Can a Few Years¡¯ Data Reveal Bad Teachers?
With years of data, it seems possible to distinguish good teachers from poor ones. Does that indicate that, after collecting two or three years¡¯ data on each new hire, districts should be using test scores for decisions about firings, tenure and pay?
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* The Value of Test Scores
Like batting averages in baseball, value-added data can be a useful statistic even though it¡¯s not perfect.
* Let's Not Rush Into Value-Added Evaluations
Some teachers are ineffective at first but improve as they age, while others start strong but then burn out.
* Test Scores Are Only a Snapshot
Teachers need to be held accountable for 180 days of teaching, not for the one day students were tested.
* We Know Which Teachers to Fire
The ability to discern good teachers from bad must be accompanied by the power to push out the bad.
* Results Are In; How Will We Respond?
Good teachers get good results. But African-American, Latino and low-income students are far less likely to have access to the best teachers.
* Use the Data, but Constructively
Teachers have always intuitively known that what we do has far-reaching impact. Performance measures should help us to do more and better.