Last week we posted about the release of teacher rankings in New York City. There have been several pieces that were worthy of sharing that have come out since.
The first comes from Julie Cavanagh, a NYC teacher who was rated highly by this scale. While she rates in the 95th percentile, she sees the folly of using such measures to rate teachers.
Linda Darling-Hammond looks at the issue from the perspective of Pascale Mauclair, the teacher who was singled out to be the worst teacher in NYC based on these rankings. Ms. Darling-Hammond writes that the principal of the school backs the teacher and that Ms. Mauclair has received high ratings in her evaluations. What seems to continue to be dismissed is:
Others feel that the release of the data will ultimately undo the plans of ed "reformers" like Bill Gates and Michelle Rhee. This article shows graphically how this data cannot show that an educator will be consistently good or bad. Pretty heavy math, but a could plain English explanation.
The first comes from Julie Cavanagh, a NYC teacher who was rated highly by this scale. While she rates in the 95th percentile, she sees the folly of using such measures to rate teachers.
Linda Darling-Hammond looks at the issue from the perspective of Pascale Mauclair, the teacher who was singled out to be the worst teacher in NYC based on these rankings. Ms. Darling-Hammond writes that the principal of the school backs the teacher and that Ms. Mauclair has received high ratings in her evaluations. What seems to continue to be dismissed is:
"Most troubling is that the city released the scores while warning that huge margins of error surround the ratings: more than 30 percentile points in math and more than 50 percentile points in English language arts."That is the the problem with releasing such complex data without the proper context being provided and a layman's explanation of the data and formulas.
Others feel that the release of the data will ultimately undo the plans of ed "reformers" like Bill Gates and Michelle Rhee. This article shows graphically how this data cannot show that an educator will be consistently good or bad. Pretty heavy math, but a could plain English explanation.
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