Not exact matches
More specifically, observers in states in which
teacher evaluation ratings include five versus four
rating categories
differentiate teachers more, but still do so along the top three
ratings, which still does not solve the negative skew at issue (i.e., «too many»
teachers still scoring «too well»).
Related, Kraft and Gilmour found that «some new
teacher evaluation systems do
differentiate among
teachers, but most only do so at the top of the
ratings spectrum» (p. 10).
Proponents note that at least under the new
evaluations,
teachers are more
differentiated: Excellent
teachers can now be rewarded with distinguished
ratings, rather than being grouped with those who are average, for example.
[3] To further increase the utility and validity of
evaluation systems, states should require that
evaluation instruments
differentiate among various levels of
teacher performance rather than only giving binary satisfactory / unsatisfactory
ratings.
For example, section (D)(2)(ii) of the Race to the Top application (U.S. Department of Education, 2009) asks states to «design and implement rigorous, transparent, and fair
evaluation systems for
teachers and principals that...
differentiate effectiveness using multiple
rating categories that take into account data on student growth... as a significant factor» (p. 34).
Policy Points also reveals that 38 states use at least four
rating levels to
differentiate teacher performance, and just over a dozen states base 50 percent or more of a
teacher's
evaluation on student learning data.
To ensure that the
evaluation instrument accurately
differentiates among levels of
teacher performance, Pennsylvania should require districts to utilize multiple
rating categories, such as highly effective, effective, needs improvement and ineffective.
ASCD's newest issue of Policy Points (PDF) also reveals that 38 states use at least four
rating levels to
differentiate teacher performance, and just over a dozen states base 50 percent or more of a
teacher's
evaluation on student learning data.