More students from advantaged backgrounds study subjects that will get them a higher ATAR (Australian Tertiary Admissions Rank) in New South Wales, while students from lower socioeconomic families are over-represented in subjects that contribute less to the score.
Our new study showed subjects such as advanced English are studied by students with an average higher socio-economic status than students studying standard English.
Advanced English is weighted around 13 marks higher than standard English by the Universities Admissions Centre, which uses these points to calculate the ATAR. Students with a higher ATAR are more likely to get into a university course of their choice.
We examined who studies which subjects, and the benefits of studying some subjects over others in the NSW year 12 curriculum, or the Higher School Certificate (HSC).
We also calculated most advanced English students were likely in the top 20% of their year in reading in NAPLAN in years 3, 5, 7 and 9. But most standard English students were likely in the bottom 20% for each of their NAPLAN years.
We saw similar patterns across many subjects, including between mathematics and general mathematics, between physics, chemistry and senior science, and between economic and business studies.
We also found more advantaged students took vocational education and training (VET) subjects at a much lower rate than their less advantaged counterparts. This included VET subjects that contribute to an ATAR, and other VET subjects done in year 12.
If some subjects are more likely to get you into university, and these are not being accessed equally, we have an unequal system. This means the NSW curriculum and the system it operates in legitimises social status and later opportunity based on student family background.
What we did
We looked at 73,371 non-identifiable student records, analysing the subjects students took and their grades in the HSC. We developed a scale for student socio-economic status using information on parents’ occupation and education level, as well as the students’ gender and school location.
To determine the weight of subjects, we referred to the HSC scaled mean used by the Universities Admission Centre to calculate a student’s ATAR.
There are options within subject areas, each having greater or less weight towards an ATAR. For instance, mathematics has a mean 12 points higher than standard mathematics; physics and chemistry are 12 points higher than senior science; and economics is eight points higher than business studies.
We have used the ATAR as a proxy for measuring student outcomes. This is because ATAR is the basis on which places in university courses are determined, and because it is often the focus of conversations to summarise how a student went in the HSC.
An unequal curriculum
The socio-economic status of a student’s parent(s), school location and student gender continue to exercise significant influence on completing the HSC, the subjects a student studies in the HSC, and ultimately their results.
The options weighted higher, and which therefore contributed more to an ATAR, were overwhelmingly studied by students from higher socio-economic families, and by students in the city.
Prior achievement also played a role in determining the subjects students took. Our calculations show most physics and chemistry students were likely in the top 20% of numeracy in NAPLAN when they were in years 3, 5, 7 and 9; but most senior science students were likely in the bottom 20%.
Most mathematics students were likely in the top 20% of numeracy in NAPLAN when they were in years 5, 7 and 9; but most standard mathematics students were in the bottom 40%. And economics students had higher NAPLAN grades than those in business studies.
There was also a gender divide.
A much higher proportion of females studied advanced English than males. And city students took the subject at nearly twice the rate of outer regional students.
This was also the case for physics, chemistry and economics when compared to senior science and business studies.
Mathematics was studied more by males but general mathematics studied about equally by males and females. However only a small proportion of outer regional students studied mathematics compared to major cities.
Similar patterns could be seen in languages and within vocational education subjects. Students can study one VET subject from a limited range and sit an optional exam to have it contribute to their ATAR or study approved VET courses towards the HSC (and not the ATAR).
Students from higher socioeconomic backgrounds took digital technology VET subjects. But students from less advantaged families took more retail, metal, engineering and hospitality subjects.
VET subjects were also studied at about three times the rate in outer regional and remote areas than in major cities, and twice as much in less advantaged areas than more advantaged ones.
Why this matters
Previous studies have shown a similar hierarchy of subjects in Victoria.
It is now generally accepted teachers have the biggest influence on student learning outside the family and home. Our focus to date has been on the quality of teachers, not what teachers are teaching.
This research shows family and home is highly related to what students do at school, overwhelmingly sorting students into subject pathways that reinforce their current place on the social ladder.
The higher your ATAR, the more likely you are to get into a more prestigious university course, which will give you more job options.
We need to look at the way subjects are arranged in the school curriculum, and ensure all students have genuine access to subjects that enhance their post-school options.
How can you say that “more students from advantaged backgrounds study subjects that will get them a higher ATAR (Australian Tertiary Admissions Rank) in New South Wales” when it has been made clear that choosing subjects will not get anyone a higher ATAR? Please refer to https://www.smh.com.au/education/meet-the-woman-who-calculates-every-nsw-student-s-atar-20180531-p4zipm.html. Maybe the article is misleading the public?
It’s a complex issue isn’t it. I’m not sure I fully understand either! It’s good to hear these experts battling it out! The article you’ve linked does explain that subjects are all scaled based on how they have performed in the past, and that for consistently popular subjects these scales remain statistically accurate. So, I think the findings from this research is grounded in those bigger subjects where data from previous years is quite consistent and they therefore tend to be ‘weighted’ around the same amount when calculating ATAR each year.