How 2 predict grades badly... from How 2 rob a bank

How 2 predict grades badly...

29 minutes Posted Oct 21, 2020 at 11:25 am.

– Introduction

– Initial thoughts

– Mistake #1 – Their approach

– Mistake #2 – Data leakage

– Mistake #3 – Emphasis on the rank

– Mistake #4 – Ignoring outliers

– Mistake # 5 – No peer review

– Mistake #6 – Too precise

Mistake #7 –Disregarded unconscious bias.

– Mistake #8: Education system in the UK.

– Ofqual considered edge cases – (almost a positive thing!)

– How we might have handled this situation

– Another example of algorithmic bias – Accounting system the Post Office used.

– Challenge: “Prison Break”. This based on “Liar’s paradox” attributed to Epimenides (amongst many other philosophers). For more challenges, presented in a more visual manner, check out our Instagram.

– Anecdotes of experiencing bias from teachers.

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Show notes

Zoey and Bia discuss some of the mistakes that Ofqual made in their algorithm, how using “complicated” maths is not necessarily better, and share some anecdotes of their experiences with teachers and dealing with (un)conscious bias.

Timestamps

Useful links:

Ofqual’s report

Bristol University's study on unconscious bias - http://www.bris.ac.uk/media-library/sites/cmpo/migrated/documents/wp221.pdf

Tom SF Haines’ post (Lecturer in Machine Learning at Bath University) - http://thaines.com/post/alevels2020

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