation: Learning objectives and Gardner’s MI”Data visualisation: My Teaching and Bloom’s Taxonomy
This week the meaning of my visualisation can be taken quite literally: An area for growth.
Continue reading “Data visualisation: My Teaching and Bloom’s Taxonomy”Reflections on Block 1 ‘Learning’ with Data
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”