QCM et Bloom-AI-powered MCQ Generator

Example

Creating questions that ask students to recall specific facts (Level 1: Remember) or to apply knowledge to new scenarios (Level 3: Apply).

Scenario

An educator preparing a biology exam uses QCM et Bloom to generate questions that test students' memory of cell organelles and their ability to apply this knowledge to determine cell functions in different environmental conditions.

Example

Providing specific feedback for each answer choice, guiding students towards correct understanding regardless of their initial answer.

Scenario

After a student selects an incorrect option on a question about historical events, QCM et Bloom provides feedback explaining why the choice was wrong and offers context to understand the correct answer.

Example

Designing assessments that progressively challenge students, moving from lower to higher Bloom's Taxonomy levels.

Scenario

In a physics class, the tool is used to create an exam starting with basic questions on Newton's laws and progressing to complex problems requiring the creation of models or hypotheses to solve real-world physics problems.

Example

Allowing educators to tailor question stems and distractors according to the topic and desired difficulty level.

Scenario

A literature teacher uses QCM et Bloom to craft questions about a novel's themes, character motivations, and plot developments, adjusting complexity for different class levels.

Example

Ensuring that questions align with educational standards and learning objectives.

Scenario

A chemistry instructor creates a series of MCQs that align with national science education standards, facilitating students' preparation for standardized tests.