What happens when AI is used to set students' grades?

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The process is generally considered to be a rigorous and well-regarded assessment protocol. The IBO has collected a substantial amount of data about each subject and school - hundreds of thousands of data points, in some cases going back over 50 years. Significantly, the relationship between predicted and final grades has been tight. At leading IB schools, over 90 per cent of grades have been equal to predicted; over 95 per cent of total scores have been within a point from that predicted.

One critical and practical question has been consistently raised by frustrated students and parents: How can they appeal the grades? From the outside, it looks as though the IBO may have simply plugged the AI into the IB system to replace the exams and then assumed that the rest of the system - in particular the appeals process - could work as before.

So what the IBO could have done was offer appellants the right to a human-led re-evaluation of anomalous grades, specify the input data the appeal panel would look at in re-analysing the case, and say how the problem would be fixed. In contrast, if the problem is linked to factors specific to the student, then the analysis would focus on identifying why the AI produced an anomalous outcome for that student and, if needed, re-score that student and any other student whose grades were affected the same way.

 

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