Archive for the 'Data' Category

Word of the Week: Community

Wednesday, March 18th, 2009

The word of the week is community.

It’s a word I’ve been thinking about a lot lately, as I’ve been doing a lot of leaning on my own community over the past few weeks. I’ve also been thinking about how new technologies and changes in society affect our idea of community.

Today is Wednesday. Since last Wednesday, I…

  • attended a Bris for my cousin’s son.
  • ended my 30-day mourning period for my mother.
  • participated in a live reading of The Comedy of Errors with a group I found online.
  • reconnected via e-mail with a close childhood friend I lost touch with 15 years ago.
  • participated in a learning community seminar about 21rst century schools with my work colleagues.
  • was called for an aliyah at the Bar Mitzvah of another cousin’s son.
  • visited my sister in the hospital and held my 10-hour-old niece.
  • conducted a day-long data workshop that helped a school identify a pervasive student learning problem.
  • began teaching The Merchant of Venice to an 8th-grade class who will be creating a video project based on the play.
  • joined Facebook.
  • was invited to present at a conference at the Folger on teaching Shakespeare in the elementary school.
  • participated in a webinar, cosponsored by the Folger and PBS, that brought together 176 Shakespeare teachers from across the country.

Traditional community structures such as family, school, religion, and professional networks are supplemented and even augmented (though never replaced) by technology and an increased focus on interconnectivity and collaboration. What I learned this week, though, is that there’s no substitute for being there in person.

Welcome to the world, Elena. You have big shoes to fill.

Using Data

Tuesday, December 16th, 2008

Yesterday, I gave a workshop for teachers on using data to improve student achievement. This is something that is going to become an increasing part of my work, so I may be blogging about it from time to time. The idea is to cull information about students from a variety of sources, systematically analyze that information in order to identify areas of improvement, and then create an action plan for targeting those areas.

In some cases, the results of careful data analysis can be surprising. So often we jump to conclusions about why students aren’t achieving, or we depend on underlying assumptions that may be based on our own pre-conceived notions. Consider for a moment this piece of student work:

Laugh if you must, but it’s easy to get the wrong idea from only a cursory examination. Further investigation revealed that the child’s mother works at Home Depot, and is here depicted selling snow shovels. And if you only relied on your initial observations and didn’t investigate further, you could be lead astray.

Hopefully, the systematic use of data will allow us to avoid such snap judgements and take a more scientific approach to improving student achievement.