A system for evaluating student performance distributes grades based on a normal distribution, often visualized as a bell-shaped curve. This method typically ranks students’ scores relative to their peers, assigning higher grades to those who perform above average and lower grades to those below. For example, in a class graded this way, a set percentage of students might receive As, a larger percentage Bs, the majority Cs, and then decreasing percentages for Ds and Fs, mirroring the symmetrical distribution of the bell curve. This approach differs from absolute grading, which assigns grades based on predetermined performance levels regardless of class performance.
Normal distribution grading allows for standardization of scores across different sections or instructors, potentially mitigating inconsistencies in evaluation. It can also help differentiate student performance within a large cohort. Historically, this grading methodology was considered a way to manage large class sizes efficiently and address potential grade inflation. However, debates surrounding its fairness and impact on student motivation persist. Its suitability depends on the specific learning context and the desired outcomes of the evaluation process.
