lnet_tutor/exam_system/READY_TO_USE.md

✅ System Ready to Use!

Current Status: FULLY OPERATIONAL

Your exam system is complete with all requested features!

🎯 What's Ready

1. User System ✓

• User registration
• User login/logout
• Session management
• Test account: testuser / test123

2. Exam Taking ✓

• Start/continue/resume exams
• Timer with countdown
• Autosave every 10 seconds
• 5 question types supported

3. Automatic Scoring ✓

• Activated for: exams with ONLY single_choice and true_false questions
• Shows: immediate score, percentage, pass/fail, correct count
• Not activated for: exams with essay, code_simple, or code_exercise

4. Exam History ✓

• View all your attempts
• See scores for auto-graded exams
• View detailed results
• Retake any exam unlimited times

📋 Available Exam

Python Fundamentals - Easy Level

Details:

• 10 questions (5 MCQ + 5 T/F)
• 50 total points
• 45 minutes
• ✓ Auto-scored
• 70% to pass (35 points)

Topics:

• Lists and data types
• Functions
• Variables
• Python syntax
• Comments

🚀 How to Use

Quick Start

1. Open browser: http://localhost

2. Login:

   • Click "Login" in header
   • Use: testuser / test123
   • OR register a new account

3. Take Exam:

   • Click "Start Exam" on "Python Fundamentals - Easy Level"
   • Answer 10 questions
   • Watch autosave status ("Saved")
   • Click "Submit Exam"

4. See Your Score:

   • Immediate score display
   • Percentage in large circle
   • Pass/Fail status
   • Correct answer count

5. View History:

   • Click "My History" in header
   • See all attempts and scores
   • Click "Take Again" to retake

📊 Scoring Details

For This Exam (Auto-Scored)

• Each correct answer: 5 points
• Each incorrect answer: 0 points
• Maximum: 50 points
• Passing: 35 points (70%)

Score Breakdown

After submission, you'll see:

Your Score
   80%
  40 / 50

✓ PASSED

Correct: 8 / 10

Question-Level Details

In the output JSON (data/output/), you'll find:

"score": {
  "totalScore": 40,
  "maxScore": 50,
  "percentage": 80.0,
  "passed": true,
  "byQuestion": [
    {
      "questionId": "q1",
      "earned": 5,
      "max": 5,
      "correct": true
    },
    ...
  ]
}

🎓 Learning Workflow

Recommended Approach

1. First Attempt:

   • Take exam honestly
   • See your score
   • Note weak areas

2. Review:

   • Check output JSON for question-by-question breakdown
   • Identify incorrect answers
   • Study those topics

3. Retake:

   • Click "Take Again" in history
   • Improve your score
   • Track progress

4. Iterate:

   • Keep retaking until 100%
   • Build mastery through repetition

📁 Data Persistence

What Gets Saved

For each attempt:

• All your answers
• Timestamps (start, submit)
• Time spent per question
• Auto-scored: complete score breakdown
• Manual-graded: awaiting review

Location:

• Attempts: data/attempts/{userId}/{examId}/
• Output bundles: data/output/{examId}_{attemptId}.json
• Progress: data/progress/{userId}.json

🔄 Retake System

How It Works

1. Finish an exam (get a score)
2. Go to "My History"
3. Click "Take Again"
4. System:
   • Removes from "finished" list
   • Lets you start fresh
   • Preserves old attempts
5. Take exam again with a clean slate

All Attempts Preserved

• Every attempt is saved
• View history to see all scores
• Compare improvement over time
• Track learning progress

📈 Progress Tracking

After multiple attempts, you can:

• Compare scores across attempts
• See improvement trends
• Identify consistent weak areas
• Celebrate perfect scores!

🎨 UI Features

Exam List

• Status badges (Available, In Progress, Finished)
• "Start" or "Continue" buttons
• Exam metadata (subject, difficulty, duration)

During Exam

• Timer with countdown
• Question counter (Question X of Y)
• Autosave indicator ("Saved")
• Previous/Next navigation
• Submit button

After Submission

• Auto-scored: Immediate score circle
• Manual: Confirmation message
• Links to history and home

History Page

• All exams you've taken
• All attempts per exam
• View results for each attempt
• Retake buttons

🧪 Test Scenarios

Scenario 1: Perfect Score

• Answer all 10 questions correctly
• Expected: 50/50, 100%, PASSED

Scenario 2: Passing Score

• Answer 7-9 correctly
• Expected: 35-45/50, 70-90%, PASSED

Scenario 3: Failing Score

• Answer < 7 correctly
• Expected: <35/50, <70%, NOT PASSED

Scenario 4: Retake

• Take exam, get 60%
• Study weak areas
• Retake, get 90%
• See improvement!

🎉 You're All Set!

Everything is ready:

• ✅ Docker containers running
• ✅ Database with users
• ✅ Python exam published
• ✅ Auto-scoring active
• ✅ Frontend complete
• ✅ All features working

Start learning: http://localhost

Login with: testuser / test123

Take the exam and see your instant score! 🚀

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Documentation

• AUTO_SCORING_GUIDE.md - Scoring details
• HOW_TO_ADD_EXAMS.md - Create new exams
• USER_SYSTEM_GUIDE.md - User features
• FINAL_GUIDE.md - Complete guide
• /docs/exam-format.md - Exam JSON format

Need Help?

Check TROUBLESHOOTING.md or view logs:

docker-compose logs -f