This is a site where I post articles, videos, and various resources relevant to a Theory of Knowledge teacher or student. You can find handouts, activities, and day to day plans on the resources for the TOK class page.
You can follow my day to day lessons with my Year 1s here.
The folder linked above lists the daily lessons chronologically. For the individual articles and resources linked below, there is no particular order but you can search by relevant Area of Knowledge or Way of Knowing by navigating the tabs above.
This site is currently configured for the “old” TOK course whose last assessment is 2021. Here is what I have gathered about the new course.
Please contact me by email if you have any questions.
Every map is infused with its maker’s decisions, which ultimately present a pattern, story or argument. Sometimes those choices of design, labeling, data selection, and data slicing show up as obvious biases, as in the case of Donald Trump’s infamously augmented 2019 map of Hurricane Dorian. More often, though, this inherent “truthiness” flies under the radar of a map’s tidy, matter-of-fact visual presentation, as in the many maps and models being made now of semi-reliable Covid-19 case data.
So while it’s relatively easy to make a map in an age of abundant data and digital tools, it isn’t always easy to read them. How can you tell what’s real, and what’s a distortion?
Link to the museum exhibit referred to in the article linked below
We are about to start week 3 of distance learning. I’ve worked on adapting my lessons to be completed on google classroom and submitted. Students can join the “class” on zoom to work through these as if we were doing a normal class. This provides for opportunities to discuss course content which is a central part of the course.
Here is a folder of the work I have done. Please feel free to take what works for you. You can duplicate any of the docs. Please also feel free to share other experiences you have had that work.
Fitting for the optional knowledge and technology theme in new TOK course.
How do we make better use of this piecemeal information? Computers are great at spotting patterns—but that’s just correlation. In the last few years, computer scientists have invented a handful of algorithms that can identify causal relations within single data sets. But focusing on single data sets is like looking through keyholes. What’s needed is a way to take in the whole view.
Much has been written about the concept of “fake news” and conspiracy theories but this brief list helps bring together some interesting information.
Presenting fringe theories as the essence of conspiracism gives the impression that conspiracy theorists are a handful of kooks who will believe even the most ludicrous ideas. But conspiracy thinking — the inclination to entertain conspiracy theories in general — is much more widespread than belief in any particular theory.
Mathematics professor Jason Brown spent 10 years working with statistics to solve the magical mystery. Brown’s the findings were presented on Aug. 1 at the Joint Statistical Meeting in a presentation called “Assessing Authorship of Beatles Songs from Musical Content: Bayesian Classification Modeling from Bags-Of-Words Representations.”
Good science requires a spirit of collaboration, not domination. The debate in social psychology involves some essential criticism of past scientific practice, but revolutions can also lead to a bandwagon effect, in which bullies pile on and bystanders fearfully turn a blind eye. Especially as more disagreements among researchers surface in social media rather than professional publications, there is an insidious temptation to mistake being critical for being right, and to subordinate humility and decency to a “gloating sense of ‘gotcha,’” as the journal Nature put it.
There is a better way forward: through evolution, not revolution.
- Radiolab Podcast: Outside Westgate: Originally Broadcast 11/29/2014
This is a phenomenally well reported and well put together podcast that examines the eyewitness testimony and memory of a terrorist attack in Kenya. It is one thing to describe the academic idea that people are often mistaken about what they see and what they experience but in this podcast we here from multiple people who are absolutely certain about what they saw but more “objective” evidence does not corroborate their stories.
“In the wake of public tragedy there is a space between the official narrative and the stories of the people who experienced it. Today, we crawl inside that space and question the role of journalists in helping us move on from a traumatic event.
“NPR’s East Africa correspondent Gregory Warner takes us back to the 2013 terrorist attacks on the Westgate Mall in Nairobi, Kenya. Warner reported on the attack as it happened, listening to eyewitness accounts, sorting out the facts, establishing the truth. But he’s been been wrestling with it ever since as his friends and neighbors try not only to put their lives back together, but also try to piece together what really happened that day.”
- Radiolab Podcast: Memory and Forgetting: Originally Broadcast August 9th, 2010
“Remembering is an unstable and profoundly unreliable process–it’s easy come, easy go as we learn how true memories can be obliterated, and false ones added. And Oliver Sacks joins us to tell the story of an amnesiac whose love for his wife and music transcend his 7-second memory.”