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8 monthsRemoteTeam required20-40 hrs/week
EduBridge — Adaptive Learning Management System
Posted 1 month ago
About this project
EduBridge is an adaptive learning management system designed for African universities and vocational training institutions, addressing a fundamental problem in African higher education: the gap between what institutions teach and what the labour market needs. Traditional African university curricula are often five to seven years behind industry requirements, content is delivered in a one-size-fits-all format that does not accommodate different learning styles, and students receive almost no personalised feedback on their progress.
EduBridge addresses this through three core innovations. First, an industry-aligned curriculum mapping engine that connects each course module to specific industry competencies and current job market demand data, so that both students and institutions can see the relevance of what is being taught. Second, an adaptive learning path algorithm that adjusts the sequence, depth, and format of content based on each student's demonstrated knowledge, learning velocity, and career goal. Third, an automated assessment engine that generates novel questions from learning objectives, reducing plagiarism while providing rich diagnostic feedback.
The platform is designed for the African higher education context: it must work on low-bandwidth connections, support USSD fallback for key functionality where smartphone access is limited, integrate with Pesapal for fee collection, and support the administrative workflows of African universities including letter-grade transcripts, semester-based timetabling, and examination board reporting formats.
The content authoring environment is built for African educators who may not be technically sophisticated — a Notion-like block editor that supports text, video (with automatic compression and CDN delivery), interactive exercises, code sandboxes for programming courses, and quiz builders. Content is AI-assisted: the system can auto-generate quiz questions, suggest related resources, and flag content that conflicts with recent industry updates.
The technical stack is Next.js for the frontend, Node.js/NestJS for the backend, PostgreSQL for structured data, MongoDB for learning content documents, Redis for real-time features, and AWS S3 with CloudFront for media delivery.
Roles on this project
3 of 3 still open
Fullstack Engineer
Build the course platform, student portal, and adaptive learning engine APIs.
Mid level
OpenView and applyML/AI Engineer
Build the adaptive learning algorithm, knowledge tracing model, and AI question generation system.
Senior
OpenView and applyUX/UI Designer
Design the student learning experience, educator authoring tools, and institutional admin interfaces.
Mid level
OpenView and apply
This project takes a single bid for the whole team. Applying to an individual role above is the alternative if you are bidding on your own.
Milestones
KES 3,000,000 across 3
Course authoring platform & student portal
KES 800,000
Not yet fundedDue 1 Jul 2026Adaptive learning engine & assessment module
KES 1,200,000
Not yet fundedDue 30 Sept 2026Admin dashboards & Pesapal billing integration
KES 1,000,000
Not yet fundedDue 1 Dec 2026
No milestone has been funded yet. Each one is paid into escrow before its work begins, and released to you once the deliverable is approved.