Month: January 2022

My wow:
What interested me most this week comes from the Siemens article (https://www.itdl.org/Journal/Jan_05/article01.htm). I found the limitations of the learning theories to be an interesting consideration, especially the point about the theories not making room for learning that occurs “outside of people”. They seem to be only concerned with individuals’ learning, but I think there is a lot that may be missed if you are discounting how entities like organizations and technology learn. Further, I never thought about the fact that learning theories do not consider the value of what’s being learned. This is vital and a big oversight.

My wonder:
In the same vein as my Wow, I am wondering if there is room for these theories to be modified to be inclusive of types of learning that are separate from the person. Especially in the modern world, technology’s ability to learn is vital and arguably foundational to a lot of aspects of our society. These theories should perhaps be edited or modified to include technological and organizational learning. I think that this would help them to be more accurate when it comes to people, too.

The thing that caught my interest most this week (my “Wow”) came from Danah Boyd’s article about Networked Privacy. I found the whole article to be a particularly interesting read. I had never thought about data and privacy in terms of being “networked”, that what we share tells us about others. DNA data was an obvious example to me, but it was interesting to consider that even appearing in the background of strangers’ pictures is in fact personal data that is floating around out there without our knowledge or consent. While something like this is probably low-risk, it is still worth considering.

My Wonder for the week comes from this same line of thinking. It is less something that I can research and more something I want to be introspective about–how much of my data may be out there that I know nothing about? Not just pictures with me in the background, or DNA information, but more subtle information that I may not even realize could be out there? This is definitely something I will be pondering thanks to Boyd’s paper.

This Wow and Wonder post references the following article: https://ojs.library.queensu.ca/index.php/surveillance-and-society/article/view/networked/networked