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From:
Eddy Chi <[log in to unmask]>
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Date:
Tue, 26 Oct 2010 08:27:43 -0700
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Hello Jennifer,

I am currently trying out TBL for the first time and am facing this same
problem for my preliminary/midterm peer review.

My solution is to have teams decide during one class meeting on a subset of
their team that consists of members who have attended class at least half
the time in the last month.  The subset might be the entire team or just a
portion--whatever the team members decided during that class.  The members
of the subset are then instructed to only evaluate other members of the
subset.  I make all students take home identical lists of who is in the
subset to write up their peer evaluations online.  (I also make the teams
make extra copies of the subset for students who were absent.)

Students who are not in the subset will get a 0.  Since the preliminary/peer
review is not "graded", I don't mind giving students a 0 for being absent.
Hopefully these "0" students will improve their attendance in time for the
final peer review.

Best,
Eddy

-- 
Eddy Chi, MA
Assistant Professor, Economics
Humanities and Social Sciences Department
Moreno Valley College, Riverside Community College District
16130 Lasselle Street
Moreno Valley, CA 92551, USA
Phone: 951-571-6100
Fax: 951-571-6185



On Sun, Oct 24, 2010 at 8:28 AM, Jennifer Imazeki <[log in to unmask]>wrote:

> Hi everyone,
>
> I'm curious if/how others make adjustments to numeric evaluation
> scores when there are teams with huge variation within them. That is,
> I have a couple of teams where there are students who have basically
> 'dropped' the course but not officially - that is, they are
> technically still enrolled (and may show up on RAT days) but otherwise
> they are NEVER there so not surprisingly, their teammates gave them
> very low scores on the mid-semester evaluations. But because they have
> a fixed number of points to distributed to the team, that means they
> give the other team members significantly higher scores than the class
> average (so the missing student has an average score of around 2 but
> some of the other students have average scores WELL above 10). In
> contrast, I have a couple of teams where everyone is solid and
> contributing and so everyone has very similar scores, all close to the
> average. I use the evaluation scores as a weight but it seems sort of
> unfair that the students in the first team have weights that are
> disproportionately higher just because they have one team member who
> is a total slacker.
>
> Any advice/thoughts on how to deal with this situation?
>
> thanks!
> Jennifer
>


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