The NYC merit pay program focused on motivating existing teachers to work hard to boost student scores, but what if we shift the focus to motivating existing hard workers to lend their efforts to same goal? This would more closely resemble the national strategies of top-performing Finland, Singapore, and South Korea. McKinsey&Company, another research company, recently released the report of their comprehensive study of what factors might motivate current teachers and top college grads to teach in high-needs schools.
Much has been made of this study, and the reports and commentaries I had read focused heavily on radically increasing (essentially doubling) teacher pay in order to draw top students into teaching, especially in high-needs schools. However, the study itself does not suggest that increasing teacher salary is the only, or even necessarily the most effective strategy to provide the highest-need students with top-tier teachers. In fact, the results of the study imply that the most effective progress could be made by combining a few different strategies targeted to different populations.
Salary increases were especially motivating for top grads in Science, Technology, Engineering, and Math (STEM) who expect to take their pick from a range of well-paid career options. Salary also motivated top college grads, but the study found that simply marketing teaching careers to college students and providing drastically better training for entering teachers would go a long way toward motivating top grads to pursue teaching careers.
The one group not very motivated by salary increases was current teachers. These folks, who had already spent a few years working in the system, placed more value on good working conditions, professional development, and excellent school leadership. The fabulous news here is that all three of these indicators also independently raise student performance, and all three can be achieved by simply attracting excellent school leadership to work in the highest need schools. The McKinsey report proposed several different "scenarios" to attract top-tier teachers, but by focusing on independent variables instead of combined effects they missed this simplest one.
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