Girls Get Better Grades Than Boys, But That Might Not Lead To Fair Pay

Expert comment provided by the European Institute for Gender Equality.

A Cambridge study found that in the UK, boys typically perform worse than girls in exams, from early years through to university.

Some researchers, including those commissioned by parliament’s Education Committee, have sought to find out why that is, while headlines posit that schools might be “biased” against boys.

We aren’t seeking to explain that difference here. Instead, we wanted to know whether the higher grades girls tend to get in school actually translate to better wages once they enter the workplace.

Here, we asked a spokesperson for the European Institute for Gender Equality (EIGE) about the topic.

“These stronger school outcomes do not automatically translate into equal outcomes later in life”

An EIGE spokesperson said that girls’ academic achievements are a “long-standing achievement in the EU”.

Women increasingly outnumber men in completing third-level education, they added.

But “these stronger school outcomes do not automatically translate into equal outcomes later in life.

“Evidence consistently shows that structural inequalities in households, the labour market and public life continue to shape women’s opportunities, earnings, and career progression.”

Indeed, the author of the Cambridge study we mentioned earlier said that “apparent advantages” suggested by girls’ academic successes “are not necessarily carried through to employment”.

At its current rate, the Trade Union Congress says, the UK’s gender pay gap is not expected to close for another 30 years.

Why don’t girls’ higher grades appear to lead to better pay?

The EIGE spokesperson said that one-third of young men aged 15-24 believe men are better leaders than women, compared to 15% of young women.

“These attitudes shape unequal outcomes over the life course, [and] contribute to a persistent divide in the labour market, where women are overrepresented in public sectors such as education, health, and care – roles that are essential but often undervalued and lower paid,” they added.

Men, meanwhile, are likelier to work in higher-paying sectors.

Additionally, when women choose lucrative jobs, these tend to become lower-paid if others join them and the career is deemed “feminine”. The inverse appears to have happened in e.g. programming, when a formerly feminised role became male-dominated.

And “even when women enter the workforce with strong qualifications, they face barriers to career progression. Women remain underrepresented in senior and decision-making positions, which has a direct impact on earnings,” the spokesperson said.

For instance, in education, which is 76% female, men make an average of 17% more than women in the UK. As a percentage, men are significantly more likely than women to be headteachers (5.8% vs 3.9%).

“In addition, unequal sharing of care responsibilities means women are more likely to work part-time, take career breaks, or adjust their working patterns, all of which can slow career advancement and reduce lifetime earnings,” the EIGE spokesperson said.

“Women are also twice as likely as men to provide over 35 hours of childcare per week and, on average, receive only 75% of men’s pensions.”

Ultimately, “the assumption that better school results lead to better professional outcomes does not hold in reality. Addressing these gaps requires tackling structural inequalities that continue to limit women’s economic equality.”

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‘I Love Normal Cheaters Now’ – Professors Share How AI Is Changing Student Assessment

A couple of months ago, Dr Jonathan Fine – a lecturer in German Studies – shared an X post that made me laugh, then wince.

“I love normal cheaters now,” the academic wrote. “A student admitted to getting help from a person on an assignment, and I didn’t even penalise him because I was just so happy it wasn’t AI.”

It’s a sentiment I’ve seen echoed by other professors since.

And in a recent TikTok, Dr Steven Buckley, a lecturer in Media Digital Sociology who also helps his university to assess cases of academic misconduct, shared that he’d seen a dissertation with what appeared to be “hallucinated” references.

We spoke to Dr Fine and Dr Buckley about their experiences.

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I love normal cheaters now. A student admitted to getting help from a person on an assignment, and I didn’t even penalize him because I was just so happy it wasn’t AI.

— Jonathan Fine (@jonathanbfine) April 25, 2025

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I love normal cheaters now. A student admitted to getting help from a person on an assignment, and I didn’t even penalize him because I was just so happy it wasn’t AI.

— Jonathan Fine (@jonathanbfine) April 25, 2025

Dr Fine says he’s been “paranoid” about machine learning for a long time

Dr Fine, who teaches in a language not native to most of his students, says he doesn’t think his experiences are typical of those teaching the humanities.

“I teach German, so I’ve been paranoid about machine translation ever since I started teaching,” he said.

“That’s always been my default attitude when reading student writing, so AI hasn’t been a major change for me or a big loss of trust in the students.”

Still, he says, “I don’t allow students to use AI, and I tell them at the beginning of class how awkward the conversation is when they’re caught, but they use it anyway.”

He assigns a lot of in-class writing, which means it’s clear when AI has been used by a student. The lecturer says it reads very differently from their usual work.

“When I catch a student using AI, I try to use it as a teaching moment,” he told HuffPost UK.

“I talk to the students about how my job is to help them improve, but I really can’t help a computer. If students were to reoffend, then I’d have to escalate the situation as a violation of academic policies.”

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Every justification I come across for the widespread academic use of artificial intelligence presupposes an ideal student user that does not exist. https://t.co/5TF4YNaYpe

— Jonathan Fine (@jonathanbfine) June 19, 2025

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Every justification I come across for the widespread academic use of artificial intelligence presupposes an ideal student user that does not exist. https://t.co/5TF4YNaYpe

— Jonathan Fine (@jonathanbfine) June 19, 2025