Pricing Education: A Worksheet
Not too many years ago, someone respectable described to me K-12 education in the United States as "glorified daycare" and regardless of my own opinions on the matter, the concept stuck in my mind and has been bothering me ever since.
A LinkedIn post on the unaffordability of childcare (again, in the United States) finally made me look up and work out some numbers... In what follows, I assume that we are looking to cover a child's complete upbringing, starting from daycare through high school (age 18); I am looking to find the discretionary cost of bringing up a newborn into an adult, that is the incremental cost that would allow parents to have a full-time job without sacrificing the quality of their child's upbringing.
Bottom-Up Calculations
Starting at birth, for a single child:
Total child bringup cost: 3 FTAY.
Let's assume one FTAY ranges from $80K to $160K: California average salary is around $90K, per CSBA, and that translates to $120K average yearly cost to the employer if we consider various benefits and taxes. We can conclude that child upbringing (0-18) that allows parents to have a full-time job and not feel like they are depriving their child has direct human cost of around $360K, or $20K/year/child. Note that we did not account for overhead (buildings, management, governance, etc.) which can be expected to easily bring the number into the $30-$40K range.
Top-Down Calculations
Consider reported California state spending per child: about $23K yearly per pupil for K-12 children according to the 2021-22 budget act (source). According to the same page, total spending is about $124B, which implies a student population of about 5.5M. There are two implications:
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Next, the talent pipeline:
A Second Look at the First Years
Those who read the above carefully will notice that I cheated and bundled two separate issues together. In my model, the first three years contribute to the cost disproportionately (at least a whole 1 FTAY). One could argue that since the system is not trying to cover years 0-5, we should exclude them in order to have a more clear argument. This has two implications:
I suspect both gaps above are partly due to the highly varied expectations that the public has in a place such as California regarding spending, quality, and overall philosophy of child upbringing (in other words, my personal model for how this should work is irrelevant). There are countries where there is a more consistent, shared understanding about how children need to be educated (in the broadest sense of the word).
Opportunity for AI?
My intuition, observations, as well as the above numbers suggest that the gaps between my (subjective) "ideal" budget on the one hand, and the one afforded by the state on the other, are in practice bridged by stretched student to teacher ratios. For example, classrooms I have had direct visibility into lean towards a 1:25 ratio rather than the 1:15 we used above.
For the sake of argument, let's consider the current budget immutable (since spending more or less money is always a politically charged topic). I also do not anticipate that in the foreseeable future AI will excel at bonding with humans and being a steady, trustworthy presence that helps children orient themselves and mature as they grow up.
The opportunity at hand is to delegate the academic part of the upbringing process to machines: with strides being made in training AI models that exhibit reasoning capabilities, I anticipate that one out of the three FTAY budgeted earlier (the 15 students for 15 years academic teaching segment) can be automated; this in turn would make the overall current budget satisfactory as long as the automation has a low, amortized up-front cost and low marginal cost per student. The risk of course is that instead of leading to improvements in quality, a shift like this will be seen as a way to cut total state spending back down ??.
ML Engg. | Stanford | IIT Gandhinagar
11 个月I think inspiring students and / or generating curiosity in them, is the only way to get them truly interested in learning something. Those students who are inspired / curious, find ways to access information, get their questions answered etc. And those who are not inspired / curious, no amount of tools / software generally helps. So IMO the key to learning is inspiration and curiosity. Forget AI, it is hard to find inspirational teachers even among humans ??