Co-create with Ideas2IT











Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.
We'd love to brainstorm your priority tech initiatives and contribute to the best outcomes.
We'd love to brainstorm your priority tech initiatives and contribute to the best outcomes.

From Static Content to Personalized Learning: A Case Study in Building an AI-Powered Education Platform
Tools/Integrations: OpenAI, Langchain
Languages and Databases: Python, Node, Nodejs 3.5+, Azure Cosmos DB, MongoDB
The platform lacked adaptive intelligence, onboarding was static, educators had no AI tools for personalization, and gamification was detached from progress making it hard to deliver engaging, outcome-driven learning.
Stride K12 is one of the most widely used digital education platforms in the U.S., with over 55 million users and $10M+ in scholarships awarded. But behind the scale was a systemic challenge: student engagement was shallow, static, and transactional.
Parents expected personalization. Students looked for emotional connection and interactivity. Stride’s leadership recognized the need to shift from content delivery toward a more intelligent, immersive experience.
The gaps were clear:
Stride needed a fresh architecture designed for adaptive, intelligent learning.
Ideas2IT collaborated with Stride K12’s academic and product leaders to rewire the platform using generative AI, GPT-based assistants, and a gamified user experience.
Key Features Delivered:
All features were delivered as a unified experience across web and mobile platforms.
| Capability | Result |
| AI Tutor | Real-time content personalization tied to student performance |
| Touchless Onboarding | Reduced friction and increased first-week completion rates |
| Journaling Engine | Higher platform stickiness and deeper user profiling |
| Avatar Motivation System | Increased daily engagement and lesson completion |
| Educator Recommendation Tool | Time-saving for teachers, better student grouping |
Stride advanced beyond being a learning platform and became a dynamic, student-centered learning experience.
Tools/Integrations: OpenAI, Langchain
Languages and Databases: Python, Node, Nodejs 3.5+, Azure Cosmos DB, MongoDB
The platform lacked adaptive intelligence, onboarding was static, educators had no AI tools for personalization, and gamification was detached from progress making it hard to deliver engaging, outcome-driven learning.
The real insight? AI in education should foster deeper student connection.









