Tutoring is certainly in the news these days. The December 30 Washington Post asked its journalists to predict what the top policy issues will be for the coming year. In education, Laura Meckler focused her entire prediction on just one issue: Tutoring. In an NPR interview (Kelly, 2020) with John King, U. S. Secretary of Education at the end of the Obama Administration and now President of Education Trust, the topic was how to overcome the losses students are certain to have sustained due to Covid-19 school closures. Dr. King emphasized tutoring, based on its strong evidence base. McKinsey (Dorn et al., 2020) did a report on early information on how much students have lost due to the school closures and what to do about it. “What to do” primarily boiled down to tutoring. Earlier articles in Education Week (e.g., Sawchuk, 2020) have also emphasized tutoring as the leading solution. Two bills introduced in the Senate by Senator Coons (D-Delaware) proposed a major expansion of AmeriCorps, mostly to provide tutoring and school health aides to schools suffering from Covid-19 school closures.
All of this is heartening, but many of these same sources are warning that all this tutoring is going to be horrifically expensive and may not happen because we cannot afford it. However, most of these estimates are based on a single, highly atypical example. A Chicago study (Cook et al., 2015) of a Saga (or Match Education) math tutoring program for ninth graders estimated a per-pupil cost of one-to-two tutoring all year of $3,600 per student, with an estimate that at scale, the costs could be as low as $2,500 per student. Yet these estimates are unique to this single program in this single study. The McKinsey report applied the lower figure ($2,500 per student) to cost out tutoring for half of all 55 million students in grades k-12. They estimated an annual cost of $66 billion, just for math tutoring!
Our estimate is that the cost of a robust national tutoring plan would be more like $7.0 billion in 2021-2022. How could these estimates be so different? First, the Saga study was designed as a one-off demonstration that disadvantaged students in high school could still succeed in math. No one expected that Saga Math could be replicated at a per-pupil cost of $3,600 (or $2,500). In fact, a much less expensive form of Saga Math is currently being disseminated. In fact, there are dozens of cost-effective tutoring programs widely used and evaluated since the 1980s in elementary reading and math. One is our own Tutoring With the Lightning Squad (Madden & Slavin, 2017), which provides tutors in reading for groups of four students and costs about $700 per student per year. There are many proven small-group tutoring programs known to make a substantial difference in reading or math performance, (see Neitzel et al., in press; Nickow et al., 2020; Pellegrini et al., in press). These programs, most of which use teaching assistants as tutors, cost more like $1,500 per student, on average, based on the average cost of five tutoring programs used in Baltimore elementary schools (Tutoring With the Lightning Squad, Reading Partners, mClass Tutoring, Literacy Lab, and Springboard).
Further, it is preposterous to expect to serve 27.5 million students (half of all students in k-12) all in one year. At 40 students per tutor, this would require hiring 687,500 tutors!
Our proposal (Slavin et al., 2020) for a National Tutoring Corps proposes hiring 100,000 tutors by September, 2021, to provide proven one-to-one or (mostly) one-to-small group tutoring programs to about 4 million grade 1 to 9 students in Title I schools. This number of tutors would serve about 21% of Title I students in these grades in 2021-2022, at a cost of roughly $7.0 billion (including administrative costs, development, evaluation, and so on). This is less than what the government of England is spending right now on a national tutoring program, a total of £1 billion, which translates to $7.8 billion (accounting for the differences in population).
Our plan would gradually increase the numbers of tutors over time, so in later years costs could grow, but they would never surpass $10 billion, much less $66 billion just for math, as estimated by McKinsey.
In fact, even with all the money in the world, it would not be possible to hire, train, and deploy 687,500 tutors any time soon, at least not tutors using programs proven to work. The task before us is not to just throw tutors into schools to serve lots of kids. Instead, it should be to provide carefully selected tutors with extensive professional development and coaching to enable them to implement tutoring programs that have been proven to be effective in rigorous, usually randomized experiments. No purpose is served by deploying tutors in such large numbers so quickly that we’d have to make serious compromises with the amount and quality of training. Poorly-implemented tutoring would have minimal outcomes, at best.
I think anyone would agree that insisting on high quality at substantial scale, and then growing from success to success as tutoring organizations build capacity, is a better use of taxpayers’ money than starting too large and too fast, with unproven approaches.
The apparent enthusiasm for tutoring is wonderful. But misplaced dollars will not ensure the outcomes we so desperately need for so many students harmed by Covid-19 school closures. Let’s invest in a plan based on high-quality implementation of proven programs and then grow it as we learn more about what works and what scales in sustainable forms of tutoring.
Photo credit: Deeper Learning 4 All, (CC BY-NC 4.0)
Cook, P. J., et al. (2016) Not too late: Improving academic outcomes for disadvantaged youth. Available at https://www.ipr.northwestern.edu/documents/working-papers/2015/IPR-WP-15-01.pdf
Dorn, E., et al. (2020). Covid-19 and learning loss: Disparities grow and students need help. New York: McKinsey & Co.
Kelly, M. L. (2020, December 28). Schools face a massive challenge to make up for learning lost during the pandemic. National Public Radio.
Madden, N. A., & Slavin, R. E. (2017). Evaluations of technology-assisted small-group tutoring for struggling readers. Reading & Writing Quarterly: Overcoming Learning Difficulties, 33(4), 327–334. https://doi.org/10.1080/10573569.2016.1255577
Neitzel, A., Lake, C., Pellegrini, M., & Slavin, R. (in press). A synthesis of quantitative research on programs for struggling readers in elementary schools. Reading Research Quarterly.
Nickow, A. J., Oreopoulos, P., & Quan, V. (2020). The transformative potential of tutoring for pre-k to 12 learning outcomes: Lessons from randomized evaluations. Boston: Abdul Latif Poverty Action Lab.
Pellegrini, M., Neitzel, A., Lake, C., & Slavin, R. (in press). Effective programs in elementary mathematics: A best-evidence synthesis. AERA Open.
Sawchuk, S. (2020, August 26). Overcoming Covid-19 learning loss. Education Week 40(2), 6.
Slavin, R. E., Madden, N. A., Neitzel, A., & Lake, C. (2020). The National Tutoring Corps: Scaling up proven tutoring for struggling students. Baltimore: Johns Hopkins University, Center for Research and Reform in Education.
This blog was developed with support from Arnold Ventures. The views expressed here do not necessarily reflect those of Arnold Ventures.
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