I wrote last year about using a game called Risk to help my students review before a test. Sam Shah wrote about it recently, and today seemed like a good time to try it again, since tomorrow is their big test on trig functions. I had my handout almost done (it was 10 minutes before class), and Word crashed. No, I hadn't saved it...
So I gave them a blank template, and put the problems on the board, mostly from memory. It actually worked better than handing out all the questions at the beginning. It raised the energy level, and kept the best students from working ahead. The best way to do this would be to have the blank template for the students, and one that fills in one question at a time on a powerpoint deck. (But I don't have a smart classroom for this class.)
My students loved it, and worked way harder on the problems than they otherwise would have. I hope their enthusiasm leads them to study enough to do well on the test tomorrow!
![](data:image/png;base64,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)
Edit: I seem to be getting a lot of credit lately for this game. I learned it at the 2010 AMATYC conference, where Janet Teeguarden used it to spice up her presentation on the history of pi. It's my understanding that she created it. I'm glad all us bloggers are spreading a fun idea.
So I gave them a blank template, and put the problems on the board, mostly from memory. It actually worked better than handing out all the questions at the beginning. It raised the energy level, and kept the best students from working ahead. The best way to do this would be to have the blank template for the students, and one that fills in one question at a time on a powerpoint deck. (But I don't have a smart classroom for this class.)
My students loved it, and worked way harder on the problems than they otherwise would have. I hope their enthusiasm leads them to study enough to do well on the test tomorrow!
Edit: I seem to be getting a lot of credit lately for this game. I learned it at the 2010 AMATYC conference, where Janet Teeguarden used it to spice up her presentation on the history of pi. It's my understanding that she created it. I'm glad all us bloggers are spreading a fun idea.
0 Komentar untuk "Risk: Betting on Your Expertise"