Analytics built on top of the AI Assessment (NVAS) framework, surfacing what batches and students are actually struggling with, in plain language.
Question-level difficulty and discrimination statistics computed from real batch results.
Automatic difficulty rating (very difficult / difficult / moderate / easy) per module and topic, based on batch performance.
AI turns a student's assessment history into a plain-language summary of their weakest topics, to prioritise revision.
AI is used only to explain computed results in plain language - it does not calculate scores or invent figures.
No. Scores are computed from actual assessment results; AI is used only to explain those computed numbers in plain language.
Yes, from their assessment history, with a plain-language summary of topics to prioritise in revision.