A tool designed to estimate the likely score on the Advanced Placement Computer Science exam based on predicted performance across various sections. This tool considers factors such as the multiple-choice question performance and the free-response question scores. For example, a student might input their expected correct answers on the multiple-choice section and an anticipated performance level on each free-response question to receive a projection of their final AP score, ranging from 1 to 5.
The value of these predictive instruments lies in their capacity to provide students with insights into their preparedness for the actual examination. By allowing students to gauge the potential impact of different performance levels, these resources facilitate targeted review and focused study efforts. Historically, students have relied on published grade distributions and scoring guidelines to approximate their scores; these computational tools offer a more streamlined and immediate method of assessment.