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Exemplars, feedback and bias: How do computers make evaluative judgements?

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posted on 2018-01-01, 00:00 authored by Phillip DawsonPhillip Dawson
© 2018 selection and editorial matter, David Boud, Rola Ajjawi, Phillip Dawson and Joanna Tai. Computers make judgements about quality all the time - for example, automated essay-scoring systems judge students’ written work, and Google’s PageRank algorithm decides which websites are of high quality. This chapter examines what has been learnt by artificial intelligence researchers in building systems to make evaluative judgements, and applies it to improving student evaluative judgement. The chapter focuses particularly on how machine-learning approaches use exemplars to learn about quality, and how these inductive approaches can lead to bias.

History

Title of book

Developing evaluative judgement in higher education : assessment for knowing and producing quality work

Chapter number

10

Pagination

99 - 107

Publisher

Routledge

Place of publication

Abingdon, Eng.

ISBN-13

9781138089341

Language

eng

Publication classification

B1 Book chapter

Extent

19

Editor/Contributor(s)

D Boud, R Ajjawi, P Dawson, J Tai

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