Week1 Visualization

The Legend of the visualization.

My data visualization for Week 1.

The process of collecting data for my visualization this week was an interesting one. At first, I was uncertain as to what element of my learning to capture, but as I pondered and engaged with the readings I wanted to have a better understanding of my learning style and mechanism. I considered the two main elements of my daily activities namely: Academic and Work Engagements.

I used sticky notes to record all the times I was engaged in either a work or an academic engagement. As illustrated in the legend, I recorded data on the types of activities I was engaged in, the modality of the activity, the time of the day that activity occurred, and space I was in during the activity.

After creating my data visualization I made a couple of observations about my learning style and mode of working. In terms of learning space, I realized that over 80% of my work engagements took place in the home study however, my academic engagements were not confined to any one particular space but I was able to learn in a flexible and variety of spaces. In terms of learning style, I noticed that even though most of the course materials were text-based articles, I still opted for more visual materials or in some cases the audio versions of the articles. Another important point I noticed from the visualization was that I was very comfortable working during late nights on my academic engagements and the morning and afternoon hours were mostly dedicated to work based engagements.

Despite these intriguing revelations, I also realized that there were other metrics I was unable to measure based on how the data was collected or what data was actually collected. Hence, I would be more deliberate during my date collection process in the coming weeks.

Kaynak : antalya haber

8 replies on “Week1 Visualization”

Hi Festus,
That looks like a very rich and detailed visualisation of your activities this week. It sounds like self-observation gave you new insights on how you work you did not previously have.

Thanks, @tmadden Self-observation was actually helpful here. I really look forward to more discoveries about my learning in the coming weeks.

A really interesting data visualization that captures quite a lot of data in a graphical format. I like your attention in your commentary to how you collected the data, and what it appears to reveal about your preferred ways of studying/learning. You said at the end you were aware of other potential metrics — which other data do you think a software device might have been able to collect that you could not? There may be quite a lot of difference between intentional collection of data about one’s own activities, and the kinds of collection that happen in the background, automatically, without one’s own direct involvement. I wonder whether this says something about a downgrading of students’ own subjective views and voices on their learning, and a privileging of detached, seemingly objective, data-scientific views that ‘speak for’ students and tell them what their learning habits ‘really are’.

In my week 1. blog post, I sort of focused on the activities, learning spaces, and times. This did not permit me to zoom into the different activities and see how my time is allocated across events. What devices are more likely to be used for certain activities etc. This week I got more intentional in planning out my data collection according to the metrics to be measured. A software device could have easily tract my duration on a device or on a particular site instead of manually tracking that. I think in order to have a more factual demonstration of the outcome, we can consider doing a blend of the different views involved in data explanation.

This looks beautiful to me! Your visualization reminded me of Dear Data, in terms of aesthetics. I also like the idea of using reversed symbols for work and study engagements, as if they mirror each other… What you learn impacts what you do and vice versa. Was it intentional?

Hey Iryna, thanks for your observation and it’s very interesting your perspective on the symbols for work and study engagement. I had not looked at it that way but now that you mentioned it, it makes sense to consider that.

This is also to show that what the author meant to say by their data and visualization is not always what is perceived by those who look at them…

This is also to show that what the author meant to say by their data and visualization is not always what is perceived by those who look at them…

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