Occasionally we actually get some good ideas from PD in-servicing. I previously wrote in praise of Paul Gorski's anti-grit (possibly now anti-resilience) stance. Today we watched a video that, in a nutshell, asked us to better understand how stats work, which is a very necessary concept for everyone to grasp in order to recognize that the average of a group isn't reflective of each individual. The more interesting bit here, though, is instead of teachers differentiating instruction for each student, we might be able to teach students to figure out what they need to be their best learners, I think possibly by offering weighted options, challenging them to adhere to time limits, and helping them figure out the difference between true limitations and failures due to educational barriers. This is a bit round-about, but it all comes together in the end.
In my social science classes, I belabour the implications of population data falling on a normal curve. What we take as "normal" is typically just 68% of the population, and the other 32% is... something else. If we can really wrap our heads around this idea that only 68% will be one standard deviation from the norm, then we can better understand how stereotypes form, and how terribly simplistic and inaccurate they are as a way of understanding any group of people, thus beginning to dismantle prejudices and discrimination.