Learning platforms treat students as passive consumers. Psyduck treats the entire educational workflow — scheduling, live sessions, assignments, feedback, analytics — as a system design problem with role-based access, real-time state, and structured data flows.
The Problem Space
Educational platforms tend to bolt features onto a content management system rather than designing for the full lifecycle of a course. Instructors need session management, assignment creation, and student analytics. Students need live participation, assignment submission, and progress tracking. Admins need user management and platform oversight. Most solutions handle one of these well and ignore the rest.
Engineering the Solution
I designed around three distinct user journeys — student, instructor, admin — with shared infrastructure underneath. The service layer handles session scheduling, assignment lifecycle, and real-time collaboration state. I chose a component-driven React architecture with route-based code splitting so each role loads only the views it needs.
A React-based educational platform with role-based dashboards, course management, live session infrastructure, assignment creation and submission pipelines, a feedback system, and analytics views. The architecture includes a service layer abstraction, authentication with role-based access control, and UI components designed for the specific workflows of each user type.
Impact & Outcomes
A complete platform prototype demonstrating multi-role educational workflows with structured data flows for sessions, assignments, and analytics. The UI supports instructor, student, and admin journeys through a unified component system.
Reflections & Takeaways
Key observations from building this system:
- Multi-role systems need role-specific UX testing. What feels intuitive for an instructor often confuses students, and admin views need different information density than either.
- Service layer abstractions pay off when the persistence layer changes — the UI components never need to know whether data comes from an API, local state, or a real-time socket.
- Educational workflows have more state transitions than most CRUD apps. Assignment lifecycle alone (created → assigned → submitted → graded → returned) requires careful state machine design.