From Static Content to Personalized Learning: A Case Study in Building an AI-Powered Education Platform

Stride K12 partnered with Ideas2IT to evolve from static e-learning to an AI-powered education platform with avatars, tutors, journaling, and real-time personalization driving student engagement and performance.

The Situation:

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 wanted emotion and interactivity. Stride’s leadership knew it was time to make a leap from content delivery to intelligent experience.

The Problem:

Engagement dropped quickly

after onboarding especially for younger students

Learning felt impersonal

even robotic, with no contextual feedback

Onboarding was rigid

lacking emotional resonance or visual experience

Educators lacked Al tools

to group students or recommend personalized content

Gamification was disconnected

from actual academic progress

Stride needed a fresh architecture designed for adaptive, intelligent learning.

What We Built:

Ideas2IT collaborated with Stride K12’s academic and product leaders to rewire the platform using generative AI, GPT-based assistants, and gamified UX.
  • AI Tutor: 

    Performance-based chatbot that identifies weakness areas, maps them to learning objectives, and runs post-assessment coaching
  • AI Teacher Assistant:

    Recommends groupings, learning paths, and resources to instructors
  • Touchless Enrollment:

    Built with Stable Diffusion XL and ReadyPlayerMe, enabling animated 3D avatars to onboard users
  • Gamified Motivation: 

    Students earn points to upgrade their avatars, tied directly to lesson completion
  • Daily Journaling: 

    GPT-powered check-ins that log mood, motivation, and study focus used to tune content delivery
  • Clickstream Intelligence:

    Personalized flows based on parental behaviors and student navigation

Everything was integrated into a seamless UX across web and mobile platforms.

The Results:

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.

What This Taught Us

Gamification is only valuable when tied to academic milestones

Emotional intelligence (SEL) needs to be built into the UX not added later

Personalization at scale is possible but only with deep system integration and adaptive content flows

The real insight? Al in education doesn't mean more automation. It means better connection
Embed personalization and intelligence into your learning product

Co-create with the Ideas2IT AI Lab:

Bring Us In. Wherever You’re At.

What Happens When You Reach Out:

  • We schedule a quick call to understand your AI priorities and context
  • Pick the format: workshop, assessment, pilot, or build sprint
  • We bring in the right team from our AI Lab to co-create with yours
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