Qestion about ensuring "complete" training ... Re: [Ailist] Use of AI in Training

lsgallegos at comcast.net lsgallegos at comcast.net
Sun Aug 12 12:16:12 MDT 2007


Great question. 
It is safe to say that students learn in different ways and demonstrate knowledge differently. My training emphasis would be on identifying student learning strengths and effective/successful support strategies to address knowledge acquisition and output rather than a focus on the traditional reading and writing approaches often used to measure student achievement/progress. I'm hoping that the use of AI with a team of professionals can be used to build in a reflective component that can be used with supervisors to determine alignment with regulatory procedures. 
The training would be with those specifically involved with the student's plan. The regulatory aspects are mostly procedural regarding notification timelines and participants involved. Notification timelines are mostly administrative. The participants involved would be those who have knowledge of the student in a number of different roles, which aligns well with the regulations. The manner of creating or documenting achievement or effective learning data is not outlined in the regulations and therefore is minimized to reflect regulatory language and not much useful "instructional" information.
So I guess the answer to "how is this overcome?" is that supervisory or administrative reflection on the outcome of the planning document would determine that procedural regulations were met and the documentation of student progress would determine if the AI cycle of team participant training improved student achievement/progress.
Laura  
  


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-------------- Original message -------------- 
From: "Lionel Boxer" <lionel.boxer at rmit.edu.au> 

> One concern that I have with not identifying gaps in knowledge is that 
> safety and regulatory training needs might be overlooked. That is, 
> "complete" training needs may not be met. How is this overcome? 
> 
> Lionel Boxer CD PhD MBA BTech(IndEng) - 0411267256 
> Research Fellow - lionel.boxer at rmit.edu.au 
> Centre for Management Quality Research 
> Pipes&DrumsSupport: http://intergon.net/rvrpd/function.html 
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> Visit: http://www.nontoxiclife.com.au 
> >>> 11/08/07 2:02 AM >>> 
> Dear all, 
> Over the years I've enjoyed the sharing of expertise by those who are 
> deeply involved in AI. For that I thank you. 
> At this time I'm interested in utilizing AI to design instruction with 
> teams responsible for compliant student planning. I have found 
> regulatory training to close down creativity and traumatize those 
> responsible for implementing. 
> Traditionally this is a deficit-based process where staff look at gaps. 
> I've read Dr. Karen Norum's material on Appreciative instructional 
> Design (AiD) and find it very interesting. The AI cycle lends itself to 
> an internal and ongoing process of improvement that can ultimately be 
> embedded into the system of planning. I would be interested in hearing 
> how others have used AI when designing training. 
> Thanks 
> 
> Laura 
> 
> -- 
> 600 Camino Espanol NW 
> Albuquerque, NM 87107 
> lsgallegos at comcast.net 
> PH (505) 250-5204 
> FAX (505) 345-4450 
> 
> "We don't accomplish anything in this world alone ... and whatever 
> happens is the result of the whole tapestry of one's life and all the 
> weavings of individual threads from one to another that creates 
> something." 
> 
> --Former Justice Sandra Day O'Connor, 
> first woman on the U.S. Supreme Court 
> _______________________________________________ 
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