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Utilising machine learning techniques this paper demonstrates that the best model utilises three indicators relating to applications staffing and finance. The paper concludes that the ability of data to predict the outcome of QAA reviews and hence help prioritise them is extremely limited

 

This paper was presented at EQAF and reflects the views of the named authors only.

Utilising machine learning techniques this paper demonstrates that the best model utilises three indicators relating to applications staffing and finance. The paper concludes that the ability of data to predict the outcome of QAA reviews and hence help prioritise them is extremely limited

 

This paper was presented at EQAF and reflects the views of the named authors only.

Zen and the art of risk assessment: what are the implications of a system of risk-based quality assurance for higher education in England?

Alex Griffiths, Elizabeth Halford

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