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Overview

The "Course Grade" resource with the "List" operation in this node allows users to retrieve a list of grades associated with a specific course. This is useful for educators, administrators, or systems that need to fetch and process student performance data for a given course.

Typical use cases include:

  • Displaying all student grades for a course in a dashboard.
  • Exporting course grade data for reporting or analysis.
  • Integrating course grade information into other educational tools or platforms.

For example, an educator might use this node to pull the latest grades for their course to monitor student progress or identify students who may need additional support.

Properties

Name Meaning
Course ID The unique identifier of the course for which to list grades.
Limit Maximum number of grade records to return (minimum 1). Defaults to 50.
Offset Number of grade records to skip before starting to return results. Useful for paging.

Output

The output of this operation is a JSON array containing grade records for the specified course. Each item in the array represents a single grade entry, typically including details such as student identifiers, grade values, and possibly metadata like timestamps or grading criteria.

If the node supports binary data output (not indicated here), it would typically be used for exporting grade reports or attachments, but this operation primarily returns structured JSON data.

Dependencies

  • Requires an API key credential for authenticating with the Mindz API.
  • The node depends on the Mindz platform's API endpoints related to courses and grades.
  • Proper configuration of the OAuth2 API credentials within n8n is necessary to authorize requests.

Troubleshooting

  • Missing or invalid Course ID: Ensure the Course ID is provided and correctly formatted; otherwise, the API will likely return an error or empty results.
  • API authentication errors: Verify that the API key or OAuth2 token is valid and has sufficient permissions to access course grade data.
  • Pagination issues: If expecting more results than returned, adjust the Limit and Offset parameters accordingly.
  • Network or API downtime: Temporary connectivity issues or Mindz API outages can cause failures; retry after some time.

Common error messages might include unauthorized access, resource not found (invalid Course ID), or rate limiting. Resolving these involves checking credentials, verifying input parameters, and respecting API usage limits.

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