Scott McLeod: Data-driven Decision Making

The No Child Left Behind Act has forced school districts across the U.S. to take a hard look at data about their students’ achievement. Lots of data. But some districts have gone beyond the requirements of NCLB and have embraced data and used the information to identify best practices and improve student achievement.

Dr. Scott McLeod is a professor in the Department of Educational Policy and Administration at the University of Minnesota and a proponent of data-driven decision making. As director of the University’s Center for Advanced Study of Technology Leadership in Education (CASTLE), Scott works with educators around the country, helping them understand how being data-driven doesn’t have to be as scary as it sounds. We sat down for a chat earlier this week about some of the ways district’s are using data, how to overcome barriers to utilizing data, and some examples of using data that go beyond student achievement. And we even take a question from a “caller.”

Scott has agreed to monitor the comments on this post to dialog with any listeners who would like to follow up on something they hear. So don’t hesitate to post another question or ask for clarification on something from our conversation.

Download: STP-ScottMcLeod-1 (15.9 MB, 34:43)

Submit your DDDM and legal issue questions

I’ll be recording a podcast with Dr. Scott McLeod soon on the topics of data-driven decision making (DDDM) and legal issues confronting school technology leaders. Dr. McLeod is Assistant Professor in the Department of Educational Policy and Administration at the U. of Minnesota and Director of the School Technology Leadership Initiative.

I’d love to try taking some questions from the “audience” for this podcast because I know these topics hit close to home for many of you out there. If you’ve got a question on either topic, please leave them as comments on this post or, even more fun, record them and send the audio file to savvytechnologistpodcast (at) gmail (dot) com. (I’ll leave that email address as an exercise for the reader.) The podcast itself should appear in a week or so.