Comment on Algorithmic Play by dyeats

Thanks Jon, very interesting artefact and the conclusion for application in education is compelling. That approach would definitely support the push for personalised learning. I wonder how much further personalisation has to go and how it will change public education? The old school might argue that reading something you don’t like or aren’t interested in is an essential part of education. If an algorithm removes those readings from a students reading list based upon what they have disliked reading before, what unforeseen results might this have?

If you ever want to revisit the chatbot stuff, there has been some progress in that area with QBot in MS Teams :

Comments for Jon Jack’s EDC lifestream

Comment on This is my algorithmic play with youtube, I hope you all have enjoyed this activity! #mscedc by dyeats

I really thought this point you made is very insightful:
“apopheniac results of algorithms can be seen by educators, it can create the wrong prejudice about students which makes educational decisions more difficult.”

I also like that word “apopheniac”! Will have to add it to my vocabulary.

Very interesting result with regards to the ‘zero-waste’ search. That content provider obviously has a powerful grasp of how to increase views and be put first in YouTube’s recommender system.

To you recommendation about the need to intervene in education, I would add that there is need to provide space for reflection on results and for students to not just analise the content of their work, but how they arrived at that content. There are obviously other forces at work which direct us to certain sources of information and therefore the way we acquire and build up knowledge.

Comments for Jiyoung Kwon’s EDC lifestream

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Hi Val,
I haven’t even got past the first page of your artefact but I’m already saying YES! Exactly! right on!
Excellent way to frame the algorithmic play with all that context.

Thank you also for providing an analysis of Amazon’s algorithm. The flow chart you created effectively illustrates how it works to my understanding.
You engaged in such thorough, detailed and diverse play.

Your point that “Amazon™ can easily fit the pattern of learning platforms like EdX or Coursera” reminded me of this article in which

I didn’t get to read your Netflix piece yet, but enjoyed the response of your Google Assistant.

Great stuff!

Comments for Val Muscat’s EDC lifestream

Comment on Algorithmic play artefact : teaching@digital podcast: by dyeats

Thanks for highlighting those points Adrienne. I still wonder whether the social network principle is merely reflecting the human social landscape or whether, as you brought out in your artefact, the entanglement and influence of the digital landscape has changed our perception of work, study and capital in more profound ways than we are aware?

Comments for Teaching@DigitalCultures

Comment on Comment on #mscedc My algorithmic play artefact: by dyeats

Thanks for sharing this one Iryna! I’m glad I’ve finally been able to watch it.
Very profound findings which show just how much Google, Yahoo, Bing and Baidu (among other) search engines have become powerful advertising platforms.

The old idea that you can create amazing relevant content and it will jump to the top of the search results is well and truly dead and gone. In fact, I can’t quite remember who it was who described Google and Facebook this way first, but they a primarily advertisers. “Search” and “networking” are now not even secondary or tertiary objectives of these platforms anymore.

This marketing agency agrees:
They claim to have worked out the best formulas for getting your content out there on the search engines.

Thanks again for sharing your work. Very thought provoking and insightful!

Comment on Algorithmic Play Artefact by dyeats

Hi Adrienne,
Really enjoyed how much you were able to expose the workings of algorithms across major platforms.
I think my key realisation from what you said and the references you drew on from Knox, Williamson and Kitchin was that if you really look, the work that algorithms do is clearly visible in our consumption of culture now.
The entanglement of the human and non-human in generating our own digital culture is clear to see. Even if we don’t understand the underlying science of algorithms, their behaviour and impact can’t be ignored.

You made excellent connections and analysed what you saw in your suggestions very carefully. The analysis of the impact of demographic data caught my attention too. This is where an argument can be made for the motivations behind algorithm design. On the one hand we could say, the system works to benefit us because there is just too much data for any one individual to wade through in order to find something they like or something that is relevant to them.
On the other, there is the fact that this creates an echo chamber of ideas and people who think and look like the ‘customer’ using the algorithm. Thus, as we have seen in recent history it becomes much easier to politically manipulate vast swathes of a particular demographic without any oversight or awareness from the regulatory systems.
Great artefact, I’m glad I’ve finally had time to look at it.

Comments for Adrienne O Mahoney’s EDC lifestream

Comment on Algorithmic play artefact : teaching@digital podcast: by dyeats

That’s a great point Sean and I hadn’t even considered the cybersecurity angle. And that 100 is only the ones I listened to, I suspect there are hundred more that I just couldn’t be bothered chasing up.

I made the dubious choice late last night of searching for tracks with the title COVID-19. That was an eye-opener. ” lofi hip-hop COVID-19 tracks to quarantine to” is a new favourite. But someone is also creating an album of experimental rock which is responding to each major ‘milestone’ in the pandemic. It is a strange and wonderful world.

Comments for Teaching@DigitalCultures

Comment on ‘Algorithmic play’ artefact – ‘Algorithmic systems: entanglements of human-machinic relations’ by dyeats

Wow! Another sensational artefact Michael. So incredibly detailed and well researched.

Really great question raised about Silicon Valley’s idea of ‘progress’. That article by Giannella looks fantastic. Go Berkeley!

You really captured the essence of some common types of educational algorithm platforms and the philosophies behind them in a creative and engaging way. What’s more the artefact itself is an educational experience of some kind of adaptive learning program.

Really cool and impressive!

Comments for Michael Wolfindale’s EDC lifestream

Comment on Week 9 Summary: the good, the bad and the ugly of algorithms by dyeats

Hey Sean,
Very sorry to hear about your getting RRV. I’ve had a couple of friends contract it and it is a real bastard. Hope you’re feeling better and your immunity gets back into shape soon what with COVID-19 making it’s way through Australia and the rest of the world now. Stay well.

Really interested to hear about your experiences with adaptive learning platforms as I’ve always been quite skeptical of their efficacy. Good to hear some positive stories where you, the teacher, were partnering with the tech and your students to work out the best approach. I guess my reticence comes from accounts of adaptive learning platforms where they are deployed with the effect of isolating the student form their teacher and in some cases even removing the teacher.

I’ll comment on your artefact here too. It was really entertaining and quite humorous to see the lengths to which you went to get a reaction. Not so surprised that your amazon purchase didn’t have any impact because I take it that Amazon and Facebook are fierce rivals for the collection of our data!

Comments for Sean Flower’s EDC lifestream