[Ailist] AI: How much theory to give?

[Charlotte Henley]

How Much theory?
Using the same analogy as the light in the room..... I like to light up 
minds.   I introduce a few ideas about analyzing the positive after the 
interviews. There is great illumination after the interviews.  I ask them 
how they are feeling and then relate that feeling to the proceess.   I 
highlight some research that illustrates the good results of positive 
approaches. Ai is a fundamental shift and shining a light on the nature of 
the process may cause a few in the group to consider it in their own lives. 
When I first started using Ai I did quite a bit more, but scaled back as I 
became more experienced.  I do just enough to flick on the lights inside 
their hearts and minds....Hoping they will say to themselves..... Hmmm maybe 
this is a good way to think of things.  Everyone has the power to light up 
the world and if they see the light, I want them to know how to flick on the 
switch
Charlotte Denny-Henley
Open Door Consulting
Huron, SD 57350

----- Original Message ----- 
From: "Dan Saint" <dansaint at ceoexpress.com>
To: <fcoupal at mosaic-net-intl.ca>
Cc: <ailist at lists.business.utah.edu>
Sent: Sunday, August 05, 2007 12:59 PM
Subject: RE: [Ailist] AI: How much theory to give?


> No theory should be offered. Only thoughtful inquiry and process.
>
> When we turn the light switch on in a dark room, we don't explain where
> electricity comes from or how the light bulb works.
>
>
>
>
>
> ----- Original Message -----
>> I will be undertaking an AI process across the country to look at racial
>> diversity and tolerance.  In each of the cities where we will be
>> travelling
>> to, we will be grouping the key project stakeholders to listen and record
>> their experiences and stories.  I was wondering how much background or
>> theory on AI colleagues give to the stakeholders before or after the
>> storytelling?
>>
>> Original Message:
>> -----------------
>> From: Ray Calabrese ray_calabrese at cox.net
>> Date: Sat, 04 Aug 2007 16:04:11 -0500
>> To: ailist at lists.business.utah.edu
>> Subject: [Ailist] AI and Evaluation
>>
>>
>> Colleagues,
>>
>> Attached is an article where AI has been used effectively as an
>> evaluation tool. I hope you enjoy it and can see applications to your
>> work.
>>
>> Best wishes,
>>
>> Ray
>>
>>
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