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What about taking into account each student's performance in the class? In other words, partition the evaluations into sets based on the students' performance.
by breen 12y ago
What about taking into account each student's performance in the class? In other words, partition the evaluations into sets based on the students' performance. Then you'd end up with a spectrum of instructor ratings, from F to A, not an average.
If the institution wants to make a choice of instructors for an introductory course, they might want to select the instructor with the higher low-grade rating. The intuition here is that well-performing students in an introductory course might have prior knowledge, so their ratings add noise.
If the institution wants to compare two instructors overall, they can compare their spectra after subtracting the skew that results from low-performers evaluating poorly and high-performers evaluating highly. What remains is some picture of how the instructor handles students of different strengths and weaknesses, which (I think) is the best measure of a teacher.
- watwut 12y ago"If the institution wants to make a choice of instructors for an introductory course, they might want to select the instructor with the higher low-grade rating. The intuition here is that well-performing students in an introductory course might have prior knowledge, so their ratings add noise." The complain in the article is that with exception of well-performing students, students rating does not measure how much they learned (measured be their performance in subsequent courses). Lower performing students tend to give lower marks to those teachers that pushed them to learn more. Your plan maximizes satisfaction of low performing students in introductory course. It does not maximizes how much they will learn, quite the opposite. University should strive for the best teaching, not for the highest immediate satisfaction. It has importance too, but should not be more important then actual learning.