Justification of metrics.
There’s a famous saying that we learn in three steps: when we are taught, when we study on our own, and then, the final crucial step: when we teach others. Ever since starting this degree, I found myself sharing some of the knowledge gained with friends and family. This data could show the real circle of people that through me are reached indirectly by the university (Brown&Adler 2008). Exchanging knowledge is also essential to my relationships, because this is largely how I connect to other people due to the ASD.
I specified the metrics to the current courses, ASD (which I am researching for this course), and other (which can include extra reading I did on the general topic of digital education, or information from the previous semester).
I focused on the four conversations I regularly have, since dialogue is central to exchanging knowledge in our culture (Friesen 2019). Best friend (Jo) and both groups of friends I contact on Whatsapp exclusively. My husband is the only person I talk to extensively in person.
Initially I planned to track it daily, but decided against this. Context, such as time, can put data in perspective (McCandles 2010). However, too many variables can also obscure data (Healy 2019). In this case, it seemed unnecessary to split it by weekdays. It was far more interesting to see what knowledge I pass onto whom.
Interestingly, flipping the format (ring for people and dot for knowledge) would bring the focus to the information, rather than the person.
Choice of design.
I wanted to experiment with round shapes I saw in many of my classmates’ blogs and McCandles (McCandles 2012, below in green). I also wanted to have evenly shaped, individual elements, inspired by the below Dear Data visualisation. I consistently chose neon colours for the subjects, but I was not as preoccupied with the tones this time.
I really enjoyed the simplicity of this presentation.
Brown, J. S. Adler, R. P. (2008) Minds on Fire. Educause Review
Friesen, N. 2019. “The technological imaginary in education, or: Myth and enlightenment in ‘Personalised Learning.” In M. Stocchetti (Ed.), The digital age and its discontents. University of Helsinki Press.
Healy, K. (2019) Data Visualisation. A practical introduction. Princeton Press
Lupi, G. Posavec, S. (2016) Dear Data. Princeton Architectural Press
McCandless, D. (2010) The beauty of data visualisation.
McCandless, D. (2012) Information is Beautiful. HarperCollins Publishers