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Team-Based Learning <[log in to unmask]>
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Thu, 14 Oct 2010 11:08:11 -0500
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"Harris, Edward" <[log in to unmask]>
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Since my understanding is that the research doesn't show any significant
difference between instructor selected teams and randomly selected teams
I have a simple process that emphasizes transparency. For example, in my
class of 35 students I put them in 5 teams of seven by lining up the
class in the hall single file and having them count off 1 through seven
- all the 1's are a team, all the 2's are a team etc. I've been doing
this for several semesters and it seems to work well. Just a thought.

Ted


Dr. Edward "Ted" Harris 
Office: 445 Heritage Hall
Phone: 715-232-2532
Fax: 715-232-2588
Email: [log in to unmask]
School of Hospitality Leadership - College of Management
University of Wisconsin-Stout - Menomonie WI 54751




-----Original Message-----
From: Team-Based Learning [mailto:[log in to unmask]] On
Behalf Of Sweet, Michael S
Sent: Thursday, October 14, 2010 8:45 AM
To: [log in to unmask]
Subject: Re: team composition research

Dean's right--one or two (or maybe three) criteria is usually enough.

That said, a teacher here has begun using Blackboard and Excel to sort
his 345 students into teams using the Big Five Inventory.  (We don't
have any data on it yet, but he likes how it's turning out.)  

The Big Five Inventory is a personality meta-scale, derived from
hundreds of personality inventories like the Meyers-Briggs, etc..  

The Big Five personality factors are:

Extraversion
Agreeableness
Openness
Conscientiousness
Neuroticism

I have attached everything you need if you want to use Blackboard 9 and
Excel 2007 or above to sort your students that way next semester.

1)  Import the Blackboard Quiz file into your course on Blackboard (it's
a Test, worth 0 points).
2)  Have all your students take the Test.
3)  Follow the directions on the Team Formation Handout (<-
screenshot-by-screenshot).

FAIR WARNING:  I cannot be available for tech support on this.  If you
are Blackboard and Excel savvy, it's pretty simple.  But if you don't
consider yourself an Intermediate level user of both, then it would be
best to arrange a time with someone who is and they can walk you through
it.

-M




-----Original Message-----
From: Team-Based Learning [mailto:[log in to unmask]] On
Behalf Of Dean Parmelee
Sent: Thursday, October 14, 2010 6:43 AM
To: [log in to unmask]
Subject: Re: team composition research

It is hazardous to attempt to carefully engineer the team formation
process, especially if you want to keep it transparent to all.  Select
one or two criteria that will help with wealth distribution and
diversity - however defined. Then make it random - stratified random
sort.  Dean

Sent from my iPad

On Oct 13, 2010, at 1:52 PM, Larry Michaelsen <[log in to unmask]>
wrote:

> A number of years ago, I did some analysis of the relationship between
gender mix and RAT scores using data from several hundred teams.  The
differences were extremely small.  The only observable difference (I
think it was even statistically significant) was that all-male or
all-female groups did ever so slightly better.  
> 
> Larry
> 
> 
> -----
> Larry K. Michaelsen
> Professor of Management
> University of Central Missouri
> Dockery 400G
> Warrensburg, MO 64093
> 
> [log in to unmask]   
> 660/429-9873 voice <---NEW ATT cell phone 
> 660/543-8465 fax
> 
> 
> 
>>>> Molly Espey <[log in to unmask]> 10/12/10 9:26 AM >>> 
> Has anyone quantitatively analyzed how various components of a team
contribute to team success?  I'm interested in those components that we
as teachers might have access to information about the students BEFORE
forming teams:  gpa, gender, class level, age, in-state versus
out-of-state, major.
> 
> I'm also curious:  is it common or not for faculty to have access to
this sort of information about students enrolled in their classes?  We
have something called the "Student Data Warehouse for Teaching Faculty"
that provides lots of data but just about students enrolled in your
classes for the current semester (available shortly before the semester
starts in easy to use Excel format).
> 
> Thanks in advance for any responses!!
> 
> Molly Espey, Professor
> Applied Economics and Statistics
> 263 Barre Hall
> Clemson University
> Clemson, SC 29634
> (864) 656-6401

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