Critical analysis of a higher education benchmark via fuzzy logic

ABSTRACT A graduate profile benchmark developed by a higher education organisation is subject to scrutiny. This occurs through the numerical parameterisation of text collected through surveys and the use of basic concepts drawn from Information Technology. The process uses data processing, analysis and evaluation to show the degree to which established an academic practice at the host institution correlates to pre-conceived professional outputs. The paper discusses standard practices including traditional and innovative teaching methods, in the light of achieved results. To conclude that postgraduate students require further engagement with the industry and exposure to the public whilst showing that the scientific and technical components of the subject courses are highly rated by stakeholders. Mitigation measures for the identified gaps include further curriculum development and inter-disciplinary work, reinforced with industrial liaison plus engagement with learned organisations and the public, via educational enhancement activities