home *** CD-ROM | disk | FTP | other *** search
- Path: sparky!uunet!stanford.edu!agate!garnet.berkeley.edu!ewanders
- From: ewanders@garnet.berkeley.edu ()
- Newsgroups: misc.education
- Subject: Performance Clumping (was Re: If you have to
- Date: 23 Jul 1992 00:47:44 GMT
- Organization: University of California, Berkeley
- Lines: 54
- Message-ID: <14kvjgINNh93@agate.berkeley.edu>
- References: <1992Jul14.021817.16355@eecs.nwu.edu> <54496@mentor.cc.purdue.edu> <1992Jul21.100559.11027@highlite.uucp>
- NNTP-Posting-Host: garnet.berkeley.edu
-
- In article <1992Jul21.100559.11027@highlite.uucp> alan@highlite.uucp (Alan McConnell) writes:
- >
- >But I wish to raise a question arising from Prof Rubin's post. Why is it
- >that one class in, say, Trigonometry(or American History), will be a "good"
- >class, with many A-deserving students, while the next term the class(also
- >containing 35 students, say) will be miserable, with many flunking? Does
- >not the Law of Large Numbers mandate pretty much an equal distribution of
- >talents in the two classes? (this will, I hope, be a Red Flag to certain
- >posters in this topic ;-) ).
- >Alan McConnell
- >--
- >Alan McConnell "What wondrous life is this I lead!
- >Pixel Analysis Ripe apples drop about my head . ."
-
- I have seen the same trend in several of the classes I have taught.
- (all college-level engineering type classes). While it is reasonable
- to assume that students enter with a random distribution of talent and
- prior preparation, it is clear that CLASS performance varies by more
- that one would expect based on the variation in individual student
- performance. The obvious explanation is that performance of students
- within a class is not distributed in a Gaussian (or whatever) fashion
- because students are not "independant" variables.
-
- The main factor at work is that students get an idea of what constitutes
- acceptable performance by watching each other. When they come to hand
- in an assignment, if one of a group of students has spent 4 hours on
- a problem set but finds his buddies spent only 2 hours, he is likely
- to decide he is taking it too seriously and slack off. On the other
- hand, if he finds out that they spent 8 hours and wrote a computer
- program to solve the last problem he is likely to try harder next week.
- Grading on the curve only encourages this sort of thing, because there
- is no incentive to try any harder if you are already at the top of
- your group.
-
- Another factor in engineering-type classes is that the "good" classes
- tend to work cooperatively to a much greater extent than the others.
- I'm not talking about dividing up the work to get the most problems
- solved with the least effort. I'm talking about study groups in which
- each member of the group makes an extended effort to solve all the
- problems alone, but then the group gets together to compare solutions,
- study them as alternative problem-solving strategies, and then
- brainstorm about the problems none of them could get. The great groups
- then go on to the library, pick the instructor's brains, and actually
- go out of their way to learn something while solving the problems.
-
- In weak classes, given a challenging problem set they quickly realize
- that no one got problem five, so there is no need to really try. If
- it matters the instructor will go over it in class. Sigh.
-
- --
- Eric W. Anderson | ewanders@garnet.berkeley.edu | (510)-486-4986
- Chem. Eng. Dept. |-------------------------------------------------------
- Univ. of California | I don't speak for the University, the city or the
- Berkeley, CA 94720 | people of Berkeley, and they don't speak for me.
-