AI Learning Assistant Suite speeds up planning and deepens classroom engagement
Education Technology (K-12 & Professional Learning)
AI-Powered Lesson Planning, Feedback, and Ethics Curriculum Support
Node.js
LangGraph
LlamaIndex
Vector Store
Mongo (RLS)
GPT-4o
Claude-3
Azure VNet managed by IYKYK
DevOps
faster lesson planning across participating teachers
rubric-aligned feedback accuracy in reflection scoring
more engagement time vs. traditional lessons
The Challenge
Educators using IYKYK's LMS and Ethics4Kids curriculum needed support in three key areas: Planning standards-aligned lessons quickly. Providing personalized, rubric-aligned student feedback. Engaging K-5 learners in abstract topics like digital citizenship. With limited prep time and strict data policies, IYKYK required a secure, real-time AI assistant embedded in their platform that could support teachers and students without compromising privacy.The Solution
IYKYK Education launched an AI Learning Assistant Suite, a set of modular tools integrated directly into their LMS and Ethics4Kids Exchange programs.
Conversation UX
Context-aware commands like /plan, /feedback, and /admin, plus persistent sidebar chat. Supports both voice and text.
Orchestration
LangGraph routes intends to:
Parameterized SQL (gradebook, roster)
RAG (lesson docs, standards)
LLMs for generative support
Data Security
Mongo RLS ensures teacher-specific access; student data never leaves the VNet.
Continuous Evaluation
Optik + Comet dashboards track latency, hallucination, spend, and rubric compliance. Nightly regression tests trigger rollback if drift occurs.
Key Features
Plan
AI-assisted lesson planning with standard-aligned outcomes.
Feedback
Instant, rubric-based feedback for student reflections.
Admin
Roster-aware commands for grade lookups and progress tracking.
Live Avatar Mentors
LLM-powered HeyGen characters answer student questions in real-time.
Rubric-Guarded Generation
Every AI output is aligned with educational objectives.
LMS Integration
Launch modules, generate printables, and track usage within your existing system.
Implementation Timeline
7 weeks from Statement of Work to full deploymentLet's Take Your Business
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