AI Assessments & Adaptive Personalization

LearnWay replaces one-size-fits-all curricula with dynamic, AI-driven assessment and personalization pipelines. Generative models evaluate initial student aptitude, grade hands-on practical submissions, and construct custom career roadmaps.

1. Adaptive Onboarding Assessment

When a new learner signs up, they complete a diagnostic onboarding evaluation:

Diagnostic Domain Questions: Evaluates baseline reasoning, programming fundamentals, AI literacy, and logic.
Aptitude Calibration: The AI engine processes answer patterns, response timing, and accuracy to determine the learner’s foundational competence level (Beginner, Intermediate, or Advanced).
Automated Path Placement: Skips redundant introductory modules for advanced learners while directing novices to structured Foundation Learning Paths.

2. Multimodal Project & Capstone Evaluation (`AiAssessmentService`)

For practical capstone courses, learners submit real-world artifacts (code repositories, architecture diagrams, screenshots, or design documents).

Multimodal Ingestion Pipeline

AiAssessmentService handles diverse deliverable types by preparing inline base64 and structured text parts for Google Gemini:

const INLINE_DATA_MIME_TYPES: Record<string, string> = {
  jpg: 'image/jpeg',
  jpeg: 'image/jpeg',
  png: 'image/png',
  webp: 'image/webp',
  gif: 'image/gif',
  pdf: 'application/pdf',
};

Evaluation Rubric & JSON Output

The AI evaluates submissions against project criteria, returning a strictly formatted JSON response:

{
  "score": 88,
  "passed": true,
  "strengths": [
    "Clean separation of concerns in NestJS service layers",
    "Proper error handling with custom HTTP exceptions"
  ],
  "weaknesses": [
    "Missing input validation on nested DTO objects",
    "Database queries in controller methods instead of repositories"
  ],
  "recommendations": [
    "Apply class-validator decorators to all incoming payload properties",
    "Inject repositories into service providers to follow the repository pattern"
  ]
}

If the score meets the course passing threshold, the core backend automatically queues certificate minting on the supporting blockchain infrastructure (Lisk L2).

3. Dynamic Career Roadmap Generator

Learners can specify a targeted career ambition (such as “Full Stack AI Engineer”, “Smart Contract Auditor”, or “Data Scientist”).

Synthesis Process:

Catalog Querying: Fetches all verified courses, tracks, and prerequisites currently published in LearnWay’s catalog.
Foundation Alignment: Injects the Foundation-First Rule, guaranteeing that universal foundational courses precede advanced electives.
Stage Breakdown: Assembles a structured milestone roadmap where each stage references concrete courses in the catalog:

{
  "title": "Roadmap to Full Stack AI Engineer",
  "description": "Comprehensive milestone-driven path from foundational computing to production LLM integration.",
  "stages": [
    {
      "stage": 1,
      "title": "Foundational Computing & Logic",
      "courses": [
        "Intro to Modern Programming",
        "Data Structures & Algorithms"
      ],
      "skillsAcquired": ["TypeScript", "Algorithmic Thinking"]
    },
    {
      "stage": 2,
      "title": "AI & Machine Learning Essentials",
      "courses": [
        "Prompt Engineering & LLM Fundamentals",
        "Working with Gemini APIs"
      ],
      "skillsAcquired": ["Prompt Architecture", "RAG Pipelines", "Embeddings"]
    },
    {
      "stage": 3,
      "title": "Full Stack AI Application Engineering",
      "courses": [
        "NestJS Backend Architecture",
        "Building Mobile-First AI Applications"
      ],
      "skillsAcquired": [
        "Microservices",
        "Vector Databases",
        "Agentic Workflows"
      ]
    }
  ]
}

4. Continuous Knowledge Gap Detection

Throughout a learner’s progression:

Quiz Battle Telemetry: Tracks specific question categories where the learner frequently misses questions.
Micro-Recommendations: Feeds knowledge gap metrics into learnway-ai-service/ai-analytics to suggest targeted micro-review slides before the next competitive battle or assessment.

Getting Started

Architecture

Guides

AI Assessments & Adaptive Personalization

AI Assessments & Adaptive Personalization

1. Adaptive Onboarding Assessment

2. Multimodal Project & Capstone Evaluation (`AiAssessmentService`)

Multimodal Ingestion Pipeline

Evaluation Rubric & JSON Output

3. Dynamic Career Roadmap Generator

Synthesis Process:

4. Continuous Knowledge Gap Detection

​AI Assessments & Adaptive Personalization

​1. Adaptive Onboarding Assessment

​2. Multimodal Project & Capstone Evaluation (AiAssessmentService)

​Multimodal Ingestion Pipeline

​Evaluation Rubric & JSON Output

​3. Dynamic Career Roadmap Generator

​Synthesis Process:

​4. Continuous Knowledge Gap Detection

AI Assessments & Adaptive Personalization

1. Adaptive Onboarding Assessment

2. Multimodal Project & Capstone Evaluation (`AiAssessmentService`)

Multimodal Ingestion Pipeline

Evaluation Rubric & JSON Output

3. Dynamic Career Roadmap Generator

Synthesis Process:

4. Continuous Knowledge Gap Detection