The act of adjusting examination scores, often using a computational tool, modifies the original distribution of grades to better reflect the learning outcomes or to align with predetermined standards. One method involves adding a fixed number of points to each student’s score, while more complex approaches utilize statistical functions to rescale the grades based on the class’s overall performance. For instance, if the highest achieved score on an exam is 85%, applying a linear adjustment could bring that score to 100%, proportionately raising all other scores as well.
The rationale behind grade adjustments stems from several factors, including addressing excessively difficult tests, compensating for unforeseen external circumstances affecting student performance, or mitigating discrepancies between the intended and actual levels of assessment difficulty. Historically, educators employed manual methods to implement these adjustments. However, the advent of technology has led to the creation of digital instruments that automate and refine the process, ensuring greater consistency and reducing the potential for calculation errors. This process can positively impact student morale and motivation, ensuring fairness in grading relative to test difficulty.