Assessly
An item bank that keeps its metadata honest: standards-aligned items generated across Bloom’s levels, auto-tagged, calibrated with real learners and exported to any LMS.
Overview
An item bank that keeps its metadata honest.
An item bank degrades quietly. Tags drift, review states go stale, two versions of the same item live under different ids, and by the time someone needs a blueprinted form the metadata cannot be trusted.
Assessly enforces the process that keeps a bank usable: authoring against a blueprint, a review workflow with named states and reviewers, controlled taxonomies for standards and difficulty, and versioning so an item edited after publication does not silently change a delivered form. Forms are assembled against the blueprint and exported as QTI.
What it does, in order
Tabs pin the screenshot; text scrolls on mobileAuthor against coverage and difficulty targets, with remaining quota visible per cell.
Key features
LMS export
QTI, JSON, Excel, Word and INDD export, so items land in the platform your customers run.
Auto-tagging
Standard, objective, Bloom’s level and difficulty tagged on generation and kept honest on edit.
Analytics
Pilot statistics fed back into the bank: difficulty calibration, discrimination and reject rates.
Validity and fairness
Bias and fairness review built into the workflow before an item enters the bank.
Bloom’s across the bank
Items generated to the level you ask for, from recall to evaluation.
Questions we get before the first call
See Assessly on your own content.
Send a sample and we walk you through a real run, not a slide deck. Product inquiries land with the EdTech team as a tagged lead.