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Track course engagement

Turn de-identified course exports into a faculty review view.

Difficulty Advanced
Time horizon 1h

Use ChatGPT with LMS activity, gradebook, attendance, assignment metadata, and metric definitions to build a dashboard of engagement patterns, completion gaps, assessment trends, and data-quality warnings.

Best for

  • Faculty reviewing course engagement and completion patterns.
  • Course exports that need aligned definitions and data-quality checks.
  • Dashboards that support human review without diagnosing students.

Contents

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    Track course engagement

    Turn de-identified course exports into a faculty review view.

    Use ChatGPT with LMS activity, gradebook, attendance, assignment metadata, and metric definitions to build a dashboard of engagement patterns, completion gaps, assessment trends, and data-quality warnings.

    Advanced
    1h

    Use ChatGPT with LMS activity, gradebook, attendance, assignment metadata, and metric definitions to build a dashboard of engagement patterns, completion gaps, assessment trends, and data-quality warnings.

    Advanced
    1h

    Related links

    Best for

    • Faculty reviewing course engagement and completion patterns.
    • Course exports that need aligned definitions and data-quality checks.
    • Dashboards that support human review without diagnosing students.

    Skills & Plugins

    • Spreadsheets
      Align course exports, calculate reviewed metrics, and build an editable dashboard.
    • Google Drive
      Gather approved LMS, attendance, gradebook, and assignment files.
    Skill Why use it
    Spreadsheets Align course exports, calculate reviewed metrics, and build an editable dashboard.
    Google Drive Gather approved LMS, attendance, gradebook, and assignment files.

    Starter prompt

    Build a course engagement and performance dashboard from the de-identified LMS activity, gradebook, attendance, assignment metadata, course calendar, and metric definitions I provide. Show: - engagement trends - completion gaps - assessment patterns - missing or inconsistent data - questions for faculty review Create a faculty review queue. Do not diagnose students or automate outreach, grading, placement, or support decisions.
    Build a course engagement and performance dashboard from the de-identified LMS activity, gradebook, attendance, assignment metadata, course calendar, and metric definitions I provide. Show: - engagement trends - completion gaps - assessment patterns - missing or inconsistent data - questions for faculty review Create a faculty review queue. Do not diagnose students or automate outreach, grading, placement, or support decisions.

    Define the dashboard before combining data

    Provide only approved, de-identified exports. Include the metric definitions, reporting window, course calendar, and identifiers needed to align the files.

    Before building charts, ask ChatGPT to show how the LMS, attendance, gradebook, and assignment data will be joined. Resolve duplicate records, missing identifiers, and conflicting definitions first.

    Build a review view

    Use the starter prompt to create a dashboard with:

    • trends over time
    • assignment completion and assessment patterns
    • filters that match the course structure
    • missing-data and quality warnings
    • a queue of questions for faculty review

    Keep observed patterns separate from explanations. A change in activity is a signal to inspect, not a diagnosis.

    Validate and use responsibly

    Check calculations against source totals and spot-check individual de-identified records. Confirm that date windows, section filters, and assessment groupings are correct.

    Use the dashboard to guide faculty questions. Do not use it to automate grading, outreach, placement, or high-stakes labels.

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