GradeCast AI-powered Assessment Insight Platform (Artificial Neural Network Prediction + Rasch Diagnostics)

1. Upload & Column Mapping

Item Descriptive CSV

Expected: first column = ItemID, then multiple descriptive columns.

Student Responses CSV

Long format: (StudentID, ItemID, Score).
Wide format: row = student, columns = items (scores in cells).

Item file: - | Score file: -

2. Feature Selection (for ANN)

Columns from the Item CSV (excluding ItemID) will appear below. Select which to use and their encoding.

3. Model Structure & Validation

Model Structure

Hidden Layers

Validation Configs

4. Start Training

5. Training Results

6. Predict New Items

7. IRT Calibration & Wright Map