Education

Optimize Adaptive Learning

post

Uses quantum-calculated probabilities to personalize learning paths, improve student progress, and secure academic data.

Body

studentIdstringRequired

Unique student identifier.

Example: student_456

currentGradesnumber[]Optional

Current grade metrics.

Example: [85,90,78]

learningPreferencesstring[]Optional

Preferred learning styles or subjects.

Example: ["Visual","STEM","Languages"]

shotsintegerOptional

Number of quantum shots.

Example: 1024

Responses

post

HTTPcURLJavaScriptPython

POST /qmetrics/education/optimize HTTP/1.1
Host: q.idefi.ai
Content-Type: application/json
Accept: */*
Content-Length: 119

{
  "studentId": "student_456",
  "currentGrades": [
    85,
    90,
    78
  ],
  "learningPreferences": [
    "Visual",
    "STEM",
    "Languages"
  ],
  "shots": 1024
}

200

Quantum education optimization results

{
  "studentId": "student_456",
  "quantumResults": {
    "adaptiveLearningScore": "Personalized learning accuracy improved to 92%",
    "academicSecurity": "Academic record security compliance at 100%",
    "progressForecast": "Predicted grade improvement: 10% increase"
  },
  "recommendations": [
    "Integrate adaptive visual modules for complex subjects.",
    "Conduct periodic assessments to recalibrate learning paths."
  ]
}