There truly is no such thing as Artificial Intelligence. But, but ChatGPT, you cry! But self-driving cars! But The Algorithm! None of these are even close to intelligent. But how do we know?
Artificial Intelligence is not the problem. It’s our education system that needs to become intelligent, and fit for purpose at last. ChatGPT could be the kick that we've been waiting for - an impetus that could propel us into a more engaging, useful, and valid form of education.
In the absence of any meaningful government action, though, it's up to us to take it seriously. But every time we talk about the pandemic in the past tense, we make ourselves feel a little safer. A little more complacent. A little less likely to take care.
Assessment is all down to this simple number. Objectivity guaranteed. But if there is a correlation between socioeconomic status… if girls are driven out of particular subjects by the perception that they are not suited to them… if rural kids don’t have access to the same range of subjects… if some schools don’t have great teachers or support structures… then what we have is the pretence of objectivity and fairness, rather than actual objectivity and fairness.
It doesn’t matter what technology you teach, when you’re teaching Data Science. I don’t care whether you use Python, R, spreadsheets, or stacking blocks to make graphs and analyse your data. What matters, above all else, is that you teach your students to ask critical questions about the data. How was it collected? What are the definitions you used? How do we know the definitions are valid? What other definitions could we use, and how would that change the data?