According to ABS statistics, about 60 per cent of students in full-time tertiary education have jobs (this includes vocational and higher education). Their major occupations put them at elevated risk of catching infectious diseases and of losing hours or jobs due to the COVID-19 recession.
Exposure to disease
Because the census has detailed occupational information I am using it as my data source for jobs, even though it is now nearly four years old. The chart below shows the top 20 jobs for higher education students aged 30 or less who work part-time. The top 20 includes just over two-thirds of all employed students in this group.
As expected, student employment has a strong skew to occupations with large amounts of routine interaction with other people. Sales assistants are by far the largest single group. Waiters, bar attendants and baristas make up the next two largest groups. People in these occupations are all relatively likely to interact with someone with COVID-19, although if self-quarantine works not while that person is showing symptoms.
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In his multifaceted critique of higher education in The Australian yesterday, Adam Creighton makes one infrequently-made claim: that ‘grade inflation is rife’.
In Australia we often worry about soft marking at the pass-fail point, which Adam also mentions. But grade inflation controversies overseas are about too many students receiving high marks. In England, an increase in the proportion of students receiving first-class degrees from 16% in 2010-11 to 29% by 2017-18 has attracted the regulator’s attention. In the United States, critics complain that ‘A’ is the most popular grade.
Australian universities are not required to report student marks, and so we cannot conclusively confirm or reject the grade inflation hypothesis. But the figures we have do not look overly-skewed to the top.
In a paper looking at the relationship between ATAR and socioeconomic status, the NSW Universities Admission Centre earlier this year reported on first-year university grade point averages (GPA). They used a 7 point scale for their GPA.
The UAC’s main point is that ATAR rather than SES best predicts GPA. But it is striking that even the most able first-year students, coming into universities with ATARs of 90 or above, averaged less than a credit grade.Read More »
University finances have been in the news this year. As the travel ban on Chinese students was announced some very big financial costs were estimated – since moderated due to the third-country quarantine exception, but still estimated to be well over $1 billion, at least in temporary cash flow issues.
In worst-case COVID-19 scenarios there would be travel bans from many international student source countries, along with campus closures that could require refunds or compensating classes for affected domestic and international students.
While I doubt the worst-case scenario will become reality, the ‘rivers of gold’ era (as Simon Birmingham once described it) for university revenue is over.
Even before COVID-19 international student demand seemed to be softening, while remaining high by historical standards.
On top of this, all public universities are dealing with a decline in the real value of their bachelor-degree student funding, and some are struggling to maintain domestic student numbers due to soft demand.
Cutbacks have been reported at many universities including Wollongong, La Trobe, Sydney, Macquarie, Monash, and in the last day the University of Tasmania.
Fortunately, the universities that are most exposed to the China market are relatively wealthy. They should be able to deal with short-term liquidity issues from a mix of reduced and delayed spending, drawing on reserves and perhaps bank borrowing. But what if a university faces more serious difficulties?Read More »
In promoting the government’s international women’s day STEM announcement, science minister Karen Andrews is reported as stressing that ’75 per cent of the jobs in the fastest-growing industries need STEM skills’. This is a variant on a common claim. In the same article, it also appears as 75 per cent of all occupations, as it has here, here, here, here, here and in many other places. The industries version is less common but still a regular claim, for example here, here, and here.
The original source of this 75 per cent claim has always been hard to find. Some government documents cite this 2015 PwC report. But it does not have any data supporting this number, giving this 2011 article in the Journal of STEM Education as its source. Unfortunately the article does not substantiate the claim either, other than by pointing to this 2007 US Department of Education report. But the report does not mention the 75 per cent statistic at all, and so the trail goes cold.*
Even without checking the claim’s provenance it sounds suspect. How do we define fastest? Top 10, top 20, top half? It would be easy to manipulate the list to produce the desired result. And then there is the distinction between fastest growing (as a percentage of previous levels) and greatest growth (absolute numbers of jobs). Occupations can easily have very high percentage growth rates if they start from a low base, while in absolute terms adding many fewer jobs than larger occupational groups growing by a smaller annual percentage. Read More »
Last week the Department of Education issued a report on equity students enrolled in research higher degree programs. As those who have read my work over the years know, I think we have significant conceptual and empirical problems in measuring socioeconomic status in higher education. And these are even more significant for higher degree students than they are for undergraduates.
What this means is that even though the report’s overall conclusion, that high SES students are ‘over-represented’ in research degrees, must be true based on other empirical evidence and theory, its statement that ‘this data should … be used with caution’ is a warning that should be heeded.
Problem One: We are only using a geographic proxy indicator for SES, the ABS Index of Education and Occupation. A person is classified as low SES if they live in an area in which the population has relatively low levels of education and relatively high levels of people who are unemployed or work in lower-skill occupations. But people with high levels of education and with high skill jobs live in otherwise low SES areas, and vice-versa.
Problem Two: We define as low SES people living in the lowest 25 per cent of areas by the Index of Education and Occupation. That is too small a share – the next quartile up is sociologically similar.
Problem Three: For research students, are we interested in their current socioeconomic status or their background? Regardless of their background, if they already have a degree (which they almost certainly do if they are in a research degree) and work in a professional job, as is quite likely to to be the case, then they are not going to be classed as low SES by the standard bureaucratic measures. And if they have moved to study and/or to be closer to professional job markets, then they will probably live in high SES areas.Read More »
With the government now publishing data on students by funding cluster we can get a clearer idea of where Commonwealth Grant Scheme money goes.
My calculations are for 2018, and based on multiplying equivalent full-time student numbers in Commonwealth supported places by the relevant funding cluster rate. Due to the demand driven funding freeze and some universities over-enrolling allocated places the overall total exceeds what universities were actually paid. However, as it is usually not possible to specifically identify ‘over-enrolled’ students I am going to assume that this does not affect relativities between the clusters.
As the chart below shows the science, engineering and surveying funding cluster is by far the biggest recipient of Commonwealth funds, at $1.8 billion in 2018 (and this is missing the maths and statistics buried in another cluster). The health-related clusters between them received $1.6 billion, and this is also an under-count due to some health courses being in other clusters.
As is the case with public research spending, public tuition subsidies are skewed to STEM and health clusters. They have 32 per cent of EFTSL but 48 per cent of funding. The humanities, which are the subject of much of the controversy around higher education, received the least money of any cluster, $151 million in 2018. This is 2.1 per cent of the total.
However, it should be noted that other subjects typically taught in Arts faculties are in other funding clusters. For example, fields such as politics and sociology are in the second largest funding cluster by dollars (which also includes psychology, social work, and similar fields) and in the fourth largest funding cluster by dollars, which includes foreign languages and media and communications, which despite a recent downward trend has grown significantly over the last decade.
(Last paragraph added after original publication after Twitter commentary.)
When the funding freeze on university bachelor-degree places was announced in December 2017 there were some big claims made about both how much it would cost the universities and save the government.
But at least in its first year, 2018, its effects were probably smaller than many people (myself included) expected.
I have to first put some caveats around my data, because I am trying to reconstruct what went on from multiple sources. As is often the case, there are discrepancies between the sources on what should be the same number, such as equivalent full-time student load (EFTSL) or money paid. The main reason for this is that they are revised during the year in question and afterwards. Read More »