For the past three months, I’ve been writing about organizational goal-setting. In Part I of the series, I proposed four conditions that organizations should understand prior to setting a goal. In Part II, I introduced the idea of “arbitrary and capricious” education goals and key data analysis lessons 1-5 . In this installment, I’ll outline key lessons 6-10 and then tie up the series in Part IV with an applied example from United Schools Network.
Read MoreLast month, I discussed the difference between information and knowledge by analogizing the two concepts to data ponds (information) and data streams (knowledge). A key idea in the transformation of information to knowledge is adding the element of time and visualizing the data in a tool called a process behavior chart. Part of the power of the process behavior chart (PBC) is its ability to filter out the noise in our data; the idea of filtering out data “noise” is the focus of this post.
Read MoreAs schools consider how to restart in the fall, some are galvanizing their community to consider this an opportunity for reinvention, a way to rethink how we educate our young, while others simply want to get students back in the building and return as quickly and safely as possible to the normal that existed prior to the pandemic. Regardless of a school’s position on the spectrum from restart to reinvention, a more sophisticated manner in which to analyze student engagement and track efforts to improve engagement will be necessary.
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