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Fast-Tracks in Mathematics: Accelerated Learning, Self-Selection or Teacher Bias?
Øyvind Nicolay Wiborg1,2, Karl Ingar Kittelsen Røberg3, Håvard Helland4
1Department of Sociology and Human Geography, University of Oslo, Oslo, Norway.
The British Journal of Sociology
|July 25, 2026
Summary
Accelerated learning, or fast-tracks, in Norwegian schools improve math performance for high-achieving students. Teachers may also inflate grades for these students, especially those from disadvantaged backgrounds.
Area of Science:
- Education
- Educational Psychology
- Mathematics Education
Background:
- High-achieving students in Norwegian schools participate in mathematics fast-tracks.
- The effectiveness of these accelerated learning trajectories is under examination.
Purpose of the Study:
- To determine if and how fast-tracks enhance learning and performance in mathematics for high-achieving students.
- To investigate student selection into fast-tracks and potential teacher grading biases.
Main Methods:
- Analysis of high-quality administrative register data from Norwegian lower secondary schools (2010-2017).
- Application of Tobit regression and correlated-random effects (Mundlak model) to address ceiling effects in grades.
- Comparison of teacher-set grades with exam grades from anonymous examiners.
Main Results:
- Fast-track students demonstrate superior mathematics performance compared to regular students.
- Students are selected into fast-tracks based on prior performance and background.
- Teachers appear to assign higher grades to fast-track students, potentially due to perceived talent.
- Evidence suggests teachers may compensate disadvantaged fast-track students.
Conclusions:
- Mathematics fast-tracks positively impact student learning and performance.
- Student selection and self-selection play a role in fast-track participation.
- Teacher grading practices may be influenced by student participation in fast-tracks and socioeconomic background.
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