Development Preview
Learning Environment01
A structured learning experience
A learning environment designed to help children engage with foundational Mathematics and Language concepts through guided activities.
ActiveELP is an early learning platform under active development at Nurizan. Its initial learning engine includes five interactive activities, a 26-skill mathematics and language registry, and foundational mastery-based progression. Additional learning experiences, creative coding and AI-assisted features are planned for future development and should not be considered released functionality.
Core Capabilities
Technical specifications and functional architecture for ELP.
Phase 1 Developed
Adaptive Learning Engine
A learning engine designed to adapt activities and progression to each learner’s demonstrated understanding, using skill mastery patterns and learning performance.
26 Skills Registered
Foundational Maths & Language
Structured learning pathways covering foundational mathematics and language skills, organised around a registry of 26 learning skills.
5 Activities Developed
Interactive Learning Activities
Activity-based learning experiences that make foundational concepts easier to explore through practical interaction, feedback and guided practice.
Core Engine Developed
Mastery-Based Progression
A progression model that uses learner performance and mastery patterns to guide the next learning steps rather than relying only on fixed lesson sequences.
Planned Development
Creative Coding & AI Learning
Planned coding experiences that introduce children to real programming concepts through approachable challenges, creative projects and AI-assisted learning.
In Development
Personalised Learning Experience
An evolving approach to learning support, with the goal of making educational activities more responsive to individual ability, pace and progress.
Technology Stack
TypeScriptReact & Next.jsAdaptive Learning EngineSkill Registry & Mastery TrackingIndexedDB Local Data StorageAutomated Testing with Vitest
Architectural Focus for ELP
Applied Engineering
Clean architectural patterns, modular design, and robust API endpoints built for maintainability.
Defensive Security
Role-based access controls, encrypted data transmission, and strict principle-of-least-privilege practices.
African Market Fit
Optimized for local connectivity conditions with offline data caching and mobile money integration models.
Intuitive Experience
Designed around human workflows, prioritizing clarity, accessibility, and high adoption rates.
INSIDE ELP
A more adaptive approach to early learning.
Explore the learning experience, foundational skills and adaptive learning architecture being developed within ELP.
Developed
Interactive Learning02
Learn through activities
Five developed learning activities provide opportunities for guided practice and interaction with foundational concepts.
Developed
Skill Architecture03
Build skills progressively
A registered collection of 26 Mathematics and Language skills supports structured learning pathways.
Developed
Adaptive Learning04
Progress through mastery
Learning logic uses performance and mastery patterns to inform progression, including adaptive subtraction.