Self-funded initiative
Design education at Years 9–10 was largely confined to the classroom — students had limited access to learning resources outside school hours, and there was no structured digital environment for creative project work, peer critique, or AI-integrated practice. Seeing an opportunity to transform this, I independently conceptualised, funded, and deployed a Moodle Cloud LMS environment — building a complete learning ecosystem for 40+ Architecture and Graphic Design students from the ground up, without institutional budget or brief.
PROJECT OVERVIEW
Project Title: AI-Enhanced Moodle LMS for Graphic Design & Architecture Classes
Timeline: July 2025 - Present (Ongoing Development)
Investment: Self-funded educational technology initiative
Impact: 40+ active students across Years 9-10 design programs
Platform URL: Design futures
Needs analysis and learner persona mapping
Mapped diverse student skill levels, motivations, and learning contexts across Year 9–10 Architecture and Graphic Design cohorts to inform course architecture and adaptive pathways.
Platform deployment - Moodle Cloud
Independently set up and configured the full Moodle Cloud environment, site architecture, course structure, badges, forums, calendar, and assessment submission workflows - entirely self-funded.
Curriculum design using ADDIE and SAM
Designed five curriculum modules using ADDIE and Successive Approximation Model cycles, with scaffolded assessments, project-based challenges, and clear learning pathways for each skill band.
Ethical AI integration
Embedded a responsible AI framework across the curriculum, tool-specific modules for ChatGPT and Midjourney, ethics discussions on authorship and creative integrity, and a balanced approach positioning AI as enhancement rather than replacement.
Analytics and iterative improvement
Used Communalytics and Microsoft Reflect to collect and analyse 31 student comments, generating a sentiment and emotional tone breakdown that informed six strategic improvement recommendations including better onboarding and mobile optimisation.
his screenshot shows the landing page of the "Architecture and Design" course within the LMS. It highlights the course navigation structure, introductory video, and key resources such as the learning plan, assessment information, and a discussion forum. The sidebar displays upcoming events, latest badges earned, and recent announcements, promoting learner engagement and progress tracking.
This image showcases the LMS timeline and calendar view, displaying upcoming assessment tasks and key submission dates. It supports time management and course planning by providing students with a clear visual overview of due dates, tasks, and course-specific events. On the right, the badges area celebrates learner achievements, reinforcing motivation and participation.
Key themes: Emerging from the data included motivation, UI aesthetics, usability challenges, technical performance, and feature requests. Negative feedback was treated as design intelligence, informing targeted improvements including streamlined onboarding, mobile layout fixes, clearer submission pathways, and student co-design in the next iteration.
This project taught me something important about the difference between deploying a platform and designing for learning. Standing up a Moodle environment is a technical task designing the curriculum, the pathways, the feedback loops, and the AI integration within it is a learning design task. The analytics surprised me: even a 25% negative sentiment rate in the first two weeks is valuable data, not failure. It told me exactly where the friction was and gave me a roadmap for iteration. That's what data-informed design looks like in practice.