Inspiration The core inspiration for Auxesis came from a significant problem in education: one in five students has a learning disability, yet most educational platforms rely on a "one-size-fits-all" approach. This failure creates a cycle where strong learners get bored, and struggling learners get frustrated and fall further behind. We saw a necessity to create a system where personalized, inclusive education was the default, not the exception.
What it does Auxesis (Greek for "growth") is an adaptive learning platform that customizes the educational experience for every student.
Adaptive Quiz System: The platform adjusts the difficulty of questions in real-time based on the student's performance. If a student answers correctly, they get a harder question; if they answer incorrectly, they get an easier one, ensuring they remain in the ideal "zone of proximal development".
Built-In Accessibility: It includes features like Text-to-Speech to read questions aloud, dyslexia-friendly fonts (like OpenDyslexic), high contrast and dark modes, and adjustable font sizes. Accessibility is the foundation of the platform, not an afterthought.
Real-Time Dashboard: Teachers can instantly see which students are struggling, track accuracy and speed, and identify weak topic areas, allowing for quick intervention.
How we built it The MVP (Minimum Viable Product) was successfully built in a 24-hour timeframe during the MakeUC hackathon.
Frontend: Built using React.js and Tailwind CSS for fast development and accessible components.
Backend: Utilized Firebase to provide a serverless architecture, enabling real-time updates without complex server management.
Adaptive Engine: A custom algorithm was developed based on Vygotsky's Zone of Proximal Development educational theory.
Accessibility Integration: Text-to-Speech was implemented using the Web Speech API, a built-in browser feature that requires no external libraries.
Challenges we ran into The primary challenge was solving the core problem that existing EdTech competitors fail to address: integrating a powerful adaptive algorithm with comprehensive accessibility. We found that:
Competitors like Khan Academy have adaptive learning but weak accessibility, lacking dyslexia fonts or extensive text-to-speech.
Platforms like Duolingo have strong gamification but are not designed for multi-subject learning or students with disabilities.
Our challenge was to successfully prove that both accessibility and adaptive learning could be implemented together as a single, core feature.
Accomplishments that we're proud of We are most proud of developing a working, demo-ready prototype that fulfills all primary requirements within the 24-hour deadline. Specifically, we successfully implemented:
The core adaptive quiz algorithm.
Full Text-to-Speech integration.
All essential accessibility settings.
The fact that our platform is designed specifically for learning disabilities and provides an advantage by combining accessibility and adaptive learning, which is a gap in the market.
What we learned We learned that by prioritizing WCAG 2.1 AA accessibility from the beginning, we could use a modern, lightweight tech stack to build a complex, compliant educational tool quickly. Most importantly, we confirmed our conviction that inclusive education is not just a moral ideal, but a scalable, immediate need that allows a student with dyslexia to learn as effectively as their non-dyslexic peers.
What's next for Auxesis Our roadmap is structured into clear phases to move from the MVP to a national scale:
Immediate Next Steps: Get feedback from MakeUC judges and mentors, refine the MVP, and deploy the working version.
Validation (Weeks 1-4): Conduct user research with at least 10 special education teachers and gather direct feedback from students with learning disabilities to refine the core algorithm.
Growth (Months 2-6): Pilot the platform with a school district (starting with 1, expanding to 5) and focus on expanding the teacher dashboard functionality, including implementing AI-generated question content.
Scale (Year 2+): Establish national presence through B2B partnerships with school districts and launch a B2C freemium model for individual learners.
Built With
- firebase
- react.js
- tailwindcss
- vercel
- web-speech-api

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