The Unfairness of Measuring Teaching Performance – Revisited

A women of a minority group teaching at a whiteboard
A survey of student evaluations of teaching shows that men rate higher.

Last year I posted an article on The Unfairness of Measuring Teaching Performance concerning anonymous student comments that said that the teacher was “too old” [1]. An article¬†published on the online site Phys.org [2] found that male teachers were most likely to be evaluated the highest by students and female teachers from a non-English background the lowest. Further, the bias showed up most in student surveys in Science and Business and was largely absent from students surveys from Engineering and other disciplines.

This study was based upon 500,000 student surveys of teaching at the University of NSW, Sydney between 2010 and 2016. It involved more than 3000 teachers over 2000 courses. across 5 Faculties.

In my previous article, I strongly supported teaching surveys as a tool for professional teacher development using tailored questions that are teacher selectable. It was my belief that problems arise because of

… the impersonal nature of the survey, as well as the fact that it is exclusively university, administered, that is the heart of the problem.

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The Dossier: Highlights 2018

When I started writing the Dossier at the end of July, I was still dealing with issues around job loss and finding a new direction. I wrote about some of this in the article: Job Loss and Sense of Purpose, getting that off my chest was a positive step forward for me. I’d like to thank Jo Stanley for her kind reply: my post was a response to a newspaper article that she had written about similar events in her own life.

I started to gain some sense of purpose which I wrote about with An Epiphany or Two, of Sorts which is primarily an appeal for online learning systems to be more personalised. The observation was that the area of online learning is dominated by institutionally-centralised learning management systems (LMSs) that suit a formal learning setting but aren’t necessarily well-suited to more personal and decentralised learning. In August requested support to get such a project off the ground This request is reproduced again below.


Support me in Developing a Device-centric Personal Learning System.

Develop and build the components of a personal learning system using Django for the back-end and Electron for multi-platform front-end support. Support is requested, in the first instance, for community-based proof of concept.

$25.00

Continue reading “The Dossier: Highlights 2018”