The Problem of Human Investment in Educational Policy for the Disabled
Educational policy is determined by return of investment. This makes sense, since economics and resource distribution are involved, determining where these resources will produce the most profit is important in determining where to invest the money. Educational budget cuts add to this, making it necessary to determine what programs can be cut and where money should be spent. Educational investment is no different than business investment. Budgets have to be met and risks justified; the greater the risk, the greater you return of investment (ROI) needs to be to justify this risk. For those who don’t know, ROI is calculated using a metric that subtracts the cost of the investment from the gain of the investment, and then dividing that number by the investment cost.
How might “gain” (think of this as profit) be calculated in education, as educational models should not be warehouses of monetary profit for the investors? Profit must be calculated as something known as “human investment”, which can be calculated by how much growth effect is produced in each student in whom the investment of resources is made. This can be done by measuring a specific skill set, cognitive or academic, charting the growth trajectory and estimating its growth rate. Unfortunately, educational policy can take on a slightly different measurement, and return is determined by two factors: what economic contribution a student will have on society upon completion of the academic program and how much increase is seen in intelligence levels.
While this may seem like a proper plan from a business angle, it serves as a poor evaluation system for determining the efficacy of an educational policy. While this is true for the whole of the global student base, the focus of this post will be on how well this system works for students with disabilities.
An obvious place to start is the economic contribution a student with disabilities will have to his society upon completion of his academic program. A 2015 census in the US1 showed that the unemployment rate for those with disabilities was twice as much as for those without a disability. It is important to remember that ‘unemployment’ only includes those who are able to work and want to, but cannot find a job. That percentage does not include those with disabilities that prohibit them from finding and maintaining a job. Statistically, those with disabilities work less hours and earn lower wages that their able bodied counterparts1. This puts a disabled person at an immediate disadvantage due to statistics (Statistics that are very generalized at that, not identifying percentages for each different disability level but lumping all levels together, including those who are under 16 and over 65.) It is a true fact that, as a generalized whole, those with disabilities will contribute less fiscally to a society. It is also true that the society will instead need to fiscally support them (or should). Because of this, students with disabilities fail the efficacy test, and as a result, it appears to be a foolish waste of resources to focus scarce resources to implement an educational intervention to increase the intelligence level of the disabled population. Resources are spent to ensure that students with disabilities are included in education, as this has been determined to be a basic human right, but resources are not spent to make sure they excel.
Then we move on to measuring the amount of increase that occurs in the level of a student’s intelligence, after an educational policy, program, method, or intervention is implemented. This sounds rather fair and non-discriminatory at first glance, right? The problem is that they take a very complex thing like intelligence and put it into a formula that does not consider all of the factors that contribute to intelligence advancement. Factors like environment, parent resources, opportunity, quality of education, and disability interventions. It also doesn’t consider the differences that exist in the brain that contribute to how responsive it will be to what was implemented. This includes the important aspects of neuroscience, such as plasticity, neural development, activation of neurotransmitters, and the role of sensory processing and regulation in cognitive advancement, just to name a few. Instead, all students are lumped together, not individualized, and the many variables that will affect their results are not considered. All students are determined to need the same resources to achieve the same level of advancement, and are measured based on this concept. Foolishness, and I think this comic strip says it well:
In summary, the system looks at numbers that are generated and if the numbers show a high enough return, the financial investment is made. As you can see, this numbers crunching keeps the educational system pursuing a defective goal and from making the best investment choices with a limited budget. But what if the end goal was changed and future economic contribution was replaced with growth toward personal potential? What if we determined human investment by whether or not we could progress a child, not whether or not the child can progress society? What if we changed our definition of success in learning to actually reflect learning success? We can start by assessing whether each child has the right sized boxes to have an equal vantage point with their peers, before we start measuring their ability to look over the wall.
1. Statistics taken from https://www.bls.gov/news.release/disabl.nr0.htm
For a great read on this subject, check out: Howard-Jones, P.A., et al., The timing of educational investment: A neuroscientific perspective. Dev. Cogn. Neurosci. (2011), doi:10.1016/j.dcn.2011.11.002