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The SI template that Sara posted, based on the UMKC program evaluation format, is a great model for tutoring and other academic services as well as SI.  One really nice feature of TutorTrac is that it generates that report for you, so the time-to-compute issue becomes a non-issue.
 
There are so many options for evaluation data that you could draw from, but the evaluation processes you choose will depend on what data you can retrieve or generate as well as your comfort level with tackling different kinds of evaluation.  While they may seem overwhelming, in many ways having a lot of variables to work with can be very helpful.  Because each person's program is different, please feel free to call me if you want to talk over the options that might work best for you.

----- Original Message -----
From: Sara Weertz <[log in to unmask]>
Date: Wednesday, March 4, 2009 10:14 am
Subject: Re: Quantitative Measures to Evaluate a Program
To: [log in to unmask]

> Barbara,
> 
> I'm surprised no one has responded to your post, because the 
> answer to your question is a definitive yes. There are 
> quantitative measures you can  use to better assess the 
> effectiveness of your program. The fact that you are evaluating 
> tutors within specific courses will make your evaluation a 
> detailed but fairly easy process.
> 
> The way I see it, the only variable you really need to be 
> concerned with is the number of times a student receives help 
> from an in-class tutor. Therefore, you must have some way for 
> the students to sign-in or "log" the academic assistance.
> 
> Attached is a template for my Discretionary Report. At the end 
> of each term, I produce a report such as this for every class we 
> support. The report basically divides the class in two: those 
> that received help and those that didn't. If you're interested 
> in learning more about this kind of reporting, give me a call.
> 
> Sara Weertz
> Angelo State University
> San Angelo, TX
> (325) 942-2710  X-387
> 
> 
> 
> -----Original Message-----
> From: Open Forum for Learning Assistance Professionals 
> [mailto:[log in to unmask]] On Behalf Of Barbara Speidel-Haughey
> Sent: Tuesday, March 03, 2009 12:14 PM
> To: [log in to unmask]
> Subject:
> 
> As a "mutation" of our Power Study Program (SI), we have begun 
> to experiment with in-class tutors within basic skills courses. 
> To date the pilot shows great promise, with enthusiasm and 
> positive comments from both faculty, tutors, and students. 
> However, we need to find a way to evaluate this program beyond 
> qualitative data. This is proving to be difficult because of the 
> many variables involved. Does anyone have suggestions regarding 
> quantitative measures we can use to better assess the 
> effectiveness of this approach?
> 
> Thanks!
> 
> Barbara J. Speidel-Haughey
> Learning Assistance Services Coordinator
> Ext. 6579
> [log in to unmask]
> 
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Jan Norton, Director 
Center for Academic Resources 
University of Wisconsin Oshkosh 
(920) 424-3419

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