exam-forecast

You can use past exams to create a study weighting by analyzing recurring exam patterns and mapping them onto your current syllabus. This process extracts historical topic weights and coverage trends to guide your study allocation.

Exam forecasting analyzes a professor's past exams to extract stable versus variable trends like fact density, question style, and policy-vs-doctrine balance. It compares these exam structures to compute historical topic weights for your current syllabus.

Yes, you can map past exam patterns onto your current syllabus. Syllabus-aware forecasting combines historical exam structures with your current class coverage to produce topic weights and study priorities for final exam preparation.

To generate a syllabus-aware exam forecast, tell the assistant which class you are forecasting for and provide the past exams you have from that professor. It will ingest class context and output a dated forecast document with study priorities.

Exam forecasting works with one or more past exams. Providing multiple exams allows the analysis to extract stable trends versus variable patterns across different tests, improving the accuracy of the computed historical topic weights.

No, exam forecast study weightings are not literal predictions. The generated forecast document is explicitly framed as a heuristic weighting with caveats and confidence levels, providing guidance on study allocation rather than promising specific exam content.