Integration of AI for Adaptive Learning for MCQ Selection in PARAKH

A web-based adaptive multiple choice question(MCQ) testing system to adapt questions based on user performance. The system uses an adaptive algorithm to select questions based on user responses, time spent, and performance data.

Need of this project

AICTE is enhancing engineering students' skills through online assessments, focusing on psychometric characteristics. PARAKH teams require a web-based adaptive multiple-choice question (MCQ) testing system.

Features

• Personalized assessment for every student
• Topic wise skill assessment
• Progress Analysis
• AI generated quiz assessment
• Live testing
• Fullscreen mode
• Cross platform

Tech Stack

Client: React, Next.js, TailwindCSS

Server:

• Node,
• Express
• MySql
• Markov or Rasch Model for MCQ Generation

Installation

First, run the development server:

  npm run development
  //or 
  yarn dev
  //or
  pnpm dev

Roadmap

• Additional browser support

• Add more integrations

Used By

This project is used by the following companies:

• PARAKH, an online Student's Learning Assessment Portal to analyze every student's progress and generate a personalized assessment for the topics to focus on.

Process Flow

Screenshots