Curved grading typically assigns grades according to a predetermined distribution, implying that a certain percentage will receive As, Bs, Cs, and so forth, regardless of absolute performance. Historically, this was popularized under the assumption that student achievement would naturally fall into a bell curve. However, Research from educational psychologists (Dweck, 2006) consistently shows that extrinsic motivators—like competing for limited A’s—can undermine intrinsic interest in mastering content.
Moreover, the curved grading system inherently disadvantages students from underrepresented or underprepared backgrounds. Bowen and Cooper (2021) argue that by ranking students against each other, curved grading disproportionately penalizes those with fewer resources or less prior exposure to subject matter. This structural disadvantage is amplified in fields like STEM, where diverse backgrounds and preparation levels are common among students.
Strict curves can undermine equity in several other ways:
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Promotes competition over mastery: By fostering a zero-sum competition for grades, curved grading erodes classroom collaboration. Students are discouraged from working together or supporting one another, as success is framed as a limited resource. Bowen and Cooper (2021) underscore how this environment runs counter to the collaborative skills essential for success in modern workplaces and research communities.
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Affects mental health:The competitive nature of curved grading increases anxiety and undermines student motivation.
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Misaligns with objectives: A strong cohort might all deserve As, yet a strict curve forces some students into lower brackets. Joe Feldman describes this as an “artificial scarcity” of high grades that can misrepresent actual achievement levels.
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Distorts meaningful feedback: A student might earn a C, not because they lack proficiency, but because the curve dictates that only so many can earn higher grades.
Equitable Alternatives to Curving
Mastery-Based Grading
Here, each student’s performance is measured against specific learning outcomes, not against the performance of peers. If everyone meets or exceeds the standard, everyone can theoretically earn an A. This approach can bolster collaboration, since students realize helping each other won’t hurt their own standing. To explore more ideas related to this please visit our page on Alternative Grading Frameworks
Adjusting Assessments or Scaling Scores
If an exam proves unusually difficult or yields uncharacteristically low scores, you can use the following strategies:
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Dropping poor or ambiguous questions (especially if data shows a large majority misunderstood the same prompt).
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Offering partial-credit opportunities for corrections, so that students learn from mistakes.
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Scaling the entire test by a uniform number of points if your top-scoring student still fell below a reasonable threshold of mastery.
In each scenario, the goal is to remain fair and transparent, explaining to students why adjustments are made and how they relate to true learning.