Equal opportunity is kind of the endgame in education policy. That is, school systems should provide all students, regardless of their backgrounds or economic circumstances, with what they need to achieve minimum acceptable outcome levels. 

School funding is a huge factor in the equal opportunity realm, given that virtually all effective education policies require investment. From the finance perspective, states can achieve equal opportunity by allocating funds such that districts with higher costs—e.g., those serving higher-poverty populations—have enough to pay those costs (primarily by using state funds to help districts with less capacity to raise funds locally). In other words, the job of states is to ensure that funding is adequate in all districts.

What we’ve found in the School Finance Indicators Database (SFID), in short, is that there is plenty of educational opportunity in the U.S., but it’s not equal. Let’s quickly visualize some of our SFID data and see how that’s the case.

As I discussed in a previous post, one of the most controversial approaches to school discipline in the U.S. is the use of zero-tolerance policies. These policies include exclusionary practices, such as office referrals and suspension, which remove students from their classroom and isolate them from the school community. Zero tolerance policies in schools have been shown to have a detrimental effect on all students, particularly Black and Brown students. Skiba et al (2011), for instance, wrote about how these punitive methods cause students to miss critical instructional time and feel less connected to their teachers and peers. 

Zero tolerance policies are embedded in high-stakes accountability structures. As White (2020) states, these policies overly focus on student behavior and the idea that individual hard work is the best way to promote high test scores. They do not foster a sense of community- and relationship- building. While policymakers had positive intentions in promoting a more rigorous and equalitarian experience for students—laying out each infraction and punishment with the intention of applying discipline uniformly across student groups—that is not what has happened. According to the aforementioned research, Black and Brown students were still punished more harshly for the same infractions than were their peers. Thus, the negative consequences of these policies have far outweighed the benefits. 

Many schools are implementing alternative methods of discipline that stress the importance of taking proactive measures to reduce exclusionary practices. In the previous post, I focused on the importance of restorative justice policies as a strong strategy to support children and their development. But there are also multiple alternative models that have been shown to be effective among students of varying ages and demographics. These models focus on relationship development, and staff training, which I will discuss below. Specifically, the three other models include: School Wide Positive Behavior Support (SWPBS), Monarch Room, and Inclusive Skill-Building Learning Approach (ISLA). In short, the idea that zero tolerance is the only approach is unsupportable.

Over the past 20 years, public schools in the U.S. have come to rely more and more on standardized tests, and the COVID-19 pandemic has halted the flow of these data. This is hardly among the most important disruptions that teachers, parents, and students have endured over the past year or so. But one of the corollaries of skipping a year (or more) of testing is its implications for estimating growth models, which are statistical approaches for assessing the association between students' testing progress and those students' teachers, schools, or districts. 

This type of information, used properly, is always potentially useful, but it may be particularly timely right now, as we seek to understand how the COVID-19 pandemic affected educational outcomes, and, perhaps, how those outcomes varied by different peri-pandemic approaches to schooling. This includes the extent to which there were meaningful differences by student subgroup (e.g., low-income students who may have had more issues with virtual schooling). 

To be clear, the question of when states should resume testing should be evaluated based on what’s best for schools and students, and in my view this decision should not include consideration of any impact on accountability systems (the latest development is that states will not be allowed to cancel testing entirely but may be allowed to curtail it). In either case, though, the fate of growth models over the next couple of years is highly uncertain. The models rely on tracking student test scores over time, and so skipping a year (and maybe even more) is obviously a potential problem. A new working paper takes a first step toward assessing the short-term feasibility of growth estimates (specifically school and district scores). But this analysis also provides a good context for a deeper discussion of how we use (and sometimes misuse) testing data in education policy.

The fact that school districts vary widely in terms of funding is often lamented in our education policy debate. If you think about it, though, that’s not a bad thing by itself. In fact, in an ideal school funding system, we would expect to see differences between districts in their spending levels, even big differences, for the simple reason that the cost of educating students varies a great deal across districts (e.g., different student populations, variation in labor costs, etc.). 

The key question is whether districts have the resources to meet their students’ needs. In other words, is school district spending adequate? In collaboration with Bruce Baker and Mark Weber from Rutgers University, we have just published a research brief and new public dataset that addresses this question for over 12,000 public school districts in the U.S.

There is good news and bad news. The good news is that thousands of districts enjoy funding levels above and beyond our estimates of adequate levels, in some cases two or three times higher. The bad news is that these well-funded districts co-exist with thousands of other school systems, some located within driving distance or even in the next town over, where investment is so poorly aligned with need that funding levels are a fraction of estimated costs. To give a rough sense of the magnitude of the underfunding, if we add up all the negative funding gaps in these latter districts (not counting the districts with adequate funding), the total is $104 billion.