AI-Powered Learning Platform for Higher Education

A personalized Socratic coaching platform for college students at scale, built with a multi-LLM architecture and real-time knowledge tracing.

Year

2025

Duration

8 months

Client

A Leading US University

Services

AI/ML Development

Full-Stack Engineering

Product Strategy

Cloud Architecture

The Challenge

A major US university needed an AI-powered learning platform that could deliver personalized, 24/7 Socratic coaching to thousands of students across multiple courses. Traditional models couldn't scale with growing enrollment, and existing EdTech tools offered only static Q&A without adapting to individual learning levels. Instructors lacked visibility into common student misconceptions and had no efficient way to generate course-aligned assessments. The university required a platform that could serve both students and instructors while remaining flexible enough to support diverse question formats across disciplines.

Our Approach

Worked from detailed requirements provided by the university's faculty and education technology team
Designed a serverless, provider-agnostic AI architecture that supports OpenAI GPT-4.1, Anthropic Claude Sonnet, Google Gemini 2.5, and Meta Llama 4 interchangeably
Built a 'mega prompt' system that includes full course content, student profiles, and Socratic teaching methodology in every conversation, eliminating the need for RAG
Developed a knowledge tracing engine to continuously assess student mastery at the concept level
Created an extensible plugin system for question types, enabling support for essays, multiple choice, programming exercises, and discipline-specific formats

AI-Powered Learning Platform for Higher Education - Image 1

AI-Powered Learning Platform for Higher Education - Image 2

The Process

Architecture & Design

Translated the university's requirements into a serverless architecture on AWS with Aurora Postgres and Lambda, designed for scale and multi-LLM flexibility.

Backend & AI Subsystem

Built the Python backend with a fully isolated AI subsystem using Pydantic AI for structured outputs. Implemented provider-agnostic LLM interfaces supporting 4+ model providers.

Frontend Development

Developed an instructor-facing management tool and a student-facing learning interface as React/Next.js apps in a monorepo with shared components and auto-generated TypeScript types.

Knowledge Tracing & Analytics

Implemented knowledge tracing models, embedding-based clustering for common question and misconception identification, and instructor analytics dashboards.

Integration & Deployment

Integrated with university systems, built a VS Code extension for programming courses, deployed on AWS Amplify, and conducted pilot testing with real courses.

The Solution

We built a comprehensive AI-powered learning platform with two core applications. The instructor-facing tool enables educators to upload materials in any format (PDFs, LaTeX, Google Docs, videos), auto-generate questions with configurable difficulty, and monitor student performance through AI-powered analytics that surface common misconceptions. The student-facing interface provides real-time Socratic coaching that adapts to their mastery level, streams responses via WebSocket, and works across diverse question types through a plugin architecture. The system leverages modern LLMs' 200K+ token context windows to include full course content in every prompt, delivering deeply contextual coaching without the complexity of RAG pipelines.

AI-Powered Learning Platform for Higher Education - Solution Image 1

AI-Powered Learning Platform for Higher Education - Solution Image 2

Impact & Results

2M+

Students Scalable

LLM Providers Supported

<3s

Streaming Response Time

~$8

Per Student Per Course

Supports OpenAI, Anthropic, Google, and Meta LLMs interchangeably

Real-time concept mastery assessment via knowledge tracing

AI-powered misconception and common question detection via embedding clustering

Extensible plugin system for discipline-specific question types

Serverless architecture scales automatically with zero DevOps overhead

Prompt caching reduces AI costs by 80%+

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Technology Stack

We've partnered with organizations across sectors, bringing industry-specific expertise to every engagement.

OpenAI

Anthropic

Python

AWS

Next.js

PostgreSQL