Does Evaluation Change Teacher Effort and Performance? Quasi-Experimental Evidence from a Policy of Retesting Students

2020 ◽  
pp. 1-45
Author(s):  
Esteban Aucejo ◽  
Teresa Romano ◽  
Eric S. Taylor

We document measurable, lasting gains in student achievement caused by a change in teachers' evaluation incentives. A short-lived rule created a discontinuity in teachers' incentives when allocating effort across their assigned students: students who failed an initial end-of-year test were retested a few weeks later, and then only the higher of the two scores was used when calculating the teacher's evaluation score. One year later, long after the discontinuity in incentives had ended, retested students scored 0.03σ higher than non-retested students. Otherwise identical students were treated differently by teachers because of evaluation incentives, despite arguably equal returns to teacher effort.

2020 ◽  
Vol 15 (4) ◽  
pp. 623-647 ◽  
Author(s):  
Peter Bergman

As schools are making significant investments in education technologies it is important to assess whether various products are adopted by their end users and whether they are effective as used. This paper studies the adoption and ability to promote usage of one type of technology that is increasingly ubiquitous: school-to-parent communication technologies. Analyzing usage data from a Learning Management System across several hundred schools and then conducting a two-stage experiment across fifty-nine schools to nudge the use of this technology by families, I find that 57 percent of families ever use it, and adoption correlates strongly with measures of income and student achievement. Although a simple nudge increases usage and modestly improves student achievement, without more significant intervention to encourage usage by disadvantaged families, these technologies may exacerbate gaps in information access across income and performance levels.


2017 ◽  
Vol 17 (3) ◽  
Author(s):  
David Kiss

AbstractThis paper presents a small theoretical model to compare school systems that segregate students by ability (“tracking”) with comprehensive ones, which allow for mixing of differently skilled students into same classes. The outcomes of interest are the achievement levels of weaker and better students, and the average achievement of all students. In the model, the instructional pace is tailored to the skill distribution of a class, and higher-achieving peers are an additional source of learning. The results show that differences in both the share of high-achievers and degree of interaction between student types can explain the mixed (quasi-)experimental evidence on the effect of de-tracking on student achievement. As changes in peer quality affect good and weak students’ achievement in very different ways, the term “peer effect” should be used with caution.


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