Gender gap in predicted grades raises questions over their use in university admissions

A new study has revealed a significant gender gap in the predicted grades given to students in England, raising concerns about the fairness and accuracy of using such forecasts in university admissions. Researchers from the Universities of Cambridge and Bristol analyzed data from over 350,000 students and found that teachers consistently predicted higher A-Level grades for girls than for boys, even when both groups achieved the same final results. This discrepancy has sparked renewed debates about the reliability of predicted grades in determining university entry standards. The study, published in the Economics of Education Review, examined 10 different A-Level subjects and uncovered a persistent pattern. Girls were 3% to 11% more likely than boys to have their grades overpredicted and 15% to 41% less likely to have them underpredicted. However, the researchers emphasized that this was not necessarily due to bias or deliberate favoritism towards female students. Instead, they proposed that teachers might be influenced by broader perceptions of student traits such as motivation, diligence, and classroom behavior, leading to a kind of "halo effect" where overall positive impressions influence academic predictions. When the researchers focused on students with identical A-Level results and comparable prior academic performance, the situation shifted slightly. Boys were more frequently predicted higher grades in science, technology, engineering, and mathematics (STEM) subjects, whereas girls maintained a modest advantage in non-STEM fields like English literature. These findings suggest that while there is a general tendency to overpredict girls' grades, the nature of the disparity varies depending on the subject area. The implications of these findings extend directly into the UK’s university admissions process. While final admission decisions are based on actual A-Level results, initial offer letters are often issued months before exams, relying heavily on predicted grades. This practice means that discrepancies in predictions can affect students' opportunities and choices early in their academic journey. Educational organizations, including the Sutton Trust, have long advocated for changes to this system. In 2020, the UK government considered transitioning to a post-qualification admissions model, where decisions would be made after students received their final grades. However, the proposal was ultimately abandoned, leaving the current system intact. Dr. Konstantina Maragkou, lead author of the study from the University of Cambridge's Faculty of Education, highlighted the complexity of the issue. She noted that while teachers are unlikely to intentionally favor girls, their predictions may still reflect implicit biases shaped by broader observations of student behavior and characteristics. “We need to think carefully about how fair that is for young people when the stakes are so high,” she said. The study drew on data collected during three university application cycles between 2017 and 2019. By comparing boys and girls with equivalent A-Level outcomes, the researchers identified a notable difference in predicted grades. On average, girls received predictions approximately one-tenth to one-fifth of a grade higher than boys. These seemingly minor differences could significantly impact a student’s final grade classification, potentially shifting someone from a B to an A or an A to an A*. To ensure the validity of their conclusions, the researchers controlled for numerous variables, including socioeconomic status, ethnicity, class size, and the schools attended. Even after accounting for these factors, the gender gap in predicted grades remained consistent. This suggests that the observed disparities are not easily attributable to external influences but rather stem from internal biases or assumptions held by educators. The researchers explored several explanations for the phenomenon, including the possibility that teachers consciously or unconsciously perceive girls as having greater academic potential compared to boys. They also considered the idea that predictions might be informed by a wider set of student attributes beyond just past academic performance. To test this hypothesis, they utilized earlier Key Stage 2 and GCSE results to assess students’ overall academic profiles. Their analysis indicated that broader academic trends played a role in shaping predictions, though the exact mechanisms remain unclear. As discussions continue about the fairness and effectiveness of predicted grades in university admissions, the study underscores the need for further examination of how teacher expectations shape students’ futures. With the stakes of higher education being as high as ever, ensuring equitable treatment in the admissions process remains a pressing concern.