Week 10 summary

Unbelievably it is the end of week 10 and it will be strange easing off to move onto thinking about the final assignment without having any formal additional reading or activities to attend to.

This week continued the theme throughout the course, with me remembering the human within technological achievement. The week began with a Jisc video which includes a message from Sheila McNeill : “...it is really important that we don’t forget the human element of learning analytics. It is easy to get carried away by technology, by the data, by the dashboards…”

Many other entries focused on visualising data and some of the beautiful objects and art that arises from (I suspect the assignment might be on my mind).

Finally, through the analysis of the Tweetorial and discussions during the Hangout I began to suspect that I look at the data perhaps somewhat differently.  It was raised that the data privileged quantity over quality and it was clear that in the data sets those who shout loudest and most often win the day.

Even out and about in the park I was seeing ‘networks’ in everything

However, I saw the data as how I experienced the tutorial. I generally hang back and think about replies for quite a while before pressing send. Throughout the two days I probably deleted as many tweets as I sent. For me, it was more about being in a class, yes the topic was serious and I did file away papers and links but I chatted and learned from my classmates and felt part of #mscedc, something I chatted further about off lifestream.

The data will never be simply numbers to me, I will always want to analyse thinking of the humans as the nodes, joining and connecting. Maybe lots but maybe less, like the organic nature of a tree with many branches and buds, as the ‘visible’, roots and seeds as the ‘invisible‘. I still believe our networks are too complex to be reduced to this binary referred to in Knox (2014).

Reference:

Knox, J. (2014). Abstracting Learning Analytics. Code Acts in Education ESRC seminar series blog. http://codeactsineducation.wordpress.com/2014/09/26/abstracting-learning-analytics/

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