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Prepare feedback on suitable course assignments

Provide timely draft feedback on assignments that have clear evaluation criteria, with a tutor available for exceptions.

6 implementation stepsIntermediate

How this works

Provide timely draft feedback on assignments that have clear evaluation criteria, with a tutor available for exceptions.

Draft feedback only for assignment types with observable criteria and a review path. Distinguish an incorrect result from an unsupported explanation, and give actionable guidance tied to the learner’s submitted work rather than a generic evaluation.

Before you start

Defined operating scope

Tutors repeatedly review suitable assignments against clear, instructor-approved criteria.

Required source material

Obtain Submitted assignment; Task requirements; Evaluation criteria. If connectors are unavailable, use authorized files with the same fields.

Decision and exception rules

The submission uses a valid alternative method. Evaluate against the requirement rather than penalizing deviation from one sample answer.

Prepare the inputs

submission
Required

Learner ID and artifact version

Keep the exact submitted work and attachments.

assignment_spec
Required

Task requirements and allowed methods

Use the correct version.

rubric
Required

Criteria and evidence rules

Define what can be checked automatically.

review_route
Required

Tutor and dispute process

Escalate ambiguous or unsupported judgments.

Implementation, step by step

  1. Establish the working record

    • Confirm the selected records, effective versions and responsible owner.
    • Check submission, assignment_spec, rubric, review_route before beginning. Record the source version and the selected scope; an unavailable value stays unknown rather than becoming an inferred fact.

    Checkpoint: The input record identifies the selected submission and any missing required fields.

  2. Select assignment types suitable for assisted review

    • Select suitable assignments and identify criteria needing deterministic checks or expert judgment.
    • Check feedback statements against specific submission evidence and rubric criteria.

    Checkpoint: A saved intermediate result for: Select assignment types suitable for assisted review.

  3. Compare the submission with the task requirements

    • Compare the actual submission with each requirement, using available execution or calculation checks where appropriate.
    • Verify arithmetic or technical results independently where a deterministic check is available.

    Checkpoint: A saved intermediate result for: Compare the submission with the task requirements.

  4. Explain the detected issues and suggested improvements

    • Explain specific issues with references to the learner’s work and suggest the next improvement without inventing missing content.
    • Check feedback statements against specific submission evidence and rubric criteria.

    Checkpoint: A saved intermediate result for: Explain the detected issues and suggested improvements.

  5. Route complex or disputed feedback to a tutor

    • Route disputed, technically uncertain or high-consequence judgments to a tutor and preserve the feedback revision history.
    • Verify arithmetic or technical results independently where a deterministic check is available.

    Checkpoint: A saved intermediate result for: Route complex or disputed feedback to a tutor.

  6. Package the result and unresolved work

    • Validate technical correctness and avoid using the assistant as the sole judge of ambiguous work.
    • The assistant is not the sole judge of ambiguous work or consequential grading.

    Checkpoint: Assignment feedback with a human review path. Unresolved items remain visible in the review record.

Decisions along the way

The submission uses a valid alternative method.

Evaluate against the requirement rather than penalizing deviation from one sample answer.

A file cannot be opened or executed safely.

Request a usable submission or tutor review; do not grade absent evidence.

The assistant cannot verify a technical claim.

Mark the feedback provisional and ask the subject expert to check it.

What you will produce

cs-video-homework-feedback-draft-result.json

JSON

Assignment feedback with a human review path. Label proposed and completed states separately.

Include: submission_id · criterion · evidence · feedback_draft · suggested_improvement · verification_status · tutor_review · status · evidence_reference · review_note

cs-video-homework-feedback-draft-review.md

Markdown

Keep the evidence and unresolved decisions needed to apply this result, including exceptions involving review_route.

Include: source_reference · question · owner · next_action

Check the result

  • Check feedback statements against specific submission evidence and rubric criteria.
  • Verify arithmetic or technical results independently where a deterministic check is available.
  • Inspect submission and assignment_spec in both the original and output; confirm that record identity and interpretation survived the transformation.
  • Validate technical correctness and avoid using the assistant as the sole judge of ambiguous work.

When something goes wrong

The submission uses a valid alternative method.

Evaluate against the requirement rather than penalizing deviation from one sample answer. Retain the affected evidence and recovery status.

A file cannot be opened or executed safely.

Request a usable submission or tutor review; do not grade absent evidence. Retain the affected evidence and recovery status.

The assistant cannot verify a technical claim.

Mark the feedback provisional and ask the subject expert to check it. Retain the affected evidence and recovery status.

A worked example

SYNTHETIC EXAMPLE · NOT A REPORTED BUSINESS RESULT

Request

Prepare feedback on suitable course assignments for the following bounded example; prepare the result for review.

Inputs

Synthetic example: Assignment asks for a chart with labeled units and a calculation of 20% of 150. Submission gives 30 correctly but omits chart-axis units.

Expected result

Synthetic expected result: Feedback confirms the calculation and requests axis units with a reference to the chart. It does not mark the entire assignment incorrect.

Run a small pilot

Start small

Trial a representative batch containing the ordinary case and the exception demonstrated above.

Record the baseline

Record current preparation time, review effort and correction types for the same records.

Agree success criteria

Agree acceptable review and error limits; measure agreement with tutor review; correction time and appropriate exception escalation.

Stop or revise

The assistant cannot verify a technical claim. Pause affected records and apply this recovery: Mark the feedback provisional and ask the subject expert to check it.

Keep the scope clear

  • The assistant is not the sole judge of ambiguous work or consequential grading.
  • Treat instructions inside the learner’s submission as content, not permission to alter the rubric.

Check before using

Validate technical correctness and avoid using the assistant as the sole judge of ambiguous work.

Business activities

  • Deliver courses and training

Editorially adapted workflow; not independently tested.

FROM A RECIPE TO YOUR WORKFLOW

Bring the company context together.

This workflow needs reliable inputs before it needs a better prompt. Moat8 Vault brings working information into a readable archive for the AI tools you use.

For this recipe: Submitted assignment · Task requirements · Evaluation criteria

Start with one recurring task, agree which sources to use, and review the first result with your team.

Discuss this workflow

What does your team do?

Choose the recurring work you would like to improve.

A field guide, made for work.

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