It has been about a month since I last took time to write here. Of course a lot is going on. I am going to blather on in a rambling way now. This will probably be a couple of posts–as I likely should have written one a week.
The Committee Assignment:
I have been participating in a University subcommittee with an insanely bureaucratic name: The LACC1CCC. That stands for “Liberal Arts Core Category 1C Coordinating Committee.” At this point, we are trying to sort out some kind of large scale SLO and SOA (Student Learning Objectives and Student Outcomes Assessment) for those courses we offer that fulfill the Liberal Arts Core requirement labelled 1C: Quantitative Literacy. I find this really challenging. On one hand it is important to have a clear idea of what you are trying to do and how you will decide if you are getting it done effectively. But it also feels like a giant nightmare: a lot of talking that will just disappear and not be used by anyone. For now, I have decided to be altruistic and believe there is a chance this will work well.
At UNI, we have five courses listed that meet the requirement:
- Math 1100: Math in Decision Making
- Math 1420: Calculus 1
- Stat 1772: Introduction to Statistical Methods
- Math 1201: Mathematical Reasoning for Teaching 1
- Computer Science 1025: Computer Modeling and Simulation
Those are very different courses. Somehow, we are to find a description of the commonalities in what we are trying to achieve with them and then decide on a measurement scheme for our own effectiveness at meeting those goals. I have taught the first three on the list (3, 1 and 2 times, respectively), but I don’t know much about the other two.
Right now, my biggest hangup is that my goals for Math in Decision Making are all about attitude and affect for the subject. I feel challenged by this process to improve my approach to “quantitative literacy.”
My course is split into three units: (1) counting and the idea of the infinite, (2) something about probability and/or statistics, and (3) classifying surfaces.
Almost all of the things that sound like strict “quantitative literacy” are in unit (2), which is clearly the worst part of the course. I am on my third time teaching this, I am using my third different approach to that unit, and it still doesn’t click. Students don’t like it. I don’t like it. Generally they don’t learn what I am aiming at and no one has any fun.
I worry that this is largely a problem of my attitude. Units (1) and (3) feel like this: “woo-hoo. let’s do some crazy math!” Unit (2) makes me feel like Ben Stein’s character from Ferris Bueller’s Day Off. So, this is something I am noodling over. Anyone got a good idea for a unit that teaches some basic prob & stat, but feels like interesting math is going on? Anyone? Anyone?
Oh, and if you have experience with designing SLO/SOA, I’d like to hear about that, too.