AI Multiple Choice Assessment Generator
Mr. Singh is preparing a 20-question end-of-unit test on cellular respiration. He pastes the textbook section into the generator, selects a mix of Level 1 recall and Level 4 analysis questions, and reviews the output. Each distractor is labelled with the misconception it targets ("students often confuse ATP synthesis location") so he knows the assessment is actually testing understanding, not just guessing. He exports to QTI and imports directly into Moodle.
The AI Assessment Generator is one of 9 AI tools built into OpenEduCat. It generates assessments that are genuinely diagnostic, not just lists of recall questions.
How It Works
From text or objective to export-ready assessment in four steps.
Paste text or enter a learning objective
The teacher pastes a reading passage, textbook excerpt, or lecture notes, or simply types a learning objective. The AI analyses the content and identifies the key concepts, facts, relationships, and reasoning skills that can be assessed. For a 500-word science passage, the AI identifies 8-12 assessable concepts before generating any questions.
Select Bloom's level and number of questions
The teacher chooses the Bloom's taxonomy level (from Level 1 (recall) to Level 6 (evaluation)) and the number of questions. They can also mix levels: for example, 5 recall questions, 3 application questions, and 2 analysis questions. This controls the cognitive demand of the assessment without requiring the teacher to write questions at multiple levels manually.
Review and edit questions and distractors
The AI generates the questions with four answer choices each. The correct answer is marked and each distractor is labelled with the misconception it targets. The teacher reviews every question, edits any that are unclear, regenerates individual questions if needed, and approves the set. Distractors based on the most common student errors are flagged with a confidence score.
Export to PDF or LMS
The approved assessment exports as a formatted PDF with an answer key, as a CSV file for manual import, or as a QTI-compliant package for direct import into any LMS. Assessments saved to the OpenEduCat question bank are searchable by topic, standard, and Bloom's level for future reuse.
What Sets This Generator Apart
Built for diagnostic accuracy, not just quantity of questions.
Bloom's Taxonomy Filter
The teacher selects which cognitive levels to target: Level 1 (Remember), Level 2 (Understand), Level 3 (Apply), Level 4 (Analyze), Level 5 (Evaluate), or Level 6 (Create). The AI generates questions that genuinely target the selected level, a Level 4 question requires students to break information into parts and identify relationships, not just recall facts.
Distractor Quality Score
Bad distractors are obviously wrong, students eliminate them without thinking. Good distractors represent plausible misconceptions that students actually hold. The AI generates distractors by identifying known misconceptions for each topic, labels each distractor with the misconception it targets, and assigns a quality score. Low-scoring distractors are flagged for the teacher to review.
Answer Key Generation
Every assessment includes a formatted answer key with the correct answer, an explanation for why it is correct, and an explanation for why each distractor is incorrect. Teachers can distribute the answer key after the assessment or use the explanations to run a whole-class debrief. The explanations are written in student-facing language.
Randomise Question Order
The AI generates multiple versions of the same assessment with questions and answer choices shuffled into different orders. For a class sitting the same assessment simultaneously, each student sees a different order, reducing copying without requiring the teacher to write separate assessments. Versions are automatically reconciled for grading.
LMS Export (CSV and QTI)
Assessments export in QTI 2.1 format, which is the international standard for e-assessment content. QTI packages import directly into any major LMS including Moodle, Canvas, Blackboard, and Google Classroom. CSV export is available for systems that use spreadsheet-based question import. Assessment items also save to the OpenEduCat question bank.
Question Bank Storage
Every question generated by the AI saves to a searchable school-wide question bank, tagged by topic, standard, Bloom's level, and difficulty. Teachers can pull questions from the bank when building future assessments rather than generating from scratch. Over time, the bank becomes a high-quality pool of thousands of questions, every one reviewed and approved by a teacher.
Assessment Types Teachers Build
End-of-unit tests are the most common use case. A 20-30 question assessment covering everything in a 3-week unit, with a mix of recall and higher-order questions, takes about 10 minutes to generate and review. The question bank stores approved items for future reuse, so the second year of teaching the same unit starts with a ready-made question pool.
Reading comprehension checks are generated by pasting any text passage and requesting 5-10 questions that test whether students understood what they read. Literature teachers use this for novel chapters. History teachers use it for primary source documents. Science teachers use it for research articles.
Exit tickets are 3-5 question formative checks generated from the day's lesson objective. They take 2 minutes to create and 3 minutes for students to complete. The data from exit tickets feeds into the OpenEduCat analytics dashboard, showing the teacher which students need intervention before the next lesson.
Diagnostic pre-assessments establish baseline knowledge before a unit begins. The teacher generates a set of questions targeting prerequisite knowledge and gives it on Day 1. The results show which students already have the foundation to accelerate and which students need more scaffolding before new content is introduced.
Frequently Asked Questions
Common questions about the AI Multiple Choice Assessment Generator.
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