publication . Report . Preprint . 2007

Evaluating Methods for Evaluating Instruction: The Case of Higher Education

Bruce A. Weinberg; Belton M. Fleisher; Masanori Hashimoto;
Open Access
  • Published: 01 Jan 2007
  • Publisher: National Bureau of Economic Research
Abstract
This paper develops an original measure of learning in higher education, based on grades in subsequent courses. Using this measure of learning, this paper shows that student evaluations are positively related to current grades but unrelated to learning once current grades are controlled. It offers evidence that the weak relationship between learning and student evaluations arises, in part, because students are unaware of how much they have learned in a course. The paper concludes with a discussion of easily-implemented, optimal methods for evaluating teaching.
Subjects
ACM Computing Classification System: ComputingMilieux_COMPUTERSANDEDUCATION
free text keywords: jel:A2, jel:I2, jel:J24

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Abstract
This paper develops an original measure of learning in higher education, based on grades in subsequent courses. Using this measure of learning, this paper shows that student evaluations are positively related to current grades but unrelated to learning once current grades are controlled. It offers evidence that the weak relationship between learning and student evaluations arises, in part, because students are unaware of how much they have learned in a course. The paper concludes with a discussion of easily-implemented, optimal methods for evaluating teaching.
Subjects
ACM Computing Classification System: ComputingMilieux_COMPUTERSANDEDUCATION
free text keywords: jel:A2, jel:I2, jel:J24

00 trsn .17 0

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