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In 2020 the use of algorithms to replace exams to determine results hit the headlines when it was shown that they penalised students from state schools and low income postcodes. Although the algorithm was blamed as having made an error, in actual fact it was the design of the prediction model and the data which it used which caused the bias – and these are due to decisions made by humans on how they should be used.
Although the decision was reversed, algorithms have been and are being used to predict and award grades in a variety of different ways and countries, with some examples of how students from minority and underprivileged backgrounds are under-predicted.
Flawed Algorithms Are Grading Millions of Students’ EssaysFooled by gibberish and highly susceptible to human bias, automated essay-scoring systems are being increasingly adopted, a Motherboard investigation has found Automated essay…
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Student Predictions & Protections: Algorithm Bias in AI-Based Learning – Illuminate EducationLike it or not, predictive technology is coming for all of us. Over the last few years, private industry…
Inbuilt biases and the problem of algorithms | LettersLetters: The formula used to determine A-level results did not adhere to ethical principles, write a group of academics, while Dr John…
Algorithms can drive inequality. Just look at Britain’s school exam chaos Philip blames an algorithm for potentially losing his place to study law at university. The 18-year-old, whose full name…
Postcode or performance: How the A Level results of 2020 exposed a broken systemStudents should not have to pay for mistakes made by a government incapable of understanding what the…
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