First day of S&P is on the books! Today involved telling students how assessments work, so now seems like a good time to share my (new) approach for this term. The TL;DR version: We're not doing points. Points annoy everyone and this ain't Hogwarts. Read on for more. <1/n>
First, a word about #ungrading. I REALLY want to like ungrading. I have colleagues who are strong advocates for it and I've seen success stories here and elsewhere about it. I also had a terrible go at trying it in a much smaller class last year - just didn't work at all. <2/n>
Honestly that experience got me pretty low about teaching - about the worst I've felt about it during my career. BUT, I still wanted to try and break the points-based mentality a lot of our students have. So: a compromise. <3/n>
Here are the main principles for all my assessments: (1) Everything is either graded as "satisfactory" or "not satisfactory." (2) You can revise any unsatisfactory assignment to level up, BUT (3) only if you initially turned it in on time OR asked for more time up front. <4/n>
The logic (such as it is) is that students will learn content by trying until they get it right. Revision opportunities also relieve the pressure of acute problems like illness, child care responsibilities, car trouble, etc. <4/n>
A key part of this is to plan for lots of students needing more time and granting that without much worry. I've found that if you give students room to flex, it very rarely turns into the catastrophe we all fear of all the work coming in later and later. <5/n>
These principles apply to all 3 types of assessments: (1) Multiple choice content questions (3/wk). Meant to be easy, and you answer until you get 'em right. Great pedagogy? Maybe not, but also a way to make sure students at least SEE the important facts. <6/n>
(2) Lab reports (1/wk) - Students describe observations from weekly lab sessions, report what didn't work and come up with question(s) the activities raised for them. Largely graded on completion, but if it's really poor I tell 'em to do better. One chance to revise. <7/n>
(3) Problem sets (1/wk). This is the tough stuff. Quantitative problems about models of visual phenomena. Work in groups if you want and two opportunities to revise within 2 weeks of the original due date (w/feedback). <8/n>
Letter grades are based on how much you get done to a satisfactory level. To get a D, you just have to do the lab reports and the MC questions. Want a C? Tack on 5 satisfactory problem sets. A B? Make it 8. An A? 10 of 'em. <9/n>
I'm curious to see how students calibrate to the grade scale. My guess is that there will def. be students who land their B or C and check out. And you know what? OK. If you only want to go so far, why not just be transparent about it and let you shoot for your own goal? <10/n>
Plenty of students do that all the time anyway and I think it's their call to make. This way, they get to that B or C by doing some fraction of the course correctly. Maybe a weird analogy, but it's like doing physical exercise with better form even if its fewer reps. <11/n>
Am I going to drown in revisions? Maybe a little. But, capping the total number at least limits that somewhat. I also never need to spend time negotiating point values, which takes time and is soul-destroying to boot. <12/n>
So, we'll see how it goes, but this is the plan. I'd love to hear comments or questions about this approach and if anyone wants to hear my rant about #ungrading, I will totally share privately anytime! Wish me luck, and stay tuned for more updates. <end>
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More from @bjbalas

Jan 18,
My students in S&P have their first problem set due at the end of this week, so here's some examples of the kind of stuff I want them to work on this week. First, the goal: Practice with dot-products, vectors, trig, and using formulas. Time to calculate stuff! <1/n>
Many of the problems are quite dull: Here are some dot-products, practice multiplying and adding. Here are some trig functions (and inverses) to calculate. Here are two points - calculate the Euclidean distance between them. Hopefully this is re-awakening old skills. <2/n>
Next, I almost always introduce them to the formula for calculating visual angle in one way or another. The easier way to do this is to give them the formula and ask them to explain why it is what it is. The point is to practice reasoning about math and talking about it. <3/n>
Read 10 tweets
Jan 11,
Another 🧵 about what I'm doing this week in S&P at @NDSU. One goal for Week #1 is to begin re-introducing students to the math they'll need for the course. This is tough going - many of them will have taken no math at all since freshman year, save for our methods seq. <1/n>
As a group, they aren't confident in their quantitative skills. My first "quiz" is always to ask what the most advanced class is that they've taken and how they'd rate their confidence in their quantitative skills. This usually ends up between 1-2 on a 1-5 scale. <2/n>
What do I want them to be able to do? My class is largely an exercise in how vision would work if everything was linear (though non-linear operations sneak in later). This means I can really introduce a few key concepts that go a long way. <3/n>
Read 11 tweets
Jan 10,
A 🧵re: Week 1 of S&P at @NDSU. This time around, I'm going to tweet out more details of what I cover each week and what kinds of problems I want my students to learn how to solve. Hope this is useful and remember you can find demo ideas/etc at sites.google.com/view/hands-on-…. <1/n>
Week 1 focuses on what the class is about: What's interesting about studying vision? Why does Dr. Balas think I should use math to understand it? @NDSUPsychology students tend to have a good bit of skepticism about both propositions. <2/n>
I start by highlighting some ways that their vision does some impressive stuff. @MichaelBach99's acuity/hyperacuity is a great start for a group activity - how low can you go? I emphasize that there's measurements the visual system makes very well. michaelbach.de/ot/lum-hyperac… <3/n>
Read 13 tweets
Jun 26, 2021
Updated preprint from myself, @gnomicbrain and Dr. Sarah Weigelt! In this study we used a production task to measure children's estimates of typical face configuration in upright and inverted contexts. Short 🧵 about the main results... <1/n> psyarxiv.com/5btma/
We asked kids between the ages of 5-10 and adults to make "typical" faces by placing the eyes, nose and mouth inside either an upright or inverted face outline. <2/n>
This task allows us to measure many descriptors of face appearance including the absolute position of each feature (see below for averages) and specific spacing relationships. A surprising result: Inversion doesn't affect the systematic errors kids and adults make! <3/n>
Read 6 tweets
Apr 25, 2020
Alright, time for more comparative color #visionscience, but this time the species is far less well-researched. On Monday, I'm talking to my S&P students about the visual system of the animal below. <1/n>
In case you don't know what that thing is that is the PREDATOR. This alien essentially won the 1980's by being the most ridiculously awesome scary alien I had ever seen by the age of 8 (and I'd seen some stuff by then - trust me). <2/n>
As a grown-up scientist, I also recognize that the Predator provides an opportunity to try making inferences about the visual system of another species given only limited access to its subjective experience. Many have tried other approaches - all have been PREDATORed. <3/n>
Read 16 tweets

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