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Auto-graded exercises are a core LearnPack feature. They give learners instant feedback as they progress. Write tests with Jest (HTML, CSS, React, JavaScript, DOM) or pytest (Python).
What this covers: grading modes available in LearnPack, and how to validate unit tests with the CLI. ✅

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Grading modes

LearnPack supports three grading modes. Pick the one that matches your flow. incremental-example
Tip: Start with Incremental for structured courses, and use Isolated for optional practice modules.

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Test frameworks

Keep assertions clear and deterministic so feedback stays fast and readable.

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Validate your unit tests

Use the CLI to audit each exercise’s tests. Ensure each exercise includes a hidden solution file so the command can assert against it.
How it works: when a solution.hide file exists in an exercise, learnpack test runs the test suite against that solution to confirm your checks are correct and aligned with the expected outcome.
Outcome: reliable auto-grading, consistent feedback, and fewer false negatives during learner submissions.

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Next up

Add quizzes, projects, and tasks

Build checks for understanding directly in your course.

Best practices for course design

Structure content for clarity and progress.

How Rigobot works

Context-aware tutoring that supports graded flows.

How to publish a LearnPack package

Share a link, export SCORM, or embed in your LMS.

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See also