What kind of information is often used for forecasting exam performance?

Forecasting exam performance typically relies on predictive information. This type of information utilizes historical data and statistical models to anticipate future outcomes. For example, predictive analytics may involve looking at past performance trends, demographic data, or other factors that correlate with student success on exams.

In the context of assessing likely future performance, predictive information helps in making informed decisions about instructional strategies, resource allocation, and identifying students who may need additional support. This approach focuses on patterns and probabilities rather than comparing individual performance directly against a standard or norm, which would involve other types of information like criterion-referenced or norm-referenced assessments.

Overall, the strength of predictive information lies in its ability to give educators and administrators insights based on data trends, which can be invaluable for planning and improving student achievement.