Does Your Curriculum Allow Enough Play?

Aside

“The best questions are the ones that create the most uncertainty.”

The quote, by Beau Lotto comes from a recent TED talk called: Science is for everyone, kids included. It’s about the importance of play. Uncertainty and ambiguity are naturally uncomfortable for humans, but he says that play has helped us step into that zone of uncertainty. Science experiments are in fact games (play with rules), and scientist and creative types have always embraced this while others have been a little more wary.

In this talk, he describes working with a group of 8-10 year olds in developing an experiment from a question the students had. They are also the youngest group to have a peer-reviewed paper published. It’s an example of experiential learning at its best and includes a lot of great educational topics: risk/failure/problem-based learning/collaboration/inquiry/intrinsic motivation/etc. He also brings out Amy O’Toole (now age 12) one of the original researchers to speak about the project as well.

Here’s a link to the paper.

Doodling Improves Comprehension

I haven’t posted a TED talk in a while, but this one is great short one.

“Studies show that sketching and doodling improve our comprehension — and our creative thinking. So why do we still feel embarrassed when we’re caught doodling in a meeting? Sunni Brown says: Doodlers, unite! She makes the case for unlocking your brain via pad and pen.”

 

Making Data Beautiful

Making sense of student ERB test scores on a spread sheet can be daunting for some, and after staring at those numbers for a while, make one’s eyes a little blurry. Turning those numbers or any kind of numerical data into something more concrete, like a pie chart or bar graph makes it much easier to read and grasp. Taking it one step further and pairing up with other data could reveal some interesting patterns. For example, with the test scores I mentioned, when comparing them to other schools, what if we were able to include data on the size of the school as well. Would the results change? What is the statistical significance when comparing a school with one class per grade to one that might have 10 classes per grade. Does the sample size change the data set in a way that might be interesting? There are many other ways one can think about data and there has been quite a rise in what is called an infographic: taking the data, adding some design to it, and representing it in a way that can be visualized so it can be easier to understand.

In his TED talk below, David McCandless draws interesting conclusions from complex datasets and pairing them together. So instead of looking at simply what country has the biggest military budget, he might pair that with the country’s GDP and suddenly, the results are quite different. He also has a blog worth checking out called Information Is Beautiful. It’s definitely worth checking out.