Lifestream summary, week ten

This week, what do you see? I’m using some optical illusions to illustrate the Lifestream journey.

https://upload.wikimedia.org/wikipedia/commons/thumb/0/0d/Dichotomy.svg/455px-Dichotomy.svg.png

It’s not a straighforward journey, but the illusions are in honour of Jeremy Knox’s blog post on ‘Abstracting Learning Analytics’, which has infused a number of Lifestream posts and has informed a lot of my thinking behind them.

Learning analytics can be illusion-inducing…

… and not always clear. Is there a shape there, or not? That was a question within and behind the analysis of the Tweetorial.

https://commons.wikimedia.org/wiki/File:Optical_Illusion.svg

Do things inter-relate, or not? And, if so, how – and am I sure?

https://upload.wikimedia.org/wikipedia/commons/thumb/4/45/Pinna%27s_illusory_intertwining_effect.gif/600px-Pinna%27s_illusory_intertwining_effect.gif

What am I seeing, exactly, and is that correct – and the only way to see it? Are others seeing something I’m not – and what happens when politics and power (as well as the market) are embroiled in these interpretive steps? [Non-representational art is still bound into contexts of production and consumption.]

https://upload.wikimedia.org/wikipedia/commons/9/9c/Klam-DveTvareNeboPohar.gif

 

Or, alternatively, seeing something when there is nothing there. Or, put another way, seeing something in the nothing, but the ‘nothing’ is important – and is made into a ‘something’? [Even Guardian readers – particularly Guardian readers – have their own filter bubbles, even filter baubles.]

https://upload.wikimedia.org/wikipedia/commons/0/07/Kanisza_Triangle.jpg

But, in the digital sphere, is it ever creation ‘out of nothing’?

https://upload.wikimedia.org/wikipedia/commons/thumb/6/61/Decorative_masking_tape_%282498645134%29.jpg/800px-Decorative_masking_tape_%282498645134%29.jpg

Learning analytics becomes creations (plural) out of something. [And we might not know what we’re creating – cross your fingers, and hope for the best?]

https://upload.wikimedia.org/wikipedia/commons/thumb/d/d3/Duck%2C_Rabbit%21_Duck%21.svg/600px-Duck%2C_Rabbit%21_Duck%21.svg.png

But throw enough data and metadata into the mix, and will anything become something, or something become anything? [Is the art gallery of learning analytics actually a hall of distoring mirrors?]

https://upload.wikimedia.org/wikipedia/commons/7/7e/Two_parallel_lines_distorted.jpg

Learning analytics: perhaps it all depends on what contextual surface you lay it all down…

https://upload.wikimedia.org/wikipedia/commons/thumb/3/3e/Different_map_projections.png/800px-Different_map_projections.png

… and the comparisons you look to draw…

https://upload.wikimedia.org/wikipedia/commons/thumb/2/2e/Jastrow-illusion.svg/145px-Jastrow-illusion.svg.png

…or draw to look…

https://upload.wikimedia.org/wikipedia/commons/thumb/4/47/Ujevare.Theth-albania_02.jpg/800px-Ujevare.Theth-albania_02.jpg

…and the scale, scape and perspective from which you stand.

https://upload.wikimedia.org/wikipedia/commons/thumb/6/6f/Illusion_dependent_on_viewing_distance.jpg/800px-Illusion_dependent_on_viewing_distance.jpg

Perhaps, into the twenty-first century, we should expect a bumpy ride ahead?

https://upload.wikimedia.org/wikipedia/commons/thumb/0/02/%E9%8C%AF%E8%A6%96_%2815073682070%29.jpg/450px-%E9%8C%AF%E8%A6%96_%2815073682070%29.jpg