Stephanie Evergreen is the Director of eLearning Initiatives at the American Evaluation Association, as well as having her own company Evergreen Evaluation. She recently wrote a blog post about how to make evaluation findings more exciting and interesting. Follow the link to learn how to make a scratch-off chart. If you’re a little crafty (person who likes hands-on crafts), you may like this.
Archive for the ‘Evaluation’ Category
Has this happened to you? You teach a class, a training session, what have you, and then you distribute an evaluation survey. So far, so good. You sit back to read the evaluations and you learn there was a problem during class or someone didn’t understand something and you think I wish they told me that during the class. Read an article at the Kirkpatrick Partners website called: Is your training survey too late?
You’ve done the work; you’ve collected the data; now what? In recent years, there has been an outpouring of tools to corral data and present it in a human-friendly format (ex. Infographics). A recent article in Information Today provides a run down of many different options based on the type of information you are trying to present. http://goo.gl/rf1mt
The American Evaluation Association [http://www.eval.org/] is creating a resource with presentation guidelines to help you “prepare, develop, and deliver awesome presentations that will better engage your audience and make your content stick.”
To view the tools they have posted, visit http://p2i.eval.org/index.php/p2i-tools/
Many of us who provide training classes end the class with an evaluation. Speaking for myself, I love to see positive evaluations, but sometimes there is a lone voice that does not jive with the rest of the evaluations. It is easy to say, well that is just one person. Rachel Wasserfel, an Evaluator by profession and a blogger, wrote a post called The power of the dissonant story.
From Rachel’s post: I suggest paying close attention to the outlier story – information, cases, events and other occurrences that are atypical, when compared to the overall data collected. Instead of dismissing such occurrences, I study them: they may signal a need to dig deeper for more insight.
Read the entire post at: http://goo.gl/CWn6w