llm_output.json

{
  "student_name": "Alex Johnson",
  "exam_date": "2024-11-30",
  "total_questions": 1,
  "total_points_earned": 10.0,
  "total_points_possible": 10,
  "percentage": 100.0,
  "letter_grade": "A",
  "question_results": [
    {
      "question_number": 1,
      "points_earned": 10.0,
      "points_possible": 10,
      "is_correct": true,
      "student_answer": "Filtered ecommerce_sales.csv for category='Electronics' and dates in Q4 2024 (Oct-Dec). Calculated revenue as quantity \u00d7 unit_price for each order, then summed. Found 17 orders totaling $9,149.76. $9,149.76",
      "correct_answer": "$9,149.76",
      "points_breakdown": {
        "correct_answer": 6,
        "showing_work": 2,
        "interpretation": 2
      },
      "error_type": null,
      "specific_errors": [],
      "what_was_correct": [
        "Correct total: $9,149.76",
        "Shows filtering for Electronics category AND Q4 dates (Oct-Dec 2024)",
        "Shows summation method (even if using tool/code)"
      ],
      "feedback": "Excellent work! You correctly filtered the data for the Electronics category and Q4 2024 dates, and your calculation of the total revenue is accurate. Keep it up!",
      "data_references": [
        "ecommerce_sales.csv rows 1-30"
      ]
    }
  ],
  "strengths": [
    "Strong performance on Q1"
  ],
  "areas_for_improvement": [
    "Continue current study approach"
  ],
  "overall_feedback": "You scored 10.0/10 points (100.0%). Good job! Focus on: maintaining your performance."
}