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Build adaptive quizzes in plain language. The questions get harder when the learner is doing well and easier when they're struggling, so every learner spends time at the edge of what they know.
An assessment that adjusts question difficulty in real time based on the learner's performance. Instead of every learner answering the same 20 questions, each learner gets a personalized sequence calibrated to their current level, more efficient assessment, less wasted time on questions that are too easy or too hard.
From a topic description to a SCORM-ready adaptive quiz. No item-response-theory PhD required, the AI handles the calibration.
Paste your textbook chapter, policy doc, or training content. The tool generates questions grounded in what you provided, not the open web.
Name what mastery looks like for each topic. The quiz tracks per-objective mastery instead of giving a single combined score.
Choose target mastery threshold, max questions per learner, and starting difficulty. The adaptive engine handles the calibration from there.
One command produces a SCORM 1.2 zip. Per-objective mastery scores post back to the gradebook in any SCORM-compliant LMS.
The same toolchain powers placement testing, course pre-checks, certification readiness, compliance refreshers, and onboarding-knowledge checks.
Put incoming students at the right level fast. An adaptive quiz finds the boundary of what they know in 10 questions instead of a 50-question battery.
Predict whether a learner is ready to sit a high-stakes exam. Adaptive quizzes give a more accurate signal than fixed-form practice tests.
Replace 30-slide annual training with an adaptive quiz that drills only the policies each learner is shaky on. Faster, more rigorous, less universally hated.
Confirm new hires actually absorbed onboarding content. The adaptive format catches who's bluffing without wasting the time of who isn't.
Adaptive quizzes for CME credit. Per-topic mastery scores satisfy regulatory reporting and identify exactly which guidelines need refresher.
Quick adaptive checks during a unit identify which students need re-teaching on which subtopic, before the end-of-unit test makes it too late.
The adaptive engine selects each next question based on the learner's running performance, converging on the boundary of what they know. When the quiz ends, you get per-objective mastery scores, not a single opaque percentage, with evidence tied to specific responses.
Update objectives, item pools, or mastery thresholds any time. Re-export the SCORM package and the next attempt grades against the new rules.
Each question's difficulty is selected based on the learner's running performance. The quiz converges on the boundary of what the learner knows, then stops.
Instead of one combined percentage, learners get a mastery rating for each objective. Instructors see exactly where to intervene.
Each learner sees a different sequence drawn from a larger pool. Cheating by question-sharing becomes a lot harder.
Tweak the difficulty curve, swap an objective, change the mastery threshold, or rewrite items, just describe the change in your own words. Your coding agent rebuilds the item bank and re-exports the SCORM package without you ever editing a spreadsheet of questions.
When you're happy, export as a SCORM 1.2 package for your LMS, or use the same HTML bundle standalone.
conditional-probability with 12 calibrated items. Mastery threshold set to 0.7.Paste any prompt into your coding agent to get a complete adaptive quiz as a single self-contained HTML file. Adjust topic, difficulty, or objectives in plain language.
A 10-question adaptive placement test that puts incoming students at the right calculus level, ranges across limits, derivatives, and integration intuition.
Using /adaptive-quizzes, build a 10-question calculus placement test. Score on limits, derivatives, and integration intuition.
A 15-question adaptive readiness check across PMP knowledge areas, predicting whether the candidate is ready to sit the real exam this quarter.
Using /adaptive-quizzes, build a 15-question PMP readiness check across the 5 process groups. Score on per-area mastery.
A 12-item adaptive GDPR refresher that drills only the topics each learner is shaky on, with scenario-style items for nuanced cases.
Using /adaptive-quizzes, build a 12-item GDPR refresher. Score on Article 6 legal bases, DSR handling, and breach notification timelines.
A short adaptive knowledge check covering company history, key policies, and team structure, identifies who needs additional onboarding support.
Using /adaptive-quizzes, build an 8-item Day-3 new-hire check. Score on history, key policies, and team structure.
A 14-item adaptive CME quiz on antibiotic stewardship, with scenario-based items covering common outpatient prescribing decisions.
Using /adaptive-quizzes, build a 14-item antibiotic-stewardship CME quiz. Score on indication, duration, and resistance considerations.
A 10-item adaptive check for 5th-grade fractions, identifies which subtopic each student needs re-teaching on before the unit test.
Using /adaptive-quizzes, build a 10-item Grade-5 fractions check. Score on equivalent fractions, addition with unlike denominators, and word problems.
Every adaptive quiz exports as a standards-compliant SCORM 1.2 package. Upload the zip, assign it like any other course activity, and per-objective mastery scores flow back to the gradebook automatically.
cmi.core.score.raw and cmi.core.lesson_statusAuthoring, item generation, LMS compatibility, calibration, model choice, answered directly.
An adaptive quiz is an assessment that adjusts question difficulty in real time based on the learner's performance. Each learner gets a personalized question sequence calibrated to their current level, so the quiz converges on each learner's mastery boundary efficiently instead of giving everyone the same fixed-form test.
A regular (fixed-form) quiz gives every learner the same questions in the same order. An adaptive quiz picks each next question based on how the learner is doing, so high performers don't waste time on easy questions and struggling learners aren't crushed by impossible ones.
Computerized adaptive testing is the formal name for adaptive quizzing, an item-response-theory–based approach where the test adapts to the test-taker. Our adaptive quizzes use a similar approach calibrated by AI, no psychometrician required to author the item bank.
Yes. Every quiz exports as a SCORM 1.2 package, which works in Cornerstone, Moodle, Canvas, TalentLMS, Docebo, Brightspace, and every other SCORM-compliant LMS. Mastery scores post back to the gradebook automatically.
Questions are generated by AI from the source material you provide, your textbook chapter, policy document, or training content. You review and approve the generated items, you don't have to author each one from scratch.
Yes. The adaptive engine selects items for each learner from a larger pool. Different learners follow different paths through the bank, which also makes the quiz harder to cheat on by question-sharing.
The bundles run on whichever frontier model you configure, Claude, GPT, Gemini, or a self-hosted model. The model is swappable; the item bank and calibration logic are model-agnostic.
Adaptive Quizzes is in active development. It will install via your coding agent with a single command, the same way the existing role-play skill works today. Add your email below and we'll let you know the day it ships.