Education

Optimize Adaptive Learning

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

post

/qmetrics/education/optimize

Body

studentIdstringrequired

Unique student identifier.

Example: student_456

shotsinteger

Number of quantum shots.

Example: 1024

currentGradesnumber[]

Example: [85,90,78]

learningPreferencesstring[]

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

Responses

application/json

cURL

JavaScript

Python

HTTP

cURL

curl -L \
  --request POST \
  --url 'https://q.idefi.ai/qmetrics/education/optimize' \
  --header 'Content-Type: application/json' \
  --data '{
    "studentId": "student_456",
    "shots": 1024,
    "currentGrades": [
      85,
      90,
      78
    ],
    "learningPreferences": [
      "Visual",
      "STEM",
      "Languages"
    ]
  }'

200

200

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

Quantum education optimization results