Hybrid Smart School LMS
Product & System Blueprint (v1 – Build Phase)
1. Product Overview
1.1 Product Vision

منصة تعليمية هجينة (Hybrid LMS) تعمل كـ:

مدرسة رقمية كاملة (Virtual School)

نظام إدارة تعلم متقدم (LMS)

منصة تعليم عن بعد ذكية

أساس قابل لإضافة تواجد فعلي لاحقًا (Skill Hubs)

المنصة مصممة لتقديم تعليم:

متعدد المناهج (سعودي – مصري – سوري – خاص)

تكيفي حسب أداء الطالب

قائم على الاشتراكات والدفع التلقائي

قابل للتوسع إقليميًا وعالميًا

2. Educational Model
2.1 Learning Philosophy

Blended Learning (غير متزامن + متزامن)

Competency-Based Progression

Outcome-Based Education

Data-Driven Personalization

2.2 Learning Flow
Lesson → Exercise → Assessment → Progress Analysis
       → Adaptive Recommendation → Next Action

3. Core System Architecture
3.1 High-Level Architecture

Frontend (Web)

Backend (Modular Monolith)

PostgreSQL Database

Adaptive Intelligence Layer

Subscription & Billing Layer

3.2 Architectural Principles

Domain-Driven Design

Event-Oriented Progress Tracking

API-First

AI-Ready by Design

4. Core Domains & Modules
4.1 User Domain

Roles:

Student

Teacher

Parent

Admin

Capabilities:

Secure authentication

Role-based access

Profile & lifecycle management

4.2 Curriculum Engine (Core Domain)
Concept

Curriculum is treated as Structured Learning Paths, not static content.

Hierarchy:

Curriculum
└── Grade
    └── Subject
        └── Lesson
            ├── Learning Outcomes
            ├── Exercises
            └── Assessments


Key Properties:

Versioned curricula

Country-based mapping

Expandable to custom/private curricula

Skill-tagged learning outcomes

4.3 Learning Delivery Module

Features:

On-demand video lessons

Structured exercises

Timed assessments

Progress checkpoints

Capabilities:

Resume lesson

Track time & attempts

Lock/unlock content based on subscription

4.4 Adaptive Learning Engine (v1 – Rule-Based)

Purpose:

Analyze learner performance

Detect mastery gaps

Recommend next best action

Inputs:

Assessment scores

Attempts count

Time spent

Error patterns

Outputs:

Replay lesson

Assign exercises

Unlock next lesson

Suggest teacher assistance

Adaptive logic is designed to be replaced لاحقًا بنموذج AI دون تغيير البنية.

4.5 Teacher Module

Capabilities:

Teacher onboarding & profile

Subject & curriculum assignment

Hourly rate configuration

Student support via:

Scheduled calls

Live sessions (future)

4.6 Parent Module

Capabilities:

Student progress overview

Performance reports

Risk alerts

Subscription visibility

4.7 Reports & Certification

Outputs:

Lesson completion reports

Mastery progress summaries

Periodic certificates

Parent-readable analytics

5. Commerce & Monetization
5.1 Subscription Model

Monthly / Quarterly / Yearly

Auto-renewal

Upgrade / downgrade support

5.2 Pay-Per-Use

Teacher calls

Special assessments

Advanced learning paths

5.3 Commerce Automation

Subscription activation

Content gating

Renewal reminders

Access revocation on expiry

6. Database Design (Conceptual Summary)

Key Domains:

Users & Roles

Students & Teachers

Curricula, Grades, Subjects

Lessons & Outcomes

Progress Tracking

Adaptive Missions

Subscriptions & Payments

Database is normalized, AI-ready, and multi-curriculum by default.

7. Frontend Experience (UX Intent)
Student UX

Clear progress indicators

Focused learning actions

Minimal cognitive load

Gamified motivation (future)

Parent UX

Transparency

Alerts

Simple analytics

Teacher UX

Availability management

Student overview

Revenue insights

8. MVP Scope (Build Phase)
Included in v1:

User authentication

Curriculum browsing

Lesson playback

Exercises & assessments

Progress tracking

Rule-based adaptive logic

Subscriptions & billing

Reports

Explicitly Excluded (Post-MVP):

AI knowledge graph

Physical hubs

Multi-tenant school isolation

Advanced compliance & certifications