Microlearning App is an AI-powered Android app that transforms doomscrolling into context-aware 3-15 minute learning sessions with adaptive practice, spaced retention, and privacy-first design.
- Platform: Android (mobile-first)
- Mode: Offline-first core experience
- Learning loop: Short adaptive sessions + spaced review
- Intervention model: Context-aware nudges with user control
- Design: Minimal, high-contrast, low-distraction UX
This public repository is a product showcase and strategy layer. It is intentionally limited to protect proprietary implementation and content IP.
License for this repository: see LICENSE.
Third-party content policy: see Third-Party Content.
Fast session entry with clear, low-friction action design.
Retention, due-now load, streak, and deeper progress details.
Simple control surfaces for setup, personalization, and data controls.
- Students who want fast, focused learning in short free windows
- Universities exploring digital twin-informed microlearning pilots
- L&D teams validating adaptive, mobile-first learning loops
- Research and product partners exploring timing-aware intervention systems
The product direction is informed by a context-aware student digital twin concept (timing-aware microlearning, event-centric context modeling, learner-in-control design).
Public materials:
For collaboration, pilot programs, proposal access, or beta interest:
- Public contact email:
ADD_YOUR_EMAIL_HERE - Public intake form:
ADD_YOUR_FORM_LINK_HERE
What is intentionally not included in this repo:
- Full Android production source code
- Full question bank and content pipeline datasets (including Wikipedia-derived production packs)
- Internal scoring/ranking policies and quality-gate thresholds
- Proprietary adaptive learning and intervention logic internals
- Private deployment and operations details
See IP Boundary.